Information and Communication Technologies, ICTs, has now for decades being increasingly taken into use for higher education, enabling distance learning, e-learning and online learning, mainly in parallel to mainstream educational practise. The concept Blended learning (BL) aims at the integration of ICTs with these existing educational practices. The term is frequently used, but there is no agreed-upon definition. The general aim of this dissertation is to identify new possible perspectives on ICTs and access to higher (...) education, for negotiating the dichotomy between campus-based and ICT-enabled education. The access options of BL are in focus for this dissertation, although BL is generally seen as a campus phenomenon, and shares a place perspective. The main research questions in the dissertation are 1) how BL can be understood in the context of increased access to education, moreover, (2) how time can be work as a more constructive perspective for designing ICTs in education, compared to place. The dissertation comprises five articles. The first is conceptual and concentrates on place and time in blended learning, and forms a time-based model and perspective, drawing on the tension between synchronous and asynchronous modalities instead of a place-based center-periphery model. The following article examines the differences between North American and European use of the term BL, in education and research, and finds that BL is not much used by European researchers, although the term is frequently used in educational environments. Two design and intervention studies, articles 3 and 4, make experiments using the BL time-based model. In article 3, a group of untraditional learners at a learning centre in Arvidsjaur attends a synchronous co-located study circle group and participates in an asynchronous and global Massive Open Online Course (MOOC). In article 4, nine students in a preparatory year for entering engineering studies volunteer and participate in a pilot distance course experiment, where prevention of procrastination is a high priority. For this, agile framework theory, constructivist learning theory and the time-based model are used in design and analysis. The last article (5) reconnects learning to place by discussing and adapting Triple- and Quadruple Helix theory for regional development in the knowledge society to four regional European cases. At the end of the synthesis, an outline of the access affordances with the time-based model is given, drawing on Adam’s timescape theory. The discussion of ICT integration into education is made drawing on Floridi’s Philosophy of Information, which provides many tools to view discourses of ICTs in education critically, and also envisions the concept of e-ducation in the infosphere, where other blend issues appear connected to weak artificial intelligence and the pervasive power of ICTs. (shrink)

Aim of the Study: This study examined the ICT literacy level of primary education lecturers and its implications for effective teaching and learning. Methodology: Employing a descriptive research design, a survey method was utilized to gather data from tertiary institutions in Anambra State, southeastern Nigeria. The population comprised tertiary institutions offering primary education, early childhood education, and related courses. A self-structured questionnaire was administered via Google survey, comprising demographic data and questions aligned with the research objectives. The instrument's (...) validity was ensured through expert validation, while reliability was tested using the test-retest method, yielding a reliability score of 0.75. Data were collected virtually from knowledgeable respondents via email, WhatsApp, Instagram, and Facebook groups. Eighty (80) appropriately filled questionnaires were received within three weeks. Descriptive statistical analysis, including mean and standard deviation computation, was employed to analyze the data. Findings: The result showed that Primary education lecturers vary in their ICT proficiency, impacting teaching effectiveness. While some confidently employ technology, positively impacting student engagement, others struggle, hindering integration. ICT-savvy and proficient lecturers create interactive lessons, fostering active learning. Moreover, professional development through conferences, workshops, and sandwich courses enhances ICT literacy, improving teaching quality and learning outcomes. Conclusion: The study contribute to understanding the ICT literacy level of primary education lecturers and inform strategies for enhancing teaching effectiveness and student learning outcomes in the digital age. (shrink)

This proceedings book is the offspring of the online national conference on “Reading and Writing with ICTs: Teachers’ and Learners’ Perceptions” that was held on 9/10 March 2022 at Badji Mokhtar University- Annaba- Algeria. This conference was part of a project accepted by the ministry of Higher education and scientific research (PRFU). Scholars from different corners of Algeria participated in the conference two days. Indeed, Information and communication technology (ICTs) is the marked print of this era. It is the (...) digital age were smart phones, computers and internet are widely spread. With the outbreak of COVID 19, higher education opted for online learning as the only solution to save the learning process. Besides, in order to learn a language, reading and writing represent the two essential literacy skills that learners/teachers should focus on. After a blind double- review, twenty articles were accepted under three sections. The first is about “Developing the reading skill through ICTS: Teachers’ and Learners’ perceptions with six articles” with six articles. The second section on “Developing the writing skill through ICTS: Teachers’ and Learners’ perceptions” includes seven articles. The last section is on “ICTs and Language Learning” with seven articles. The proceedings book ends with a number of recommendations for a better use of ICTs in the educational context in Algeria. (shrink)

Due to the emergence of ICT in ELT sector, seasoned English teachers find it resistant to such a shift despite having a positive attitude towards its use. This quasi-experimental study aimed to examine the extent to which seasoned English language teachers developed their ICT skills through a Service-Learning Activity (SLA). Using a one-group pre- and post-test design, this study collected the data through a modified Needs Assessment Survey (NAS) distributed to fourteen purposively selected participants. It was administered to examine (...) what professional ICT development would greatly benefit them. The data were analyzed using descriptive statistics and themes according to the Service-Learning Activity (SLA) topics. A Post Evaluation Survey (PES) was administered, and its result was compared to the initial test. The results showed that the seasoned teachers gained significant learning gains in terms of (1) sharing of knowledge from other teachers; (2) being encouraged to use ICT tools; (3) training opportunities; (4) working with other colleagues; and 5) attending professional workshops which include SLA. However, this study unveiled that the English teachers had no significant difference in perceptions regarding the roles of computers in teaching before and after the intervention. Limitations and recommendations for future studies were discussed. (shrink)

Information communications and Technology were introduced into secondary schools with the goal of giving teachers access to information while encouraging their distinctive and innovative techniques for teaching and learning. Teachers become enthusiastic and committed to their work when given demanding tasks that result in positive educational outcomes. However, it is clear that instructors in Kenya continue to fall behind in this area. Without a grasp of leadership behaviors, ICT integration in Kenya remains a phantom. The study aims to (...) evaluate the principal's intellectual stimulation techniques and the empowering use of ICT in teaching and learning in Kenyan public secondary schools. The study used a sequential explanatory mixed method design and focused on 62 school principals chosen through census, 186 teachers, and 372 students selected using a simple random sample process. Data was collected using MLQ-structured questionnaire interviews, document analysis, and checklists. Descriptive analysis was used to explain the patterns in the data and the status of variables, while inferential analysis was used to evaluate the relationship between the variables using regression analysis. The study found a moderately substantial positive correlation between ICT use in school and intellectual stimulation r (108) = 0.534, p < 0.001). It was discovered that principals' actions were a significant predictor of ICT adoption in secondary schools; therefore, principals were recommended to foster a culture of trust among teachers by establishing a welcoming workplace atmosphere. This would encourage instructors to overcome challenges using creative and new approaches, ultimately boosting the usage of ICT in the classroom. (shrink)

This systematic literature review investigates critical factors influencing the use of Information and Communication Technologies (ICT) in teaching and learning environments. Drawing upon existing research, the study examines key themes including teacher attitudes and beliefs, professional development, infrastructure, and pedagogical integration. Findings indicate that positive teacher attitudes towards ICT and effective professional development programs are essential for successful technology integration. Moreover, the availability of reliable infrastructure, such as internet connectivity and hardware, plays a vital role in facilitating equitable access (...) to ICT resources. Pedagogical integration emerges as a crucial aspect, with aligning technology use with instructional objectives and fostering active, student-centered learning experiences identified as key strategies. Innovative pedagogical approaches, including inquiry-based learning and flipped classrooms, leverage ICT to enhance engagement and learning outcomes. The study highlights the interconnectedness of these factors and underscores the importance of addressing them holistically to optimize the educational benefits of ICT integration. By informing evidence-based practices and policy recommendations, this research aims to support educators, policymakers, and stakeholders in enhancing teaching and learning outcomes in the digital age. (shrink)

Throughout history, education has always been essential for humanity's justice and fundamental for the creation of a free and satisfying society with the dissemination of knowledge. Hence, in addition to the life occurrences educating people, traditional higher education methods have played an important role for a long period. However, the age of technology has changed the educational system along with the people's lifestyles to meet the continuously changing conditions. During the past twenty years, the Information and Communication Technologies (...) (ICTs) led to the emergence of e-learning non-traditional educational methods bringing about an innovative dimension of virtual learning. With its beneficial features provided by the Internet and various technologies, this method passes the control of time and location from the tutors to the students during the learning process. Despite the entrance of online education into the students' life many years ago, the Covid-19 outbreak initiated in 2020 turned this method into the only possible way of education for almost two years. Afterward, plenty of studies investigated its effects on students' social and academic life, mostly considering its negative impacts on their mental health and motivation due to interaction issues. They also pointed out the specific problems of tactile learner students in the lack of face-to-face design courses. As an innovative solution able to be adopted, game technologies, increasing immersion of the learner in a real-world skill, and triggering motivation are one of the best methods integrated into educational systems. Known as serious games, these games, adopted by almost any domain, convey educational content along with entertainment, increasing interaction. They train or enhance a certain skill or topic to the player by immersing them. While serious games are more expanded nowadays, they are still not being played by the mass public due to people's immersiveness expectations of a game. Hence, the Head-Mounted Displays (HMDs), with their emergence, increased the players' engagement and immersion with all types of virtual environments in digital games. This technology, however, evolved serious games area most, among others, by enabling the opportunity to provide a riskless and low-cost learning environment for real-world skills. In the process of suggesting serious games as a replacement for the traditional educational methods, the most important factor is being aware of their effectiveness for education. Generally, digital games, one of the world's biggest and fastest-growing industries, rely heavily on the virtual landscape, a major part of its development process. Its design demands remarkable effort, and it directly affects the whole game's characteristics. Hence, serious games, as a type of digital game, carry the same attributes. With the appearance of virtual reality technology, gaming started to gain more immersiveness and engagement with artificial elements and environments. Although virtual landscapes were always being developed since the emergence of digital games, the studies taking virtual landscapes into account are mostly using them as a tool for enhancing real spaces, not as a domain for the sake of its development. While other design domains are applying various design methodologies, it is challenging to find a standard design methodology for the design and production of virtual landscapes in the gaming industry, leading to inconsistent and low-quality results. Hence, it comes to the question of what is the virtual landscapes' role in serious games and their effect on the data comprehension rate. Since the literature lacks regarding the gradual change of the virtual landscape in serious games and the content they transmit, this thesis aims to figure out the gradual chronological evolution of the virtual landscapes in serious games. It also aims to seek how this change and the virtual reality technology invention have affected the contents transmitted by digital games and its influence on the player interaction and learning rate. To do so, in the process of this thesis, we developed, tested, and evaluated various serious games, both text-based and with 360° photos. The steps taken revealed the reluctance of the players to follow the providing educational content and their inadequacy of interaction. Hence, the thesis seeks the reasons ending to this result and the ways of increasing this learning rate. Afterward, the thesis uses a currently available but not massively used digital game classification methodology. This methodology, which is based on the principles of architecture, landscape architecture, and urban planning, classifies the games based on their constituting virtual landscapes. Hence, the thesis considers all Steam games, one of the biggest video game digital distribution services, filtered with the 'education' tag, ending in 2531 digital games. Afterward, adding the 'game' tag the result reduced to 1102 games. Finally, with some manual filterings ignoring the irrelevant content, the final number decreased to 702. Sorting chronologically, we made an Excel database including the games' introductory information, the content they transmit, their release date, if they support HMD or not, and whether they are simulation games or not. Due to Steam's dating spectrum, our database includes games dating back from 1992 to 2020. Afterward, we classified all of these games using the virtual landscape classification methodology and generated their related codes based on their player scale, story, dimension, space shape, and interaction level. Investigating the results, they revealed some growth patterns relating to the content educated in the game, the VR technology, and the virtual landscape evolution. Adding the user reviews of Steam, we reverse engineered five of the best serious games on the database due to the digital game design methodology. This methodology divides the games' virtual environment into five layers, namely, player activity map (PAM), story layer, natural environment layer, virtual environment layer, and media layer. Reverse engineering the five best digital games ever, based on the IGN database, enabled us to compare the outcomes. Due to released data, we understand how the games' assets are distributed within the various layers of the virtual environment in the most successful games. Finally, the thesis aims to provide a framework based on these results for developing serious games to increase player interaction and enhance the learning rate. However, these results can be expanded to any virtual landscape other than only serious games' for their interaction enhancement. Currently, the landscape architecture domain only adopts the virtual landscape area as a tool for enhancing design in the real world. However, in the near future, landscape architects will perform in the virtual landscape area as a domain to be enhanced. Hence, that day, the results of this study will play an important role and will be a roadmap for generating highly interactive virtual landscapes. (shrink)

This study aimed to examine the challenges encountered by science teachers in implementing modular distance learning and the coping strategies they employed to address these challenges. Using a mixed-method research approach, data were collected through a survey of thirty-eight Junior High School science teachers in Mandaon District in Masbate, Philippines. Findings revealed that the implementation of modular distance learning presented various challenges, including technical problems, distribution and retrieval difficulties, student utilization issues, and unreliable assessment results. To cope (...) class='Hi'>with these challenges, teachers employed various strategies, including attending ICT training, asking for technical assistance, developing income-generating projects, and utilizing differentiated instruction and targeted assessments. The study also highlights the need for more parental involvement, adequate funding for schools, clear instructions and guidance to students, and proper monitoring of student performance. Overall, the study suggests that with effective implementation and support, modular distance learning can be an effective mode of instruction, particularly during times of crisis. (shrink)

The study focuses on the environmental challenges encountered by grade 11 STEM students at Lopez National Comprehensive High School in Online Distance Learning (ODL). This determines the significant relationship between the demographic profile and the environmental challenges in terms of ICT technical issues and concerns; environmental problems; and physical and digital distractions. The researcher utilized quantitative correlational research with the use of a simple random sampling technique to determine the 90 STEM students at Lopez National Comprehensive High School, (...) Philippines. The data revealed that the students’ demographic profile is significantly related to environmental issues. Based on the results of the study, power outages cause stress and affect students' performance. The power interruptions reduced the willingness of students to develop presentations and prepare for online classes. It also shows that a suffocating environment can make it difficult to stay motivated to complete the tasks assigned in online classes. And lastly, distractions such as Facebook, Twitter, YouTube, Instagram, and TikTok make the students lose their eagerness to do the activities that are given in online classes. The new normal e-learning modality calls for an intervention that includes setting aside a specific space or device for online classes, offering thorough training on how to use the platforms, keeping lines of communication open between students and teachers, implementing flipped classroom instruction, strengthening parent-teacher partnerships to ensure support for students learning from home, and offering advice and counseling to stakeholders. (shrink)

E-learning has taken it full fudged emergence with regards to Covid Scenario. Also, the lockdown of schools and playgrounds, the restriction of outdoor activities, physical and social isolation leads to the behavioural change among school children. Students are more attached to their schools, teachers and friends. But Covid 19 has changed the entire situation changed and they were held in their home itself. Students were not able to meet their friends and teachers, they especially miss their school and (...) class environment. It is to be noted that maintaining social isolation and following “Stay at Home” plays a very high impact among school students. Also, the lockdown created for families and children sit inside their homes. Which ,We cannot leave children’s education as it is. In order to continue their education, Indian Government has taken many efforts .Even schools are doing their best to bridge the gap between teachers and students by providing online education because of the absence of regular classroom education. Because of the introduction of online class by schools, on the one side students are not missing the education, on the other side students and parents faces a lot of problems (Physical and mental. It also puts them at the risk of unsupervised access to websites and other unwanted sites in internet. (shrink)

The analysis shows that poor internet connection, lack of ICT skills, and psychological issues are associated with lower online learning comfort among secondary school students. Among these effects, the impact of psychological problems, like concentration difficulties, is the strongest (see Figure 1). We also find that learning comfortability is positively associated with learning effectiveness (see Figure 2).

This study examines the relationship between technological profile, digital literacy, and self-efficacy among teachers in blended learning. The study utilized the descriptive-correlational design. The participants involved 35 teachers selected via purposive sampling from urban schools in Maasin City implementing printed and online teaching modalities. Standardized tools assessed teachers’ digital technology profile, literacy, and self-efficacy. Significant findings revealed that teachers have easy access to digital technology, are somewhat familiar with technological concepts, often utilize ICT-based technologies, and perceive usage purposes (...) as necessary. Teachers’ digital literacy and self-efficacy are at the average level. Correlation analysis established a significant and strong relationship between the technological profile of teachers and their digital literacy. Digital literacy also significantly and strongly correlated with self-efficacy. This study concluded that the technological profile of teachers influences their digital literacy level. Teachers with high digital literacy skills increase their self-efficacy in technology integration. The blended learning approach constitutes teachers’ digital literacy and self-efficacy as critical players of effectiveness. (shrink)

A growing number of young people with disabilities is pursuing university education. Available research on the impact of Information and Communication Technologies on this matter has mainly focused on assistive technologies and their compensatory role for the adjustment of this group of students to the tertiary setting. However, limited research has looked at the role played by digital technologies such as social media and mobile devices in the transition to university, a critical period of change for all students but (...) more challenging for those with impairments. This paper presents the findings of an empirical study that investigated the experiences of students with vision impairments aged 18 to 24 who were transitioning to a New Zealand university. The findings draw from observations, a researcher diary, focus groups, individual interviews, and data from social media. The study found that new technologies play several enabling roles that help students to manage diverse transition challenges. These roles not only include aspects such as impairment compensation, communication, information, and learning but also support arrangement, collaboration, and social connection and participation. By incorporating in the analysis the potential of digital tools, the article updates and expands the understanding of the role of ICTs in higher education from experiences and views of young people with vision impairments. (shrink)

Aim: This study attempted to assess the organizational resiliency in the implementation of Basic Education School Learning Continuity Plan and to design a resilient basic education school learning continuity plan. -/- Methodology: The study used mixed method which is quantitative and qualitative. The data for the quantitative part of the study were gathered through a survey with the 19 school heads and 345 teacher- respondents while the qualitative method was conducted through focus group discussion interview with (...) 19 key informants who were composed of the teachers, school heads and stakeholders. The research instrument that was used for the perceived organizational resiliency was a survey questionnaire that was validated by the experts and which the reliability was tested through Cronbach’s alpha with excellent level of internal consistency. The statistical treatment for quantitative results used mean and standard deviation to determine the perception of the respondents with regards to the organizational resiliency on the implementation of the BE-SLCP and Pearson Product Moment Correlation Coefficient, testing its significance at the 0.05 level was used in finding out the relationship between the evaluation of the basic education school learning continuity plan and school performance indicators and organizational resiliency. While content analysis was employed for the qualitative results. -/- Results: The salient findings of the study were as follows: The result showed that the rate of enrollment during pandemic is low while the drop-out rate fostered a positive rate. The school heads and teacher respondents perceived the schools’ organizational resiliency as high. Based on the feedback of the key informants the lessons learned from the implementation of Basic Education School Learning Continuity Plan are strong collaboration, consistent communication, and enhanced ICT Skills. The best practices that were observed are sustained partnership and continuous implementation of programs, projects, and activities. The challenges encountered include authenticity of assessment and low capability of learning facilitators at home. The respondent assessed the developed learning continuity plan as very highly satisfactory. -/- Conclusion: The organizational resiliency of schools is high in its performance of continuing education during pandemic. The study suggests that the schools may developed creative strategies on increasing enrolment; the school may strengthen its school-based management level to ensure that the plans and goals for continuity of education will be achieved; the school may also consider strengthening the stakeholders’ involvement and the school may consider the strategy of close coordination and constant monitoring and follow-ups with parents/guardians on the implementation of learning delivery. (shrink)

This study employed an Interpretative Phenomenological Analysis (IPA) which aimed to explore the lived experiences, challenges, and coping mechanisms of teachers in the public school both in elementary and secondary schools in Malolos, Bulacan. The findings of this study revealed that most teachers are significantly challenged with the poor internet connection, multitasking and multitudes of paperwork to be submitted, communication with the parents and teachers and the different modalities of learning which are cited as the contributing factors (...) of stress and anxiety. As to the experiences of the teachers, they became a module writer, online teacher, reporter while doing the online classes and juggling with the work at home as a homemaker. However, the good experiences of this pandemic brought realization to the teachers that they were able to unleash their potential and utilized the skills needed to survive in this difficult time. Moreover, teachers coped up with the situations through prayers, listening and watching motivational videos, yoga and others became farmers too just to avoid stress. Finally, the teachers also gave their suggestions to further help other teachers also who are struggling during this pandemic. Majority of the participants gave emphasis to focus on stabilizing mental health. Others also highlighted the need to seek the assistance of other people who are knowledgeable in terms of ICT. Continuing innovation and researching to update oneself was also one of the suggested ways to deal with the current paradigm shift in education. (shrink)

This study analyzed the behavioral characteristics of ICT users among postgraduate students leveraging the Latent Class Analysis (LCA). The study, anchored on the Planned Behavior Theory, followed the exploratory research design. It adopted the cluster random sampling technique in selecting 1,023 respondents from a population of 2,923 postgraduate students in four federal universities in South-South Nigeria. “Behavioural Characteristics and Job Creation Questionnaire (BCJCQ),” developed by the researchers, was used for data collection. Upon data collection and LCA analysis, the five-class solution (...) was accepted as the best-fitting model, based on statistical fit indicators (such as AIC, BIC, entropy, Gsq, and Chsq) and theoretical grounds. Consequently, five classes of behavioral ICT users were identified and named based on their item–response probability, conditional on class. The five classes were named Trendy, Outmoded, Pragmatic, Disciplined, and Social users of ICT, with their unique characteristics discussed. The study tested for job creation differences among the classes using a one-way ANOVA and found a significant difference. On average, pragmatic users of ICT created more jobs than social, disciplined, and outmoded users. Trendy users were, on average, the minor job-creating class of ICT users. The study compared the bivariate differences in job creation among the classes using the Tukey HSD test of multiple pairwise comparisons. Based on the results obtained, discussions were made with implications for further research in the evolving area of LCA. (shrink)

This fifth volume on Advances and Applications of DSmT for Information Fusion collects theoretical and applied contributions of researchers working in different fields of applications and in mathematics, and is available in open-access. The collected contributions of this volume have either been published or presented after disseminating the fourth volume in 2015 in international conferences, seminars, workshops and journals, or they are new. The contributions of each part of this volume are chronologically ordered. First Part of this book presents some (...) theoretical advances on DSmT, dealing mainly with modified Proportional Conflict Redistribution Rules (PCR) of combination with degree of intersection, coarsening techniques, interval calculus for PCR thanks to set inversion via interval analysis (SIVIA), rough set classifiers, canonical decomposition of dichotomous belief functions, fast PCR fusion, fast inter-criteria analysis with PCR, and improved PCR5 and PCR6 rules preserving the (quasi-)neutrality of (quasi-)vacuous belief assignment in the fusion of sources of evidence with their Matlab codes. Because more applications of DSmT have emerged in the past years since the apparition of the fourth book of DSmT in 2015, the second part of this volume is about selected applications of DSmT mainly in building change detection, object recognition, quality of data association in tracking, perception in robotics, risk assessment for torrent protection and multi-criteria decision-making, multi-modal image fusion, coarsening techniques, recommender system, levee characterization and assessment, human heading perception, trust assessment, robotics, biometrics, failure detection, GPS systems, inter-criteria analysis, group decision, human activity recognition, storm prediction, data association for autonomous vehicles, identification of maritime vessels, fusion of support vector machines (SVM), Silx-Furtif RUST code library for information fusion including PCR rules, and network for ship classification. Finally, the third part presents interesting contributions related to belief functions in general published or presented along the years since 2015. These contributions are related with decision-making under uncertainty, belief approximations, probability transformations, new distances between belief functions, non-classical multi-criteria decision-making problems with belief functions, generalization of Bayes theorem, image processing, data association, entropy and cross-entropy measures, fuzzy evidence numbers, negator of belief mass, human activity recognition, information fusion for breast cancer therapy, imbalanced data classification, and hybrid techniques mixing deep learning with belief functions as well. (shrink)

El emergente paradigma educativo del aprendizaje ubicuo está dando lugar a nuevos entornos virtuales de aprendizaje. El objetivo de este estudio es contribuir a esta transformación en los procesos de aprendizaje para avanzar en el dominio del inglés, con un diseño didáctico innovador inspirado en el concepto de ‘entorno personal de aprendizaje’, con el uso de vídeos de YouTube. Los resultados demuestran el potencial pedagógico de los PLE, su eficacia no sólo a nivel cognitivo sino también como experiencia emocional. Este (...) diseño también se ha mostrado de utilidad para promover la autonomía y la motivación intrínseca del estudiante. (shrink)

With English as a universal language and a central player in a globalized digital world, the need for an acceptable level of teacher ICT application skills, competence among teachers of English is necessary. The Government of Kenya (GoK) has put in concerted efforts to propel Kenya towards vision 2030 by investing in ICT integration in curriculum implementation, to equip a professional teacher with ICT skills for quality classroom practices and satisfactory learner performance in national examinations. Despite the efforts (...) by the GoK to equip teachers with ICT skills for good results in English, Kenya National Examinations Council (2022) contends, overall performance in English for the past 5 years falls short of the average mean of 50% and relentless effort from teachers is still required. The purpose of this study was to investigate the influence of teacher level of ICT application skills on implementation of English curriculum in public secondary schools in Kakamega North Sub-County, Kenya. The study used descriptive research design. A sample of 44 principals, 88 teachers of English and 345 form three students across the 50 public secondary schools in Kakamega North Sub-County, Kenya, were targeted. A questionnaire, interview schedule, classroom practice observation schedule, and focus group discussion guide were used to collect data. Qualitative data was analyzed thematically whereas quantitative data was presented through tables, percentages and frequencies. Chi-square test was performed to test hypothesis. Response rate was 79.5%. The findings indicated that there were teachers who neither participated in ICT workshops (67.1%) nor attended conferences on choice of teaching and learning materials (47.1%), a gap pointing on teachers. Interviews and FGD results show, teacher level of ICT application skills is crucial if quality results are to be realized. The study found a significant association between teacher level of ICT application skills and implementation of English curriculum in school. The study concluded, teacher level of ICT skills in teaching of English is a major concern. (shrink)

In the ever-changing landscape of education, the integration of Information and Communication Technologies (ICT) has emerged as a transformative force, reshaping traditional teaching methods and enhancing learning experiences. This study delves into the complexities of ICT adoption in Nigerian higher education, focusing on post-secondary technical education programs or National Diploma and Higher National Diploma (ND/HND) awarding institutions. The significance of this study lies in addressing challenges faced by developing nations like Nigeria, where harnessing ICT-driven education could resolve pressing issues (...) in the educational sector. The study identifies multifaceted challenges hindering ICT adoption, such as inadequate funding, lack of infrastructure, and resistance from faculty members. It emphasizes the pivotal role of knowledge sharing in higher education, underlining its significance in fostering continuous learning, collaboration, critical thinking, and innovation. Integrating ICT tools, supported by a robust digital infrastructure and tailored training programs, can mitigate these challenges. The study explores prominent knowledge-sharing models and theories, comprehensively understanding knowledge dissemination within post-secondary technical institutions. It emphasizes collaborative learning environments, ICT integration, and supportive policies as critical factors in enhancing knowledge exchange. The findings underscore the urgent need for policies that empower, technologies that enable, and mindsets that inspire. By addressing these challenges comprehensively, policymakers, educators, and stakeholders can create an educational landscape where every student and educator can thrive in the digital age. The insights from this research guide the evolution of post-secondary technical institutions in Nigeria and offer universal principles for educational institutions worldwide. The vision of a future with equal access to quality education for all is attainable through collaborative efforts and a commitment to embracing the potential of technology in higher education. (shrink)

This study aimed to evaluate the status of newly-hired public school teachers in terms of their TPACK Components and Emergency Remote Teaching (ERT) as indicated in their e-learning readiness, perceived effectiveness, attitude, satisfaction, and anxiety. Quantitative research particularly the correlational research design was employed in this study. Thirty-four(34) purposefully selected newly hired public school teachers were the participants of the study. Results showed that among the TPACK components, those that have technology integration were among the areas where teacher-participants need (...) major improvement. Their ERT Readiness scores showed 55.5% of the teacher-participants scored low in e-Learning Readiness, 55.9% scored moderately in perceived effectiveness, 73.5% were neutral in terms of attitude towards ERT, 58.8% moderately satisfied with ERT implementation, and 61.8% showed no anxiety. Findings showed a moderately positive and significant correlation between perceived effectiveness and attitude (r=.56, p<0.01); satisfaction and readiness (r=.35, p<0.05), satisfaction and perceived effectiveness (r=.34, p<0.05), attitude and anxiety (r=.34, p<0.05), but strongly positive and significant correlation between satisfaction and attitude (r=.69, p<0.01). Moreover, in terms of relationship between TPACK Components and ERT Indicators, a positive and significant correlation were also showed between perceived effectiveness and PK (r=.58, p<0.01), CK(r=.50, p<0.01), PCK(r=.48, p<0.01), and TCK(r=.40, p<0.05); and attitude between PK(r=.47, p<0.01) and PCK(r=.39, p<0.05The overall ERT readiness, where 56% of the teacher-participants scored low, is a product of the availability of ICT infrastructures in public schools, EdTech training, and pedagogical approaches in distance learning. It is recommended that the formulation of DepEd policies and programs are geared towards addressing these issues. (shrink)

In her book Specifications Grading, Linda B. Nilson advocates for a grading regimen she claims will save faculty time, increase student motivation, and improve the quality and rigor of student work. If she is right, there is a strong case for many faculty to adopt some version of the system she recommends. In this paper, we argue that she is mostly right and recommend that faculty move away from traditional grading. We begin by rehearsing the central features of specifications grading (...) and providing two examples of how to implement it in philosophy classes. In light of the examples, we argue that specifications grading fulfills two of Nilson’s central desiderata but not the third. Since specifications grading generates two benefits that when combined increase student learning, without adding or increasing burdens, we conclude that student learning increases when courses are revised to include aspects of specifications grading. (shrink)

In the paper, the current state and trends of the use of AR technologies in the transport industry and in future specialists' vocational training processes have been reviewed and analyzed. The essence and content of the AR technologies relevant to the transport industry have been clarified. The main directions of the AR introduction for the various spheres of the transport industry including design and tuning, mechanical and automotive engineering, marketing and advertising, maintenance and operation, diagnostics and repair of cars have (...) been determined. The AR mobile apps market and the features of the mobile apps with AR have been outlined. The pedagogical terms of effective organizing the students' cognitive activity for transport industry via AR technologies have been determined and researched, namely: to provide each student with the position of an active actor of study and cognitive activity, to switch the study information in a mode of the project activity, the educational content professionalization and to teach students to use the modern ICT purposefully, to manage students' cognitive process by means of ICT. The methodology of using mobile apps with AR in students' vocational preparation process for the transport industry has been presented. It covers the system of educational tasks, updated content of lectures, practical and laboratory classes for specialized disciplines. (shrink)

Meta-learning is learning to learn, which includes the development of capacities to transfer what people learned in one specific domain to other domains. It facilitates finetuning learning parameters and setting priors for effective and optimal learning in novel contexts and situations. Recent advances in research on artificial intelligence have reported meta-learning is essential in improving and optimizing the performance of trained models across different domains. In this paper, I suggest that meta-learning plays fundamental roles (...) in practical wisdom and its cultivation within moral domains. I support my argument with findings from studies in psychology, neuroscience, and computer science. Moreover, I suggested concrete ideas for moral education to foster wisdom cultivation along with meta-learning with evidence from studies across various fields. Particularly, I underscored that exemplars, including role models and mentors, play fundamental roles in education. Finally, I discussed the potential implications of the introduction of the concept, meta-learning, to moral education addressing concerns and issues related to socio-cultural diversity. (shrink)

Perception provides us with access to the external world, but that access is shaped by our own experiential histories. Through perceptual learning, we can enhance our capacities for perceptual discrimination, categorization, and attention to salient properties. We can also encode harmful biases and stereotypes. This article reviews interdisciplinary research on perceptual learning, with an emphasis on the implications for our rational and normative theorizing. Perceptual learning raises the possibility that our inquiries into topics such as (...) epistemic justification, aesthetic criticism, and moral knowledge should include not only an examination of cognition but also of perception. (shrink)

Clinical practice is a part of the integral learning method in nursing education. The use of information and communication technologies (ICT) in clinical learning is highly encouraged among nursing students to support evidence-based nursing and student-centered learning. Through the information-processing lens of the mindsponge theory, this study views performance expectancy (or perceived usefulness) and effort expectancy (or perceived ease of use) as results of subjective benefit and cost judgments determining the students’ ICT using intention for supporting clinical (...) learning, respectively. Therefore, the study examines whether effort expectancy moderates the relationship between performance expectancy and the intention to use ICT among Moroccan nursing students. The Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 702 Moroccan nursing students. We found that nursing students’ performance expectancy is positively associated with the intention to adopt ICT and social media, while effort expectancy positively moderates this relationship. Moreover, the model with effort expectancy as the moderator was discovered to have a significantly larger weight than the model with effort expectancy as the direct predictor, validating our information-processing reasoning. This study provides a new perspective on the interplay between the benefit and cost perceptions of ICT use to support clinical learning methods in nursing education. Moreover, given the limited education resources, especially in developing countries like Morocco, we recommend nursing education and training prioritize communicating the benefits of ICTs and social media over ease of use. Doing so would help improve the effectiveness and efficiency of nursing education and training while lowering costs. (shrink)

Over the past few years we have seen an increasing number of legal proceedings related to inappropriately implemented technology. At the same time career paths have diverged from the foundation of statistics out to Data Scientist, Machine Learning and AI. All of these new branches being fundamentally branches of statistics and mathematics. This has meant that formal training has struggled to keep up with what is required in the plethora of new roles. Mathematics as a taught subject is (...) still based in decades old teaching specifications and has not been updated centrally as a curriculum to include new technologies, coding or ethics. This subject area is firmly split between ICT and Mathematics in secondary school, continuing on to be split between Computer Science and Mathematics at University. As we move forwards with technology we see these once seperate fields becoming increasingly intertwined. We propose that existing provision for concepts such as ethics and societal responsibility in analysis currently exist but have not been incorporated into the mainstream curriculum of School or University. This is partially due to the split between fields in an educational setting but also the speed with which education is able to keep up with Industry and its requirements. Principles and frameworks of socially responsible modelling beginning at school level means that ethics and real-life modelling are introduced much earlier than normal. Integrating these concepts with philosophical principles of society and politics ensures a suitable background for future modellers and users of technology to draw on. Modelling is currently undertaken in technical sciences at University but the Subject Benchmark Statements are not current (Subject Benchmark Statements describe the nature of study and the academic standards expected of graduates in specific subject areas. They show what graduates might reasonably be expected to know, do and understand at the end of their studies). Even in 2019 the UK did not yet have Benchmark Statements that discuss the learning to be done in Higher Education around AI and advanced Machine Learning. Where there is provision for AI and Data Science within degree courses ethics is not generally highlighted as a key concept. As such there can be a lack of focus on the teaching of modelling or ethics as specific skills. The skills required to use a basic statistical model, for example would not be sufficient to start from scratch and build an ethical model reflecting real-world scenarios with which to inform policy or organisational decision making. This is a skill in itself and includes such aspects as awareness of data quality, ethics, user implementation problems, context and an understanding of the environment that the model is being created in. As the field of analytics has progressed so quickly in the last decade modules such as those covering AI have simply been bolted on to Maths or Computing degrees rather than being fully detailed as key areas of study or driving new, more integrated courses of study. This paper posits that gaps at primary, secondary and tertiary educational levels need to be addressed. Implementing and integrating key concepts from school level is essential so that areas such as assumptions, caveats, quality assurance and answering the right questions with constructive challenge become a cultural fixture. This not only helps developers of technology but users of rapidly developing technology also. In addition, leadership and soft skills as part of this education will ensure that a cultural shift can take place and promote continuous improvement in analysis within organisations. The addition of key concepts throughout the educational system and the updating of potentially outdated curriculums is key to ensuring a functional society. A society where every citizen is a user of tech and those that develop it can be ethical and socially responsible in its development. (shrink)

Deep learning algorithms are rapidly changing the way in which audiovisual media can be produced. Synthetic audiovisual media generated with deep learning—often subsumed colloquially under the label “deepfakes”—have a number of impressive characteristics; they are increasingly trivial to produce, and can be indistinguishable from real sounds and images recorded with a sensor. Much attention has been dedicated to ethical concerns raised by this technological development. Here, I focus instead on a set of issues related to the (...) notion of synthetic audiovisual media, its place within a broader taxonomy of audiovisual media, and how deep learning techniques differ from more traditional approaches to media synthesis. After reviewing important etiological features of deep learning pipelines for media manipulation and generation, I argue that “deepfakes” and related synthetic media produced with such pipelines do not merely offer incremental improvements over previous methods, but challenge traditional taxonomical distinctions, and pave the way for genuinely novel kinds of audiovisual media. (shrink)

This study employed an Interpretative Phenomenological Analysis (IPA) which aimed to explore the lived experiences, challenges, and coping mechanisms of teachers in the public school both in elementary and secondary schools in Malolos, Bulacan. The findings of this study revealed that most teachers are significantly challenged with the poor internet connection, multitasking and multitudes of paperwork to be submitted, communication with the parents and teachers and the different modalities of learning which are cited as the contributing factors (...) of stress and anxiety. As to the experiences of the teachers, they became a module writer, online teacher, reporter while doing the online classes and juggling with the work at home as a homemaker. However, the good experiences of this pandemic brought realization to the teachers that they were able to unleash their potential and utilized the skills needed to survive in this difficult time. Moreover, teachers coped up with the situations through prayers, listening and watching motivational videos, yoga and others became farmers too just to avoid stress. Finally, the teachers also gave their suggestions to further help other teachers also who are struggling during this pandemic. Majority of the participants gave emphasis to focus on stabilizing mental health. Others also highlighted the need to seek the assistance of other people who are knowledgeable in terms of ICT. Continuing innovation and researching to update oneself was also one of the suggested ways to deal with the current paradigm shift in education. (shrink)

This study employs machine learning to predict diabetes using a Kaggle dataset with 13 features. Our three-layer model achieves an accuracy of 98.73% and an average error of 0.01%. Feature analysis identifies Age, Gender, Polyuria, Polydipsia, Visual blurring, sudden weight loss, partial paresis, delayed healing, irritability, Muscle stiffness, Alopecia, Genital thrush, Weakness, and Obesity as influential predictors. These findings have clinical significance for early diabetes risk assessment. While our research addresses gaps in the field, further work is needed (...) to enhance model generalizability. (shrink)

Broadening access to both computational and educational resources is crit- ical to diffusing machine learning (ML) innovation. However, today, most ML resources and experts are siloed in a few countries and organizations. In this article, we describe our pedagogical approach to increasing access to applied ML through a massive open online course (MOOC) on Tiny Machine Learning (TinyML). We suggest that TinyML, applied ML on resource-constrained embedded devices, is an attractive means to widen access because TinyML leverages low-cost (...) and globally accessible hardware and encourages the development of complete, self-contained applications, from data collection to deployment. To this end, a collaboration between academia and industry produced a four part MOOC that provides application-oriented instruction on how to develop solutions using TinyML. The series is openly available on the edX MOOC platform, has no prerequisites beyond basic programming, and is designed for global learners from a variety of backgrounds. It introduces real-world applications, ML algorithms, data-set engineering, and the ethi- cal considerations of these technologies through hands-on programming and deployment of TinyML applications in both the cloud and on their own microcontrollers. To facili- tate continued learning, community building, and collaboration beyond the courses, we launched a standalone website, a forum, a chat, and an optional course-project com- petition. We also open-sourced the course materials, hoping they will inspire the next generation of ML practitioners and educators and further broaden access to cutting-edge ML technologies. (shrink)

This study aims to describe the learning motivation of students using virtual media when they are learning mathematics in grade 5. The research design applied in this research is classroom action research. The research is conducted in two phases which involve planning, action and observation and reflection. The results of the study revealed that intrinsic motivation to learn is most prevalent in the form of fun to learn mathematics with virtual media. Other forms of intrinsic motivation include (...) curiosity, need and interests, and satisfaction. Extrinsic motivation in the form of awarded and clarity of learning objectives. The most enjoyable learning experience for students was when they feel like they're learning more than they actually are. This level of enthusiasm increases with the level of learning complexity. The students are more active and motivated to learn. This can be evidenced by the increase in motivation to learn after the first phase. Unfortunately, the lack of bandwidth and time allocated for conducting experiments are some of the obstacles in the way of learning through virtual media. This study revealed that the use of virtual media could improve student's motivation for learning. (shrink)

Accessing reliable and accurate information is essential to the proliferation of information through various channels. This can help individuals make informed decisions and avoid misinformation or disinformation. In such a case, creating an online information system should be prioritized to provide available data and information for planning, budgeting, and allocating resources and operational targets. This study assessed the level of satisfaction with the usability of EBEIS/LIS data and school management by the Department of Education among public secondary schools of (...) the Division of Bohol during 2019-2020. This research employed a quantitative method using the revised perception questionnaire, which underwent pilot testing using Cronbach's coefficient alpha to check the reliability level. Findings revealed that administrators, classroom teachers, and coordinators were satisfied with using data in school management. Findings revealed that administrators, classroom teachers, and coordinators were satisfied with using data in school management, satisfied with the personnel involved in facilitating the data, the information literacy given, and the ICT facilities to be used in online access data. However, some schools need more internet connectivity and more availability of posted/printed manuals and guidelines on accessing the online system. A need arises to provide a streamlined copy of the manual, which can be used as guidelines for online access, and strengthen its support in acquiring internet connectivity for all its learning facilities by partnering with internet service providers to optimize the signal. (shrink)

The ever-evolving ways attacker continues to improve their phishing techniques to bypass existing state-of-the-art phishing detection methods pose a mountain of challenges to researchers in both industry and academia research due to the inability of current approaches to detect complex phishing attack. Thus, current anti-phishing methods remain vulnerable to complex phishing because of the increasingly sophistication tactics adopted by attacker coupled with the rate at which new tactics are being developed to evade detection. In this research, we proposed an (...) adaptable framework that combines Deep learning and Randon Forest to read images, synthesize speech from deep-fake videos, and natural language processing at various predictions layered to significantly increase the performance of machine learning models for phishing attack detection. (shrink)

Technology has the power to break the limitations of traditional passive learning and innovate almost all aspects of everyday life with the power of connecting things of the world to the Internet, “Internet of Things (IoT).” IoT is no longer a phenomenon, but it has become a prevalent system in which people, processes, data, and things connect to the Internet and each other. This paper ‘Enhanced Campus Automation System and the emerging need of IoT integration: an automation perspective’ (...) [eCAS-IoT] is an outcome of case study undertaken at St. Aloysius’ College, Jabalpur, India, wherein the automation challenges are taken into consideration that has been integrated in the existing ERP and related tools such as RFID based attendance and monitoring system in real-time, digital library, API integration and implementation of Optical Network. In this paper we have tried to bring out ideas to achieve the campus automation challenges and awareness of greater need of technical expertise, promotion and training on the effective use of ICT and related devices to make teaching, learning and administration more impacting. (shrink)

This study aimed to unveil the lived experiences of teachers implementing personalized reading strategy. A qualitative design was utilized in this study to fourteen elementary teachers from Nuling Integrated School, Sultan Kudarat. These teachers were selected via purposive sampling who were subjected to Focus Group Discussion. A semi-structured questionnaire was validated and utilized in this study. The interview responses were audio-taped recorded with the consent from the participants. From the generated results, there were 6 emerging themes that described teachers’ (...) challenges in implementing personalized teaching strategy namely, patience in the development of activities, time constraint, alignment to learners’ needs, types of materials and activities, progress monitoring result, and parent-pupil convergence. Meanwhile, teachers coping mechanisms in handling struggling readers were focused on the provision of varied strategies, knowing students learning needs, utilization of Marungko approach, provision of instructional materials, and use ICT and videos. Furthermore, the insights acquired by teachers were diagnosing learners’ needs and interests, preparation consumes more time, and modification of learning activities. (shrink)

Lack of information is hardly our problem. Information comes at us in waves, sloshing out of the magazine rack, lapping at our computer monitors. It repeats and repeats on all-day news shows. It comes neatly packaged as sound bites, or little nuggets ready for trivia games. We have plenty of information, but it is not often the information we need. Even if it is, we need to learn how to deal with it. It is not just the amount, but (...) the speed. Too much happens everywhere that may be important anywhere. Too much comes for us to think it over. (shrink)

It is often thought that traditional recidivism prediction tools used in criminal sentencing, though biased in many ways, can straightforwardly avoid one particularly pernicious type of bias: direct racial discrimination. They can avoid this by excluding race from the list of variables employed to predict recidivism. A similar approach could be taken to the design of newer, machine learning-based (ML) tools for predicting recidivism: information about race could be withheld from the ML tool during its training phase, ensuring that (...) the resulting predictive model does not use race as an explicit predictor. However, if race is correlated with measured recidivism in the training data, the ML tool may ‘learn’ a perfect proxy for race. If such a proxy is found, the exclusion of race would do nothing to weaken the correlation between risk (mis)classifications and race. Is this a problem? We argue that, on some explanations of the wrongness of discrimination, it is. On these explanations, the use of an ML tool that perfectly proxies race would (likely) be more wrong than the use of a traditional tool that imperfectly proxies race. Indeed, on some views, use of a perfect proxy for race is plausibly as wrong as explicit racial profiling. We end by drawing out four implications of our arguments. (shrink)

The COVID-19 pandemic has had a significant impact on the education sector globally, with over one billion students being held out of school as a result of quarantine measures. In response, education systems had to quickly shift to online learning to ensure that students could continue their education. The sudden shift to online learning has resulted in educators having to adapt to the use of technology in education rapidly. The COVID-19 pandemic has highlighted the importance of digital (...) literacy for educators and the need for ongoing training in digital skills. The pandemic has served as an example of emerging, more creative methods of teaching methods, and technology use in education will continue to evolve. Hybrid learning will be critical to delivering realistic educational experiences, and teachers must adapt to become facilitators instead of teachers. The pandemic experience will affect educators’ attitudes towards integrating information and communication technology (ICT) in education, resulting in a rise in the proportion of people who have a favorable opinion of integrating ICT to education. Ongoing training in digital abilities is necessary to gain a viable education. This paper highlights the need for educators to embrace digital literacy and adapt to emerging technologies to provide a quality education in the post-vaccine world. (shrink)

Machine learning algorithms may radically improve our ability to diagnose and treat disease. For moral, legal, and scientific reasons, it is essential that doctors and patients be able to understand and explain the predictions of these models. Scalable, customisable, and ethical solutions can be achieved by working together with relevant stakeholders, including patients, data scientists, and policy makers.

Just as humans can draw conclusions responsibly or irresponsibly, so too can computers. Machine learning systems that have been trained on data sets that include irresponsible judgments are likely to yield irresponsible predictions as outputs. In this paper I focus on a particular kind of inference a computer system might make: identification of the intentions with which a person acted on the basis of photographic evidence. Such inferences are liable to be morally objectionable, because of a way in (...) which they are presumptuous. After elaborating this moral concern, I explore the possibility that carefully procuring the training data for image recognition systems could ensure that the systems avoid the problem. The lesson of this paper extends beyond just the particular case of image recognition systems and the challenge of responsibly identifying a person’s intentions. Reflection on this particular case demonstrates the importance (as well as the difficulty) of evaluating machine learning systems and their training data from the standpoint of moral considerations that are not encompassed by ordinary assessments of predictive accuracy. (shrink)

The study was conducted to explore teachers’ experiences in the delivery of science subjects during the first school year of implementation of distance learning. The teachers’ experiences in the delivery of science subjects served as a reference for formulating innovation to make learning effective in distance learning modality. The data for this study were collected through an interview schedule. It was done through one-on-one in-depth interviews with each participant with the observance of COVID-19 safety protocols. (...) The interviews with all participants were audio-recorded. The data were transcribed verbatim by repeatedly listening to the recorded audio recording. Transcribed verbatim responses were then translated into English. After that, significant statements were determined from all participants’ responses. Lastly, themes and sub-themes were generated from the participants’ significant statements. Based on the result of this study, the following themes have been generated: preparation experiences, adjustment experiences, and unpleasant experiences. Preparations experienced by the participants were professional development, learning resource preparations, and aligning lessons to MELCs. The participants also had adjustment experiences, including content modification and ICT utilization. Also, unpleasant experiences by the participants were an overwhelming workload, complex communication, problems with assessment, and poor student learning. All the teachers’ experiences identified by the Hilongos National Vocational School junior high school teachers serve as the basis for formulating an innovation project. An innovation project for the new normal will address the unpleasant experiences of the teachers. Hence, the innovation project on improving students’ learning for science subjects in a distance learning modality must be utilized to cater to the needs of the school’s clients, the learners. The study concluded that an innovation project on improving students’ learning of science subjects is necessary to equip the Science Teachers of Hilongos National Vocational School with skills to improve the delivery of science subjects in the new normal. It is also recommended to alleviate teachers’ workload, strengthen communications, address problems in assessment, and improve students’ learning. (shrink)

In the natural and social sciences, it is common to use toy models—extremely simple and highly idealized representations—to understand complex phenomena. Some of the simple surrogate models used to understand opaque machine learning (ML) models, such as rule lists and sparse decision trees, bear some resemblance to scientific toy models. They allow non-experts to understand how an opaque ML model works globally via a much simpler model that highlights the most relevant features of the input space and their effect (...) on the output. The obvious difference is that the common target of a toy and a full-scale model in the sciences is some phenomenon in the world, while the target of a surrogate model is another model. This essential difference makes toy surrogate models (TSMs) a new object of study for theories of understanding, one that is not easily accommodated under current analyses. This paper provides an account of what it means to understand an opaque ML model globally with the aid of such simple models. (shrink)

The purpose of this chapter is to outline some of the thinking behind new e-learning technology, including e-portfolios and personal learning environments. Part of this thinking is centered around the theory of connectivism, which asserts that knowledge - and therefore the learning of knowledge - is distributive, that is, not located in any given place (and therefore not 'transferred' or 'transacted' per se) but rather consists of the network of connections formed from experience and interactions with (...) a knowing community. And another part of this thinking is centered around the new, and the newly empowered, learner, the member of the net generation, who is thinking and interacting in new ways. These trends combine to form what is sometimes called 'e-learning 2.0' - an approach to learning that is based on conversation and interaction, on sharing, creation and participation, on learning not as a separate activity, but rather, as embedded in meaningful activities such as games or workflows. (shrink)

The study’s goal was to provide an educational intervention in Algebra through GeoGebra that would boost students’ confidence, improve their learning, and correct their most minor mastered skills, allowing them to improve their Algebra performance. The research design was quasi-experimental, with 40 nonrandomly chosen participants comprising the GeoGebra and control groups. Mean and standard deviation was employed to describe the algebra performance and confidence of the respondents. At the same time, independent and dependent t-tests were used to determine (...) the students’ significant difference in algebra performance and confidence in the pre-and post-test between the control and GeoGebra groups. GeoGebra effectively improved algebra confidence, enhanced learning, and remedied the students’ least mastered skills. GeoGebra is recommended as an instructional material in teaching and learning Algebra and can be extended to other mathematics content areas. (shrink)

Modes of teaching and learning have had to rapidly shift amid the COVID-19 pandemic. As an emergency response, students from Philippine public schools were provided learning modules based on a minimized list of essential learning competencies in Biology. Using a cross-sectional survey method, we investigated students’ perceptions of the Biology self-learning modules (BSLM) that were designed in print and digitized formats according to a constructivist learning approach. Senior high school STEM students from grades 11 (n (...) = 117) and 12 (n = 104) participated in a survey using a 3-point Likert-scale questionnaire uploaded online through Google Forms. The survey results indicate that majority of the students perceived the modules positively, suggesting that aspects of the modules that were salient to students corresponded to essential elements of constructivist pedagogies. However, during interviews, students reported several difficulties in learning with BSLM as it was constrained by, to name a few, the use of unfamiliar words, lack of access to supporting resources, slow internet connection, and time constraints. To address these problems, teachers reported that they gave deadline extensions, complemented modules with other channels of support, and used online and offline platforms for reaching out to students to answer their queries and plan out their schedule for the week. The findings across the data sources point to the complex demands of emergency distance education that teachers, as curriculum designers and enactors, need to bear in mind in order to craft productive pedagogies, constructivist or otherwise, during this unprecedented time. (shrink)

In the contemporary world, there is lot of research going on in creating novel nano materials that are essential for many industries including electronic chips and storage devices in cloud to mention few. At the same time, there is emergence of usage of machine learning (ML) for solving problems in different industries such as manufacturing, physics and chemical engineering. ML has potential to solve many real world problems with its ability to learn in either supervised or unsupervised means. (...) It is inferred from the state of the art that that it is essential to use ML methods for analysing imagery of nano materials so as to ascertain facts further towards characterization and analysis of microstructure and spectral data of materials. Towards this end, in this paper, we proposed a ML based methodology for STEM image analysis and spectral data analysis from STEM image of a nano material. We proposed an algorithm named Machine Learning for STEM Image Analysis (ML-SIA) for analysing STEM image of a nano material. We proposed another algorithm named Machine Learning for STEM Image Spectral Data Analysis (ML-SISDA) for analysing spectral data of STEM image of a nano material. We developed a prototype ML application to implement the algorithms and evaluate the proposed methodology. Experimental results revealed that the ML based approaches are useful for characterization of nano materials. Thus this research helps in taking this forward by triggering further work in the area of material analysis with artificial intelligence. (shrink)

Learner’s attitude towards modular distance learning catches uncertainties as a world crisis occurs up to this point. As self-learning modules (SLMs) become a supplemental means of learning in new normal education, this study investigated efficiency towards the learners’ attitude and performance. Specifically, the study described the learners’ profile and their attitude and performance towards SLMs. It also ascertained the relationship between the learner’s profile with their attitude and performance, as well as the relationship between attitude and (...) performance relevant to SLMs. A descriptive-correlational research design was employed in the study with 88 non-randomly chosen participants from secondary schools in West Philippines. The learners’ GWA (general weighted average) was used to determine their performance and a survey questionnaire for their profile and attitude. Frequency counts, percentage, and Spearman’s rank correlation coefficient were used to analyze the data gathered with the aid of Jamovi software. Results revealed a strong correlation between attitude and performance, but there was no link between learner’s attitude and performance as to the learner’s profile. It was affirmed that attitude is a compelling factor that is related with performance. Hence, this research has broader ramifications that can direct the Bureau of Learning Delivery to orient the module writers to further contextualize the learning materials that can compound learner’s disposition and academic performance. (shrink)

Emotion detection and management have emerged as pivotal areas in humancomputer interaction, offering potential applications in healthcare, entertainment, and customer service. This study explores the use of deep learning (DL) models to enhance emotion recognition accuracy and enable effective emotion regulation mechanisms. By leveraging large datasets of facial expressions, voice tones, and physiological signals, we train deep neural networks to recognize a wide array of emotions with high precision. The proposed system integrates emotion recognition with adaptive management (...) strategies that provide personalized feedback and interventions based on detected emotional states. Our approach surpasses traditional machine learning methods, demonstrating superior performance in real-time applications. (shrink)

Text classification is one of the most important task in natural language processing, In this research, we carried out several experimental research on three (3) of the most popular Text classification NLP classifier in Convolutional Neural Network (CNN), Multinomial Naive Bayes (MNB), and Support Vector Machine (SVN). In the presence of enough training data, Deep Learning CNN work best in all parameters for evaluation with 77% accuracy, followed by SVM with accuracy of 76%, and multinomial Bayes (...) class='Hi'>with least performance of 69% accuracy. CNN has the best performance in the presence of large enough training dataset because of the presence of filter/ kernels which help to indentify patterns in text data regardless of their position in the sentence. We repeated the training again with just one-third of our data, at this point SVM comes with the best performance, the performance of CNN noticeably drops but still better than Multinomial Naive Bayes, the reason why SVM works best when we reduce the training data was because of its ability to look for a hyper-plane that creates a boundary between different classes of data so as to properly classify them, so we believed that getting the hyper-plane was more efficient when we reduce the dataset, hence reason for the good performance. Multinomial Naive Bayes have the least performance which we attributed to its assumption of independency between the features which sometimes does not hold true. We concluded that availability of data should be an important factor when choosing classifier for Natural Language Processing Text Classification task. CNN should be use in the presence of enough dataset, and SVM should be use when data is not enough. Multinomial Naive Bayes must not be trusted with state of the art NLP task due to its assumption of independency between the features . (shrink)