The educational process has been dramatically transformed by technology; this transformation has caused the emergence of central concepts, among which is distance learning. The latter has brought new opportunities to learn from; meanwhile, it has presented challenges that have impacted learning in many ways. Thus, the present study investigated the implementation of E-learning among EFL students at Moulay Ismail University to identify students' perceptions about this type of learning and consider the pros and cons to ensure (...) best practice solutions that endorse online learning quality. The study included 315 students at Moulay Ismail University in Morocco who completed an online questionnaire and used descriptive analysis because the data was presented in simple summaries that aimed to describe the basic features of the data and measures. The findings, both quantitative and qualitative, indicated that e-learning is still in its early stages. At the same time, students are not entirely prepared to supersede traditional learning with distance education due to some reasons, in particular, such as lack of university support in offering resources to learn online, lack of internet connection, malfunction of technological tools, etc. All in all, EFL students prefer blended learning because it allows them to combine a new technological experience with a traditional one. Meaning that e-learning should not be excluded entirely from the educational system, but it can be used only as a support to foster EFL students' academic achievements. (shrink)

The study aimed to identify E- Learning strategies and their relation to the efficiency of research performance in foreign and Palestinian universities (University of Ottawa, Munster, Suez Canal, Al-Azhar, Islamic, Al-Aqsa). The analytical descriptive approach was used for this purpose, and relying on the questionnaire as a main tool for data collection. The study society is from the senior management, where the number of senior management in the universities in question is 206. The random stratified sample was selected and (...) (SPSS) was used for statistical data analysis. The study found a significant relationship between E- Learning strategies and the efficiency of research performance in universities. It also reached the participation of senior management in the research that develops the university performance in the Palestinian universities. The senior management indicated that they do not care to follow the policies of implementing the development of scientific research. While the senior management in foreign universities indicated that they are interested in following up the policies of implementing the development of scientific research. The study also showed that senior management in Palestinian universities does not care about providing the appropriate budget for E- Learning. The study recommended that the senior management of Palestinian universities should provide an E- Learning budget and encourage employees to continue using E- Learning strategies. The administration in the Palestinian universities should adopt and support outstanding research, and the need to encourage interest in the implementation of policies for the development of scientific research. (shrink)

Purpose A mixed-method study was performed to determine the impact of integrating systems thinking (ST) into an electronic learning module for junior high school teachers in the Philippines. The study aims to assess how an ST approach to pedagogy compared against a conventional approach in terms of contribution to the participants’ global climate change content knowledge, holistic thinking and depth and accuracy of knowledge and reasoning. -/- Design/methodology/approach The study implemented e-learning modules using an ST approach versus a (...) conventional approach in teaching climate science to junior high school teachers. The paper presents quantitative data obtained from pre and posttests results of the 20 teacher-participants and qualitative data obtained during the focus-group discussion (FGD) after the implementation of the study. -/- Findings The results from the statistical analysis indicated that the ST group obtained a significant increase in their assessment scores compared to the non-ST group, according to predetermined criteria. Content knowledge, depth and accuracy of knowledge and reasoning increased the most. The participants mentioned during the FGD that the module helped deepen their understanding of climate change. -/- Research limitations/implications The study was limited to 20 teacher-participants, but it has relevance for public school teachers in the country given that participants had raised concerns regarding the lack of training in their schools for teaching climate science. They admitted that they lacked critical information to include in climate change topics in their classes. -/- Originality/value This paper shows how the ST approach can be used to teach climate change to junior high students. The e-learning module can provide teachers with better understanding, knowledge and reasoning to teach climate change to high school students more effectively. (shrink)

Abstract: The use of the technology in the way of teaching and learning in the higher educational institutions sustained a significant position during the pandemic emergency in Pakistan and across the world to continue the educational activities. The extant study investigates the pedagogical challenges in which proposed factors used to discover the intention of the users in the form of their ease of the technological use and assessing the social influence of people regarding the innovative digital adoption in the (...) online learning atmosphere. This research inculcates the antecedents like perceived ease of use (PEOU) social influence (SI), satisfaction (S), and intention to use (ITU) to chart out the perception of the wireless based educational activities during the COVID-19 outbreak in the country and it aims to produce an empirical analysis of the easiness and social influence of users to accept the newly adopted technology and calculating the Web based pedagogical challenges via interpreting the users’ intention. For the data analysis 216 questionnaires have been collected from the teacher and students among three public universities in Sindh and the existing review develops a proposed conceptual framework model to meet the objectives of the study. In the way of the interpretation of data SPSS version 24 was brought in use and the testes of the hypotheses were carried out by means of regression and correlations. The research follows the limitation to meet the quantitative research methodology, teachers’ web based easiness and social feedback to deliver the online teaching and the recommendations urge to discover a research by using different factors. (shrink)

A pineapple is a tropical plant with eatable leafy foods most monetarily critical plant in the family Bromeliaceous. The pineapple is native to South America, where it has been developed for a long time. The acquaintance of the pineapple with Europe in the seventeenth century made it a critical social symbol of extravagance. Since the 1820s, pineapple has been industrially filled in nurseries and numerous tropical manors. Further, it is the third most significant tropical natural product in world creation. In (...) the twentieth century, Hawaii was a prevailing maker of pineapples, particularly for the US, be that as it may, by 2016, Costa Rica, Brazil, and the Philippines represented almost 33% of the world's creation of pineapples. In this paper, machine learning based approach is presented for identifying type pineapple with a dataset that contains 1,311images use 946 images for training, 197 images for validation and 168 images for testing. A deep learning technique that extensively applied to image recognition was used. use 70% from image for training and 30% from image for validation. Our trained model achieved an accuracy of 100% on a heldout test set. (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)

This project is a robust online education platform designed to streamline learning and teaching experiences. It integrates features for course management, user authentication, and interactive learning. Core functionalities include user registration, tutor and student profile management, course search and enrollment, video content streaming, and interactive elements like bookmarks, comments, and likes to enhance user engagement. The backend, powered by PHP, ensures dynamic content delivery, while the frontend employs CSS and JavaScript for a user-friendly interface. The database, structured using (...) SQL, efficiently handles data related to courses, users, and interactions. This platform is scalable and adaptable, making it ideal for educational institutions or independent tutors aiming to offer seamless virtual learning experiences. (shrink)

This study developed and validated E-learning Self-directed Interactive Modules (E-SelfIMo) for Earth Science. The study employed Research and Development method, using the Borg and Gall development procedure, in creating eight e-modules using Kotobee software, evaluating them by experts and students, and determining their effectiveness in terms of students' conceptual understanding. Experts agreed that E-SelfIMo met the DepEd standards for non-printed learning materials, and students attested to their high validity in content, format, and usefulness. Pretest and posttest results for (...) the effectiveness of E-SelfIMo revealed that students exposed to the E-SelfIMo have progressed from “Near Mastery” to “Near Full Mastery” in the chosen Earth Science topics, showing more significant improvement in their conceptual understanding than the control group. This study concludes that E-SelfIMo supports interactive, active, and self-directed learning thereby, improving students’ motivation, engagement, interest, and performance. The E-SelfIMo could be used with technology integration as a teaching and learning tool. -/- . (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.

The study investigated the awareness and utilization of e-learning technologies among vocational and technical education (VTE) students. A descriptive survey research design was used for this study, and the population consisted of 551 VTE students. A simple random sample of 62 VTE students was selected. The data collection instrument was a questionnaire. The reliability of the questionnaire was assessed using Cronbach's alpha analysis, and the reliability index was found to be within the acceptable limit of 0.70. An online survey (...) using Google Forms was used to collect the data. The study tested two null hypotheses using binary logistic regression models based on age, department level of study, and devices owned. The data was analyzed using frequency, percentages, and mean. The major findings from the data analysis indicated that VTE students had an awareness and utilization rate of 84.8% for the e-learning website, 75.6% for Google Classroom, and 60.6% for smart boards and video conferencing. However, 24.4% of the students were still unaware of the Moodle Learning Management System and the Canvas e-learning platform at the University of Nigeria Nsukka. Based on these findings, it is recommended that VTE students receive proper training to effectively utilize the e-learning technologies available to them, which would aid in fostering creativity and innovation. (shrink)

In the cognitive, computational, and neuro-sciences, practitioners often reason about what computational models represent or learn, as well as what algorithm is instantiated. The putative goal of such reasoning is to generalize claims about the model in question, to claims about the mind and brain, and the neurocognitive capacities of those systems. Such inference is often based on a model’s performance on a task, and whether that performance approximates human behavior or brain activity. Here we demonstrate how such argumentation problematizes (...) the relationship between models and their targets; we place emphasis on artificial neural networks (ANNs), though any theory-brain relationship that falls into the same schema of reasoning is at risk. In this paper, we model inferences from ANNs to brains and back within a formal framework — metatheoretical calculus — in order to initiate a dialogue on both how models are broadly understood and used, and on how to best formally characterize them and their functions. To these ends, we express claims from the published record about models’ successes and failures in first-order logic. Our proposed formalization describes the decision-making processes enacted by scientists to adjudicate over theories. We demonstrate that formalizing the argumentation in the literature can uncover potential deep issues about how theory is related to phenomena. We discuss what this means broadly for research in cognitive science, neuroscience, and psychology; what it means for models when they lose the ability to mediate between theory and data in a meaningful way; and what this means for the metatheoretical calculus our fields deploy when performing high-level scientific inference. (shrink)

The concept and the main stakeholders of E-learning ecosystem are investigated at the article. University is regarded as a center of such ecosystem due to skilled knowledge providers and technical equipment availability. Studying different cases authors prove that higher educational institution plays a driver role in different projects, especially social start-up projects. Different models of partnership between universities and other stakeholders are considered. In authors’ opinion, one of the most perspective collaborative projects are in frame of “students – schoolchildren” (...) due to effective knowledge transfer. Such kind of cooperation can fill the gap between school and university education. Particularly the framework of e-learning project in financial literacy for orphans totally prepared and executed by students is considered. The ICT tools are very actively used in these initiatives aiming to develop high demanded skills as critical thinking, creativity and complex problem solving. As a result, schoolchildren are receiving a toolkit for basic data analysis, developing own business plan and adopting evidencebased decisions. The authors prove that E-learning projects are able to improve both information and financial literacy and also increase the level of inclusivity into education of weak and socially unprotected children from orphanages. The article will be useful for the representatives from universities, orphanages, companies who eager to boost the level of their social responsibility. The aim of the research is to reveal different types of cooperation under social projects between higher educational institutions and other stakeholders, using wide range of ICT e-learning tools as well. In addition, to develop a set of recommendations to the universities of collaboration roadmap. (shrink)

The high rate of mathematics education students‟ academic performance in universities has become unbearable. In an attempt to proffer solution to this menace, this study assessed Poll Everywhere eLearning platform, test anxiety, and undergraduates‟ academic performance in Mathematics in Cross River State, Nigeria. The study adopted a quasi-experimental research one control group and one treatment group. The population of this study comprised all the fulltime regular undergraduates offering Education Mathematics in the Department of Science Education, University of Calabar, Calabar, Nigeria. (...) Accidental sampling technique was adopted in selecting a sample of 328 undergraduates who are owners of smartphones from the population. Test-Anxiety Inventory and Mathematics Achievement Test (MAT) were used as data collection instruments. The null hypotheses were tested using independent t-tests and simple linear regression. Findings revealed that Poll Everywhere eLearning platform has a significant effect on students‟ test anxiety and academic performance in Mathematics respectively; there is a moderate negative and significant relationship between students‟ test anxiety and their academic performance in Mathematics. Based on the findings of this study, it was concluded that Poll Everywhere eLearning platform could be used for the effective teaching and examination of learners in Mathematics and other science-related disciplines. This can be done through the design and integration of course modules to the Poll Everywhere online platform. (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)

This paper explores the application of data mining techniques to discover learning patterns in e-learning platforms. With the increasing adoption of e-learning systems, vast amounts of user interaction data are generated, providing valuable insights into student behavior, engagement, and learning outcomes. This research aims to apply various data mining algorithms, including clustering, classification, and association rule mining, to analyze the data collected from e-learning platforms. The primary objective is to uncover hidden patterns related to student (...) activity, learning progression, and performance, which can aid in the development of personalized learning paths and intervention strategies. The results of this study demonstrate that data mining can effectively identify key learning patterns, such as user engagement trends, the impact of content interactions on performance, and predictors of student success and dropout. These findings highlight the potential of data-driven approaches to enhance e-learning systems by providing actionable insights for educators and administrators to optimize learning experiences. The paper concludes by discussing the implications of these findings for improving student retention, performance, and overall educational effectiveness in online learning environments. (shrink)

This chapter explores the personal and professional obstacles faced by Humanities and Social Science scholars contemplating pre-publication of their scholarly work in an on-line network. Borrowing a theoretical framework from the radical educational theorist Ivan Illich, it also develops the idea that pre-publication networks offer higher education a bottom-up, decentralized alternative to business-modeled e-learning. If learners would only embrace this more anarchical medium, appreciating writing for pre-publication as a process of open-ended discovery rather than product delivery, then the prospect (...) of deinstitutionalizing e-learning could become an exciting new reality. The chapter’s methodology is a combination of normative-theoretical analysis and small sample (n=2) case study based on the author’s personal and professional experiences. While the generalizability (or external validity) of the conclusions is limited, the author hopes to motivate further inquiry into the connection between on-line pre-publication and e-learning. (shrink)

Urban resilience is critical for ensuring the sustainability and adaptability of cities in the face of growing challenges such as climate change, population growth, and infrastructure degradation. Predictive analytics, powered by Artificial Intelligence (AI) and the Internet of Things (IoT), offers a transformative approach to enhancing urban resilience. This paper explores how AI-driven predictive analytics can optimize disaster preparedness, infrastructure maintenance, and resource allocation in smart cities. By integrating real-time data from IoT sensors with advanced machine learning models, cities (...) can proactively address vulnerabilities and improve decision-making. This study highlights key applications, challenges, and future directions for leveraging predictive analytics to build resilient urban ecosystems. (shrink)

A qualitative phenomenological approach was used in this study to describe the lived experiences of Tagumpay National High School (TNHS) teachers on Online Learning Action Cell (LAC) session. LAC is a school-based professional development for teachers implemented by the Philippine Department of Education (DepEd). Due to teacher’s lack of participation on classroom LAC, a fully-online mode option is explored by offering TNHS teachers Online LAC session using Facebook as a Learning Management System (LMS). To capture the lived experience (...) of teachers, an in-depth interview with a purposive sample of one TNHS teacher is done in the process. The data gathered went through “Hycner’s Explicitation Process” (1999, in Groenewald, 2004) which includes bracketing, delineating, clustering, summarizing and extracting unique themes. Validity and Credibility were accomplished through an intercoder agreement between researchers, Facebook chat records, bracketing, and member checking. Results identified three themes in relation to teacher’s experience of Online LAC session including usefulness, barriers, and preference. Findings revealed the major role of TNHS teacher’s context on how Online LAC is utilized. Recommendations include administrator and expert teacher working with classroom teachers and the inclusion of teachers’ voices as input in the program design, implementation and evaluation stages of Online LAC to better address curriculum needs and facilitate the delivery of high-quality professional development for teachers’ professional growth. (shrink)

Real-time monitoring systems use surveillance videos to automatically detect motorcycle helmet requirements and triple-riding violations, which protect road safety. Deep learning methods currently show practical worth for addressing surveillance system constraints because they have developed superior capabilities in object detection and classification. The models deliver poor results repeatedly because they are limited by low-resolution video, together with adverse weather conditions, as well as problems from occlusions and deficient illumination conditions. The issue of recognizing multiple individuals riding together on one (...) motorcycle requires better solution methods because it remains unresolved. YOLOv8 operates in real-time to detect both helmet violations and multiple riders on vehicles using CCTV video and webcam feeds. The detection system reaches a 95% accuracy level, thereby establishing itself as an effective monitoring method in automated traffic control. A YOLOv8 detection model serves for detecting triple riders, along with YOLOv8-based detection of helmet violations. The model has tailored detection skills since its training with helmet-specific data enables it to monitor properly non-helmeted riders. The system supplies capabilities for processing video and image data, which helps it create visual violation marks for practical realworld applications. Quality evaluation of the system happens through precision and recall metrics, which measure its reliable operation functions. The method utilizes publicly available data and self-collected information to solve illumination conditions and issues that affect detection systems. The evolution of traffic rule enforcement systems has improved thanks to the resolution of implementation problems. The research application proves how deep learning transforms surveillance systems, which advances road safety through system improvements. Better traffic management possibilities, combined with improved efficiency and innovation, enable wider expansion of safety programs in urban areas. (shrink)

Today e-commerce has had tremendous growth in the past years primarily due to changes in technology and customer’s buying behavior. One of the big shifts in the process has been the use of ML in advertising which has the capability to transform the marketing domain together with consumer interactions. This paper discusses the viability of using machine learning for designing realistic models of advertising to increase effectiveness of target and personalized advertising, as well as conversion rates in e-commerce. Several (...) techniques are explored in the study, such as supervised and unsupervised learning, recommender systems, and content optimization with natural language processing. By using case studies and experimental models, we discuss how and to what extent ML is beneficial in e-commerce advertising transformation. The results presented in this paper indicate that using machine learning in advertising has a potential of dramatically improving the customer experience while simultaneously increasing brand recognition and sales. (shrink)

This study aimed to determine the experiences of male and female students on Flexible Learning (FL) during the COVID-19. A qualitative method using a phenomenological approach was used to ascertain the students' experiences, while written questionnaires were utilized to gather the information. The 24 students taking Development Communication and Public Administration were chosen based on set criteria. Both male and female flexible learning participants appreciated its benefits, including convenience and reduced academic stress. They both faced technology-related challenges and (...) suggested improvements. However, differences emerged in their experiences. Males found FL fun, emphasizing family time, while females highlighted skill development and concerns about teaching methods. Females also mentioned practical skill development not emphasized by males. These variations may stem from differing learning preferences and experiences. Variations in male and female experiences in Flexible Learning highlight the need for teachers to tailor instruction, offer mental health support, and incorporate skill development. Improved teacher training and clear guidelines are crucial, as are gender-inclusive program design and regular feedback mechanisms to create equitable and effective educational experiences. (shrink)

Education is a developmental process that may be improved by using a range of strategies to develop engaging classes. It stands for the educators' personal philosophy and utmost aspiration. This study aimed to assess and identify the strategies, methods, and trends of teaching-learning on students’ perspectives and their effectiveness in the new normal of education. The study employed the descriptive approach with a quantitative research design in analyzing the strategies, methods, and trends of teaching-learning. The participants of the (...) study are the professional teachers in the selected 2 public schools in the Agusan del Sur division under the San Luis District, particularly at San Luis National High School and San Mariano Elementary School. Based on the findings, it was gleaned from the findings, it was definitely concluded that the overall weighted mean value was 4.08 with a descriptive level of observation and interpretation of very satisfied based on the results. Additionally, it was revealed that the z-computed value in the result obtained with 105.329 is greater than the z-critical value of 1.87, which definitely resulted in the rejection of the hypothesis of the study. Thus, there is a statistically significant difference in the strategies, methods, and trends of teaching in the new normal learning perspective as observed by the participants of the study. Therefore, the strategies, methods, and trends in teaching shows to lay the foundation of why and how to conduct the class and helps set expectations by the students at school, also creating a shared class culture where students take more responsibility and understanding for their class participation. (shrink)

As schools publicly modernize in response to societal changes, additional teaching and learning methods are developed, observed, and used since learners have different learning styles that make it easier for them to grasp and retain the material. During the COVID-19 pandemic, teachers require different media to keep the classroom involved while presenting the lesson materials online, one of which is video tutorials. The purpose of this study was to analyze the extent of contextual effects of video tutorials used (...) in general chemistry, determine the relationship between video tutorial effectiveness and the respondents' academic performance, and analyze the significant difference between the four indicators of contextual effects of video tutorials and the respondents' profile. A descriptive-correlational quantitative research design was used in this study. The participants in this study were 144 Grade 12 STEM students from a private school in Sultan Kudarat, Philippines, who took their general chemistry course during the pandemic. The respondents were given a survey questionnaire created with Google Forms. The students agreed with all the assertions and rated them as effective in terms of their perceptions of general chemistry, implying that video tutorials are useful in teaching the subject. With p-values of .023, .046, and .010, respectively, the findings revealed a significant relationship between the overall mean of students' perceptions of the subject of General Chemistry, the concept and application of chemical knowledge and understanding, and their influence on students' academic performance. In terms of their perception, ideas, and application of chemical knowledge and comprehension, the results demonstrated that there is no statistically significant difference between the general mean of male and female students' responses. This basically means that by using video lectures, STEM students of all genders appreciate and understand General Chemistry as a subject. -/- . (shrink)

The study investigates the Bachelor of Science in Exercise and Sports Science (BSESS) program curriculum within Region III, specifically studying its alignment with the Commission on Higher Education Memorandum Order (CMO) No. 81, series of 2017, to distinguish potential curriculum and policy developments that backing life-wide learning and student employability. The research identifies existing gaps in career alignment, stakeholder engagement, graduate employability preparation, and policies supporting lifelong learning within the curriculum. Through multiple case study design, it explores curricular (...) practices, instructional strategies, student engagement, and assessment methods at two state universities, emphasizing their unique approaches to practical learning, community involvement, and stakeholder collaboration. Findings reveal significant areas such as institutional support, curricular planning, and stakeholder engagement, underscoring variations in each institution’s strategies to address community needs, facilitate student-centered learning, and prepare graduates for the sports and fitness industry. The two institutions demonstrate strong commitment to curriculum implementation through initiatives like experiential learning and community engagement, although with distinct approaches influenced by local demands. Challenges highlighted include infrastructure limitations, stakeholder involvement irregularities, and the need for enhanced policy support. Future directions for the BSESS program involve expanding student engagement through global internships, certification programs, and partnerships with local government units (LGUs) to foster community-based health initiatives, while ongoing curriculum reviews ensure alignment with industry demands and societal needs. (shrink)

The researcher was prompted to conduct this study to give intervention of the alarming situation which there is a low performance in solving problems related to geometry in Grade IV Mathematics. This study was about on how to enhance the mathematical competencies of the grade IV pupils using a downloaded worksheets as a learning activity. This study focused in giving remediation applying the intervention materials. These resources give several approaches to attain mastery using distinct drill cards. The investigation was (...) carried out utilizing quasi-experimental design. During administering the pre-test and post-test, the researcher used the weighted mean and t-test to determine the mean percentage scores of the respondents. The respondents were 56 fourth grade learners enrolled in Marangog Elementary School and Tagnate Elementary School in Hilongos East District for the school year 2019 – 2020. At the end of the study, it was found out the use of downloaded math worksheets were found effective means of improving the mastery level. In addition, based on the results gathered, the downloaded math worksheets which were used in the drills or practice greatly contributed to the elimination of non-numerates, and give significantly increasing the number of pupils who mastered the competencies related to geometry. As a result, a proposed innovative teaching strategy is recommended. -/- . (shrink)

We argue that the trend toward providing users with feasible and actionable explanations of AI decisions—known as recourse explanations—comes with ethical downsides. Specifically, we argue that recourse explanations face several conceptual pitfalls and can lead to problematic explanation hacking, which undermines their ethical status. As an alternative, we advocate that explanations of AI decisions should aim at understanding.

This paper proposes an intelligent control model utilizing deep learning techniques to enhance the efficiency of renewable energy systems, specifically focusing on a hybrid solar and wind energy system. The model aims to address challenges related to energy production fluctuations due to weather conditions, ultimately reducing energy losses. Performance evaluations will compare this algorithm with existing systems to demonstrate its effectiveness.

This quantitative study explores the acceptability of Online Learning Action Cell (LAC) practice as a school-based professional development strategy for Tagumpay National High School (TNHS) teachers. The research was motivated by the Department of Education (DepEd) Order No. 35 s. 2016 which prompts public schools to comply with the implementation of LAC sessions because it has a positive impact on teachers’ beliefs and practices resulting in education reforms for learners’ benefit. However, in compliance with DepEd’s policy on maximizing Time-On-Task (...) (DepEd Order No. 9 s. 2005) and the teacher’s conflict of schedule and other ancillary and coordination functions, absences or non-participation in classroom LAC was noted. The viability of offering Online LAC sessions using appropriate media and technologies to provide more options and flexibility for the study is suggested and tested utilizing a conceptual framework drawn from DepEd Order No. 35 s. 2016, Simonson’s Equivalency Theory and Anderson’s Community of Inquiry (COI). A descriptive survey method was used in this study with purposive sampling identifying ten Technology and Livelihood Education (TLE) teachers to pilot the Online LAC based on the memorandum issued by the school head. The subjects went through a week of experience in a LAC session using Facebook (FB) as Learning Management System (LMS) while a researcher-designed survey tool in the form of a Likert-type scale questionnaire was administered via Google forms before and after the online session to measure teacher’s acceptability of Online LAC Session practice. In the analysis, a descriptive statistic shows that pre-post survey results on Online LAC session planning is from ‘moderately acceptable’ to ‘very highly acceptable’; implementation is from ‘acceptable’ to ‘very highly acceptable’, and evaluation is from ‘moderately acceptable’ to ‘very highly acceptable’. TNHS teachers' acceptability of Online LAC session practice increases after their participation in a fully-online learning environment. Limitations, recommendations, future research directions, and conclusions are also included in the study. -/- . (shrink)

Plant diseases pose a severe threat to global agriculture, causing up to 40% annual crop losses due to delayed and inaccurate diagnostics. The AI Plant Doctor: Leaf Disease Scanner is an innovative Android-based solution that transforms plant health management using Artificial Intelligence. By integrating Convolutional Neural Networks (CNNs) for precise disease classification, TensorFlow Lite for efficient on-device processing, and OpenCV for robust image preprocessing, the system delivers real-time diagnostics with 92% accuracy. Hosted on a user-friendly Streamlit interface, it offers offline (...) functionality, cloud-based scalability, and seamless access to curated treatment resources via Google API. This platform empowers farmers to detect diseases swiftly and adopt sustainable practices, significantly enhancing crop yields and food security. (shrink)

Testing is one of the core educational assessment practices in higher education for performance appraisal, placement and decision-making. Testing in education is also used to assess students’ level of understanding, knowledge and skills possessed after completing a course or a programme. Based on significant importance, it is very glaring that different higher institutions of learning and beyond are using this valuable tool for grading students’ performance. It.

Learn the business language you need to feel confident in taking the first steps toward becoming successful business majors and successful business people with Boone and Kurtz's best-selling CONTEMPORARY BUSINESS and its accompanying Audio CD-ROM. You'll find all the most important introductory business topics, using the most current and interesting examples happening right now in the business world! With this textbook, you'll hone skills that will make you more successful as students and employees.

The results are interpreted in terms of a deficit in initial rule learning and subsequent generalization of these rules to new stimuli. Negative feedback is adequately processed at a neural level but this information is not used to improve behaviour on subsequent trials. As learning is degraded, the process of error detection at the moment of the actual response is diminished. Therefore, the current study demonstrates that disturbed error-monitoring processes play a central role in the often reported (...) class='Hi'>learning deficits in individuals with PP. (shrink)

Smart Traffic Analysis, Monitoring, and Density Estimation System Using YOLOv8 and DeepSORT, aims to provide an efficient and real-time solution for vehicle detection, tracking, and speed estimation in traffic surveillance. The system leverages YOLOv8 (You Only Look Once version 8) for high-precision object detection and integrates DeepSORT (Simple Online and Realtime Tracker with a Deep Association Metric) for multi-object tracking, ensuring accurate identification and movement tracking of vehicles across video frames. The YOLOv8 model is trained on large-scale datasets for object (...) detection and efficiently identifies vehicles in real-time. The detected bounding boxes, confidence scores, and class labels are then passed to the DeepSORT tracking algorithm, which assigns a unique ID to each detected object and maintains its trajectory across frames. DeepSORT employs an advanced Kalman filter for motion prediction and a deep appearance descriptor to ensure robust re-identification even in complex traffic conditions. Additionally, the system integrates speed estimation by tracking the movement of each vehicle across frames, calculating the pixel displacement over time, and converting it into an approximate speed (km/h). This enables real-time monitoring of traffic flow and assists in identifying potential rule violations, such as over speeding. The system processes video streams efficiently using OpenCV, NumPy, and PyTorch, making it suitable for both offline video analysis and live surveillance feeds. The output video includes annotated bounding boxes, unique tracking IDs, and estimated vehicle speeds. This solution is highly scalable and can be deployed for traffic density estimation, congestion monitoring, and automated traffic law enforcement. By combining deep learning-based detection with robust tracking and speed estimation, this project offers a faultless, real-time, and automated approach to traffic analysis, helping urban planners and law enforcement agencies manage road safety effectively. (shrink)

Context — Children and adults with psychopathic traits and conduct or oppositional defiant disorder demonstrate poor decision making and are impaired in reversal learning. However, the neural basis of this impairment has not previously been investigated. Furthermore, despite high comorbidity of psychopathic traits and attention deficit/hyperactivity disorder, to our knowledge, no research has attempted to distinguish neural correlates of childhood psychopathic traits and attention-deficit/hyperactivity disorder. Objective—To determine the neural regions that underlie the reversal learning impairments in children with (...) psychopathic traits plus conduct or oppositional defiant disorder. Design — Case-control study. Setting — Government clinical research institute. Participants — Forty-two adolescents aged 10 to 17 years: 14 with psychopathic traits and oppositional defiant disorder or conduct disorder, 14 with attention-deficit/hyperactivity disorder only, and 14 healthy controls. Main Outcome Measure — Blood oxygenation level–dependent signal as measured via functional magnetic resonance imaging during a probabilistic reversal task. Results — Children with psychopathic traits showed abnormal responses within the ventromedial prefrontal cortex (Brodmann area 10) during punished reversal errors compared with children wit hattention deficit/hyperactivity disorder and healthy children (P < .05 corrected for multiple comparisons). Conclusions — To our knowledge, this study provides the first evidence of abnormal ventromedial prefrontal cortex responsiveness in children with psychopathic traits and demonstrates this dysfunction was not attributable to comorbid attention-deficit/hyperactivity disorder. These findings suggest that reversal learning impairments in patients with developmental psychopathic traits relate to abnormal processing of reinforcement information. (shrink)

This study aims to find out the factors that hinder students in learning Integrated Art Education. A descriptive research design was utilized in the conduct of the study. The researcher prepared a questionnaire with 15 closed-ended- questions that could be answered objectively. The study discovered that the students would learn more when they feel that they belong to a certain group. Interests in a subject also matter, the more you are interested in a particular subject, the more you will (...) learn the material. Parent support marks an impact on the student's interest in learning Arts. Therefore, personal interest in a subject must be given attention and managed properly. Parent's support also plays a vital role in reinforcing the students on what to pursue in order to maintain their motivation. (shrink)

This Open Access book explains the philosophy, design principles, and community organization of Decidim and provides essential insights into how the platform works. Decidim is the world leading digital infrastructure for participatory democracy, built entirely and collaboratively as free software, and used by more than 500 institutions with over three million users worldwide. -/- The platform allows any organization (government, association, university, NGO, neighbourhood, or cooperative) to support multitudinous processes of participatory democracy. In a context dominated by corporate-owned digital platforms, (...) in the era of increasing social structuring via Artificial Intelligence, Decidim stands as a public or community owned platform for collective human intelligence. Yet, the project is much more than its technological features. Decidim is in itself a crossroad of the various dimensions of the networked society, a detailed practical map of its complexities and conflicts. Theauthors distinguish three general dimensions of the project: (1) the political - shedding light on the democratic model that Decidim promotes and its impact on public policies and organizations, (2) the technopolitical - explaining how this technology is democratically designed and managed to produce and protect certain political effects, and (3) the technical - presenting the conditions of production, operation, and success of the project. This book systematically covers those three levels in an academically sound, technologically consistent, and politically innovative manner. Serving as a useful resource and handbook for the use of Decidim, it will not only appeal to students and scholars interested in participatory and digital democracy but also to professionals, policy-makers, and a wider audience interested in learning more about the Decidim platform. (shrink)

Husserl’s theory of passive experience first came to systematic and detailed expression in the lectures on passive synthesis from the early 1920s, where he discusses pure passivity under the rubric of affection and association. In this paper I suggest that this familiar theory of passive experience is a first approximation leaving important questions unanswered. Focusing primarily on affection, I will show that Husserl did not simply leave his theory untouched. In later manuscripts he significantly reworks the theory of affection in (...) terms of instinctive intentionality and a passive experience of desire aimed at satisfaction and enjoyment. This paper will show that the theory of affection and the theory of instincts in Husserl are really one and the same, differing only in the superior theoretical apparatus with which Husserl treats the phenomenon in his more considered theory of the instincts. I demonstrate the connection between the two theories by showing how what he generically calls “affection” in earlier texts is the same phenomenon he calls “curiosity” in later texts. The connection is further supported by the way curiosity does the same work as affection in its function within Husserl’s theory of association, serving as the basic connective tissue linking diverse experiences. In closing, I deal with the problem of how to integrate the experience of the body into the theory of instincts, displaying in another way how Husserl improves his theory of affection by making it more concrete when he recasts it as a theory of instincts. (shrink)

The history of philosophy is replete with attempts at invoking rationality as a means of directing and even subduing human desire and emotion. Understood as that which moves human beings to action, desire and emotion come to be associated with human freedom and rationality as a means of curbing that freedom. Plato, for instance, takes for granted a separation between thought and action that drives a wedge between our rational ability to exercise self-discipline and the free expression of desire and (...) emotion. Hobbes, on the other hand, replaces our internal ability for rational self-control with the external authority of the political State. So long as freedom and control are pitted against one another, human beings are incapable of attaining a symbiosis of these two elements of human action so essential to realizing true democracy. Unlike Plato, John Dewey sees in democracy the greatest potential for individual and social life. The purpose of this dissertation is to demonstrate how the educational philosophy of Dewey, which culminates in an educational aesthetic, appeals to and makes the most of the symbiosis of freedom and self-control, emotion and reason. Dewey’s educational aesthetic not only offers an alternative to traditional methods of education, but also demonstrates how the goal of a democratic way of life is made feasible by means of intelligently guided self-discipline—a form of self-control guided by intelligence that is not a constraint upon freedom, but instead embodies greater opportunity for freedom. I trace the basis for this synthesis, in the social-political and pedagogical principles of John Locke and Jean-Jacques Rousseau. Both Locke and Rousseau offer educational theories that begin turning our attention toward the essential partnership required of rationality and emotion. Dewey's educational aesthetic is then considered as a response to alienating forms of education that continue to pit control and freedom against one another, and which thwart the intellectual and emotional development necessary for autonomy and democratic forms of social organization. (shrink)

A growing body of research suggests that students achieve learning outcomes at higher rates when instructors use active-learning methods rather than standard modes of instruction. To investigate how one such method might be used to teach philosophy, we observed two classes that employed Reacting to the Past, an educational role-immersion game. We chose to investigate Reacting because role-immersion games are considered a particularly effective active-learning strategy. Professors who have used Reacting to teach history, interdisciplinary humanities, and political (...) theory agree that it engages students and teaches general skills like collaboration and communication. We investigated whether it can be effective for teaching philosophical content and skills like analyzing, evaluating, crafting, and communicating arguments in addition to bringing the more general benefits of active learning to philosophy classrooms. Overall, we find Reacting to be a useful tool for achieving these ends. While we do not argue that Reacting is uniquely useful for teaching philosophy, we conclude that it is worthy of consideration by philosophers interested in creative active-learning strategies, especially given that it offers a prepackaged set of flexible, user-friendly tools for motivating and engaging students. (shrink)

The study's general objective is to determine the students' stance on the most appropriate model of writing skills, using Structural Equation Modeling (SEM) as a basic design in the relationship of self-regulated learning strategies, communicative learning strategies, learning grammatical strategies, and writing skills. This study used a mixed-method sequential explanatory design, in which quantitative design is more widely used than qualitative Creswell, J., & Creswell, D. (2017). The researcher used the stratified random sampling technique for selecting respondents (...) and, by using the Raosoft sample size calculator, identified 390 respondents using a four-part questionnaire to collect data. Purposive sampling is the method for determining participants in a qualitative design using a guided questionnaire to obtain data from In-Depth Interviews and Focus Group Discussions. Model 5 was the best-fitting model for writing skills, showing significant correlations with the exogenous variables: self-regulated learning strategies, communicative learning strategies, learning grammatical strategies, and writing skills as endogenous variables. Both the exogenous and endogenous variables obtained a high level of overall description, meaning that students often practiced strategies to cultivate writing skills. The participants' stance on the most appropriate model is essential for tertiary students to have different strategies for developing writing skills. It is necessary to reach the full description of the highest level by using different strategies to build writing skills. (shrink)

Quarantines and virtual learning became necessary as a result of the COVID-19 pandemic. This study investigates the challenges and opportunities in virtual classes; and how they affect the academic goals. There were 150 secondary students from Junior and Senior High School levels of education in the Philippines, who were deliberately selected; and they participated in the quantitative online survey that used a 62-item self-made 4-point Likert scale questionnaire, with 0.81 reliability coefficients. The data were evaluated by means of the (...) percentage, the mean, and the standard deviation. Sex and secondary education levels were used, in order to compare the students’ challenges and opportunities. One-way ANOVA compared the male and female respondents’ perceived challenges and opportunities. The results revealed that junior high-school (JHS) girls highlighted academic satisfaction; while school-life balance, and virtual learning helped as challenges and opportunities. The females found school-life balance, communication (F(1,149)=11.098; F(1,149)=8.430, p<0.01), academic fulfilment, self-directedness, and time-management (F(1,149)=4.224; F(1,149)=4.470; F(1,149)=4.030, p<0.05) more difficult than did the males. Senior high school (SHS) students were less satisfied with the virtual teaching (F(1,149)=14.391, p<0.001), technology use (F(1,149)=7.342, p<0.01), and communication (F(1,149)=3.934, p<0.05) than JHS students. Males were more satisfied with school and teachers’ assistance (F(1,149)=7.482, p<0.01). Some viewed virtual learning more favourably; and they regard themselves as being adaptive; they think the subject matter and learning tasks are interrelated; and they viewed virtual feedback more positively (F(1,149)=6.438; F(1,149)=5.900; F(1,149)=5.183; F(1,149)=4.470, p<0.05). The JHS students reported subject matter and the virtual learning tasks as being interrelated; and they valued virtual feedback, school and teacher support, and the adaptability to change. Challenges and opportunities may serve as the foundation for establishing a more inclusive policy on virtual learning implementation, with school and stakeholders’ cooperation needed to sustain learners’ holistic development. (shrink)

This project addresses the critical issue of traffic safety and law enforcement, specifically focusing on noncompliance with helmet laws by motorcyclists, a leading cause of fatalities in road accidents. Traditional methods of enforcing helmet laws are often ineffective due to the challenge of ensuring immediate detection and action. To solve this, we propose an automated traffic management system that integrates artificial intelligence (AI) with real-time surveillance and data monitoring to improve road safety. The core of the proposed system utilizes YOLOv11 (...) (You Only Look Once), a state-of-the-art object detection algorithm, for both helmet detection and license plate recognition. The system is designed to automatically identify motorcyclists riding without helmets and capture the vehicle's license plate. Once a violation is detected, the system sends an instant notification containing the license plate information to the traffic control officer’s email, enabling immediate enforcement actions. This automated approach significantly enhances the efficiency and speed of traffic law enforcement, while ensuring high accuracy through advanced deep learning techniques. With real-time image processing capabilities, the system can operate effectively in dynamic traffic conditions, ensuring prompt action and promoting compliance with traffic safety laws. (shrink)

Papaya is a tropical fruit with a green cover, yellow pulp, and a taste between mango and cantaloupe, having commercial importance because of its high nutritive and medicinal value. The process of sorting papaya fruit based on maturely is one of the processes that greatly determine the mature of papaya fruit that will be sold to consumers. The manual grading of papaya fruit based on human visual perception is time-consuming and destructive. The objective of this paper is to the status (...) classification of papaya fruits if it's mature or partially matured or unmatured. A deep learning technique that was extensively applied to image recognition was used. The trained model achieved an accuracy of 100% on a held-out test set, demonstrating the feasibility of this approach. Classification model of VGG16 achieved a 100% accuracy and 112 seconds of training time. (shrink)

For many years I have maintained that I learned to philosophize by translating Francisco Suárez’s Metaphysical Disputation V from Latin into English. This surely is a claim that must sound extraordinary to the members of this audience or even to most twentieth century philosophers. Who reads Suárez these days? And what could I learn from a sixteenth century scholastic writer that would help me in the twentieth century? I would certainly be surprised if one were to find any references to (...) some of Suárez’s works in any of the works of twentieth-century major philosophers. One of the reasons for my claim is the great difficulty I had in figuring out what Suárez’s text means and how to render it understandable to English readers. Translating the text forced me to think in ways that were quite different from those I was used to think in Spanish, my native tongue, or English, my adoptive tongue. In fact, the translation I produced after having completed many drafts continued, and still continues to this day, to appear to me unsatisfactory, and that dissatisfaction was the key to understanding things I had understood very differently before. I hope to make clear why in what follows. The thesis that I defend is that semantic equivalence between texts of philosophy in different languages is difficult, if not impossible in some cases, to achieve and, therefore, that it is a mistake to restrict doing analytic philosophy to English, as Gustavo Rodríguez-Pereyra argues we should do in a recent article (2013). (shrink)

Student evaluations of teaching (SETs) have been used, researched, and debated for many decades. It is a common practice in higher education institutions, with the supposed purpose of improving course quality and effectiveness, but with unintended consequences of encouraging and motivating poor teaching and causing grade inflation. There is strong evidence that SET “effectiveness” does not measure teaching effectiveness. This paper reviews empirical research examining common concerns about the usefulness (positive and negative) and accuracy of SETs. The findings reveal that (...) student satisfaction relates to their anticipated/expected grades in their courses; hence, they want to get good grades and their instructors want to get a good rating of SET, and this results in grade inflation. The key points are that SETs (1) allow students to speak their “mind”, (2) have no compelling correlation between quality of teaching and learning effectiveness, (3) reward easy, less demanding, and lazy teachers with a positive rating, (4) are biased against gender, attractiveness, ethnicity, race, etc., (5) are weaponized against “some” faculty members, and (6) are like asking convicts awaiting sentencing to evaluate the judge or jurors who convicted them. (shrink)

This three-part paper presents Gordon Pask’s conversation theory (CT) and interaction of actors theory (IA) and outlines ways to apply these cybernetic approaches to designing technologies and scenarios for both formal and informal learning. The first part of the paper covers concepts central to CT and IA, explaining the relationship between conceptual and mechanical operators, and machines mediating informal and formal learning. The second part of the paper applies visual representations of CT and IA to understanding the use (...) of Pask’s course assembly systems (CASTE and THOUGHTSTICKER), created between the late 1960s and the 1980s, and the ThoughtShuffler search interface, created in the 2010s. The third part proposes two pathways for design based on CT and IA: firstly, the potential for designers and observers to reformulate the qualities of tools and learning scenarios to augment human thinking and collective action; and secondly, the possibility to create tools with malleable interfaces that allow users to become intermediaries rather than consumers of knowledge. (shrink)

Academics do not only teach but they also research. Research cannot be up-taken unless there is a means of dissemination. One of the ways of research report dissemination is the conference. The academic conference is an opportunity for scholars to assemble and engage in conversations that aim at improving the practice of teaching and learning. It provides a forum for the sharing of ideas and experiences that enhance education and, by extension, human life. One of the challenges that academics (...) face is rarely what to present at conferences, but how to present for impact. This paper justifies conference attendance and proposes strategies for the reengineering of conference presentations for national development. (shrink)

The Learning Management System (LMS) Portal is a comprehensive web-based platform designed to facilitate educational institutions in managing and delivering digital learning content. It allows administrators to manage courses, instructors to upload learning materials and assignments, and students to access resources, submit work, and track their progress. The portal simplifies communication between students and educators and supports remote learning environments. With user-friendly interfaces and real-time interaction features, it bridges the gap between traditional classrooms and modern e- (...) class='Hi'>learning practices. (shrink)

The Centre for Society and Genomics (CSG) was established in 2004, funded by NGI (the Netherlands Genomics Initiative). Funding was continued in 2008. This report summarises the basic outcomes of almost a decade of interactive societal research, in close collaboration with the other centres of the NGI network. There are two reasons for presenting these results. First of all, at the end of this year, the CSG Next programme (2008-2013), encompassing more than 50 research projects conducted at 10 Dutch universities, (...) will be completed. Moreover, we are currently preparing ourselves for the years to come. The network of principal investigators, together with the research communities they represent and the societal and international networks they are involved in, have agreed to continue to work together, on the basis of mutual learning, transdisciplinary collaboration and collegial support. Notably, we offer our networks, experiences and expertise to help prepare the ground for promoting Responsible Research and Innovation (RRI) in the context of Horizon2020, together with our European colleagues. This report summarises what our type of research can achieve and how we want to continue our activities in the future. After a concise sketch of the life sciences landscape as it has evolved during the past seven decades or so, we explain how CSG came about and what kind of approach we have developed. Subsequently, we list our main results, notably in the form of project vignettes, so as to make the harvest of the CSG Next programme as tangible and concrete as possible. Finally, we explain how we see our role in the future. As is already indicated by the title: this is not merely a retrospective summary of our results (CSG harvest), but an invitation to readers (from academia, industry, policy and civil society) to reassemble and to optimally prepare ourselves for things to come, by strengthening and broadening our collaborative efforts, building on what we have achieved so far. (shrink)

Abstract: Early detection of breast cancer is vital for improving patient outcomes and reducing mortality rates. Technological advancements have significantly enhanced the accuracy and efficiency of screening methods. This paper explores recent innovations in early detection, focusing on the evolution of digital mammography, the benefits of 3D mammography (tomosynthesis), and the application of advanced imaging techniques such as molecular imaging and MRI. It also examines the role of artificial intelligence (AI) in diagnostic tools, showing how machine learning algorithms are (...) improving imaging analysis and reducing diagnostic errors. Furthermore, the paper discusses advancements in genetic screening, liquid biopsies, and biomarkers, emphasizing their potential in identifying high-risk individuals and supporting personalized treatment plans. The paper provides a forward-looking perspective on the future of breast cancer detection, addressing both the opportunities and challenges associated with the adoption of these cutting-edge technologies to improve patient outcomes. (shrink)