Results for 'Problem based learning'

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  1. Is Problem-Based Learning Superior to Direct Instruction.Brent Silby - 2013 - Journal of Education.
    In this essay I argue that theorists such as Kohn and Mitra have been too hasty in pronouncing the superiority of problem-based learning over direct instruction.
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    From Being Amotivated to Motivated: Evidence of the Efficacy of Problem-Based Learning in Practical Skills Training.Chibueze Tobias Orji, Juliet Perumal & Emmanuel Ojo - 2024 - International Journal of Home Economics, Hospitality and Allied Research 3 (1):162-172.
    The investigation of the degree of amotivation and subsequent intervention towards the motivation of undergraduate vocational and technical education (VTE) students has not received the same amount of attention as other disciplines. Despite the negative impact of a lack of volitional drive on students' practical skills learning, there is scarcity of literature on amotivation among VTE undergraduate students. This study aimed to demonstrate the effectiveness of problem-based learning (PBL) in transitioning undergraduate students from a state of (...)
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  3. Effectiveness of Problem-Based Learning on Secondary Students’ Achievement in Science: A Meta-Analysis.Aaron Funa & Maricar Prudente - 2021 - International Journal of Instruction 14 (4):69-84.
    Preparing students for the real challenges in life is one of the most important goals in education. Constructivism is an approach that uses real-life experiences to construct knowledge. Problem-Based Learning (PBL), for almost five decades now, has been the most innovative constructivist pedagogy used worldwide. However, with the rising popularity, there is a need to revisit empirical studies regarding PBL to serve as a guide and basis for designing new studies, making institutional policies, and evaluating educational curricula. (...)
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  4. Developing Engineering Students’ Moral Reasoning Skills Using Problem-Based Learning.Mara Harrell - 2019 - American Association of Philosophy Teachers Studies in Pedagogy 5:123-143.
    Problem-Based Learning has become an increasingly popular instructional method for a variety of disciplines at all levels. Many studies and meta-analyses of these studies have shown the efficacy of this method for developing knowledge and skills. I adopted this method for teaching Engineering Ethics at Carnegie Mellon University, which has as its main course objectives the development of moral reasoning skills, as well as collaboration and communication skills, with special attention given to ethical dilemmas that may arise (...)
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  5. Developing Engineering Students’ Moral Reasoning Skills Using Problem-Based Learning.Maralee Harrell - 2019 - American Association of Philosophy Teachers Studies in Pedagogy 5:123-143.
    Problem-Based Learning has become an increasingly popular instructional method for a variety of disciplines at all levels. Many studies and meta-analyses of these studies have shown the efficacy of this method for developing knowledge and skills. I adopted this method for teaching Engineering Ethics at Carnegie Mellon University, which has as its main course objectives the development of moral reasoning skills, as well as collaboration and communication skills, with special attention given to ethical dilemmas that may arise (...)
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  6. Digital Tools in Problem-Based Learning for Nursing Students.Agustina Chriswinda Bura Mare - 2024 - Sm3D Portal.
    In classroom sessions, various student-centered learning approaches, such as collaborative and problem-based learning, are used. Today, incorporating Information and Communication Technologies (ICT) into nursing education promotes self-directed and personalized learning among students.
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  7.  19
    Integrating Sustainable Agriculture in Teaching Mathematics: Development of a Project- based Learning Prototype.Leonor Roann De Amor Labarca, Sweet Cristine Capin, Elmer Javel Jr, Marvin Valentin, Ivy Lyt Abina & Orville J. Evardo Jr - 2024 - International Journal of Multidisciplinary Educational Research and Innovation 2 (4):1-10.
    This developmental study seeks to develop a Project-Based learning prototype that integrates sustainable agriculture in teaching mathematics. Data was gathered through the in-depth interviews using the developed semi-structured questionnaire. The study used the Clarke and Braun thematic analysis to analyze the data collected. The researchers found the following themes: Profitability of Aquaponics, Requisite for Computational Skills, Integration of Aquaponics in Teaching Unit Conversion, and Promoting Competencies through Self-discovery as Elements in Crafting Teaching-Learning Package for Sustainable Agriculture. (...) on the result, the researchers developed a Project-Based Learning Prototype that integrates Sustainable Agriculture in teaching mathematics at the grade 7 level. It has been concluded that the proposed teaching-learning prototype should promote competencies through self-discovery, that is, using real-life situations rather than hypothetical ones to engage students in meaningful projects, develop critical thinking and problem-solving skills, and prepare them for future work and careers. Further, it is recommended that future research may investigate the effectiveness and implementation of the developed teaching-learning prototype. Also, school administrators should ensure educators have access to adequate resources, training, and help to implement aquaponics education effectively. (shrink)
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  8. Learning to Discriminate: The Perfect Proxy Problem in Artificially Intelligent Criminal Sentencing.Benjamin Davies & Thomas Douglas - 2022 - In Jesper Ryberg & Julian V. Roberts (eds.), Sentencing and Artificial Intelligence. Oxford: OUP.
    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 (...)
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  9. The Effect of the Digital Book-Assisted Randai Learning Model on Students' Problem-Solving Skills and Information Literacy.Fitri Arsih, Heffi Alberida, Yosi Laila Rahmic, Suci Fajrina & Muhyiatul Fadilah - 2024 - Journal of Law and Sustainable Development 12 (1):e2753.
    Purpose:The research aims to see the effect of using digital books based on the RANDAI learning model on students' problem-solving skills and information literacy in biology learning. -/- Theoritical Framework: The integration of local wisdom will make the material more contextual so that learning becomes more meaningful. Digital books that are integrated with local wisdom can be concretized through digital books based on the RANDAI learning model. -/- Methodology:The study was conducted at a (...)
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  10. A Game-Based Tool for Freshmen Design Students During the Pandemic Distance Learning.Sepehr Vaez Afshar, Sarvin Eshaghi & Muhammed Ali Ornek - 2021 - In Sepehr Vaez Afshar, Sarvin Eshaghi & Muhammed Ali Ornek (eds.), 4th International Symposium on Art and Design Education: Art and design during and after the Covid- 19 Period. Başkent University: pp. 77-83.
    The emergence of the need for orientation since the past times led the universities to invent innovative ways to prepare their students for the activities and courses they will face. Hence, various types of orientation have been provided during history. However, today with the outbreak of the Covid-19 and the closure of the schools, most of the students are continuing their studies as distance learning. While this situation is very disappointing for all freshmen students who do not know the (...)
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  11. Biology at Home: The Six Attributes of Home-based Biology Experiments (HBEs) for Remote Authentic Learning.Dave Arthur Robledo - 2021 - Psychology and Education 58 (4):4319-43123.
    Home-based biology experiments are activities that utilize household materials that have been adapted for the remote learning environment and are aligned to standard learning competencies. Recognizingthe households and kitchens as extensions of laboratories, HBEs can be used to deliver authentic learning experiences for the students at home. Furthermore, there are several attributes of HBEs that should be considered before the implementation of the activity. These attributes are, it is ethical and safe to perform, it produces tangible (...)
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  12. Can motto-goals outperform learning and performance goals? Influence of goal setting on performance and affect in a complex problem solving task.Miriam Sophia Rohe, Joachim Funke, Maja Storch & Julia Weber - 2016 - Journal of Dynamic Decision Making 2 (1):1-15.
    In this paper, we bring together research on complex problem solving with that on motivational psychology about goal setting. Complex problems require motivational effort because of their inherent difficulties. Goal Setting Theory has shown with simple tasks that high, specific performance goals lead to better performance outcome than do-your-best goals. However, in complex tasks, learning goals have proven more effective than performance goals. Based on the Zurich Resource Model, so-called motto-goals should activate a person’s resources through positive (...)
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  13. Reference framework for active learning in higher education.Pranav Naithani - 2008 - In Abdulla Al-Hawaj, Wajeeh Elali & E. H. Twizell (eds.), Higher Education in the Twenty-First Century: Issues and Challenges. Taylor & Francis Group. pp. 113-120.
    The work presented in this paper traces the history of active learning and further utilizes the available literature to define meaning and importance of active learning in higher education. The study highlights common practical problems faced by students and instructors in implementing active learning in higher education and further identifies a set of individual prac-tices being used worldwide to overcome the obstacles. Expectations and responsibilities of stu-dents and instructors are also specified to enhance the efficiency of active (...)
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  14. Tooth Problems Knowledge Based System.Azmi H. Alsaqqa, Mohammed A. Alkahlout & Samy S. Abu-Naser - 2021 - International Journal of Academic Information Systems Research (IJAISR) 5 (5):17-22.
    Abstract: background: Dental and oral health is an essential part of your overall health and well-being. Poor oral hygiene can lead to dental cavities and gum disease, and has also been linked to heart disease, cancer, and diabetes. Maintaining healthy teeth and gums is a lifelong commitment. The earlier you learn proper oral hygiene habits — such as brushing, flossing, and limiting your sugar intake — the easier it’ll be to avoid costly dental procedures and long-term health issues. (Healthline, n.d.) (...)
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  15. Reframing Remote Learning Assessment Practices Of Teachers': Input For School Based Testing Reforms.Resty C. Samosa - 2022 - International Journal of Academic Pedagogical Research (IJAPR) 6 (1):4-20.
    Due to the unprecedented COVID-19 incident, basic education institutions have faced different challenges in their teaching-learning activities. Particularly conducting assessments remotely during COVID-19 has posed extraordinary challenges for basic education institutions owing to lack of preparation superimposed with the inherent problems of remote assessment. Descriptive-evaluation research was employed since the present study attempts to examines the assessment practices and competences on remote learning assessment of teachers in Graceville National High School. For the study, questionnaires were prepared and data (...)
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  16. Classification of Real and Fake Human Faces Using Deep Learning.Fatima Maher Salman & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):1-14.
    Artificial intelligence (AI), deep learning, machine learning and neural networks represent extremely exciting and powerful machine learning-based techniques used to solve many real-world problems. Artificial intelligence is the branch of computer sciences that emphasizes the development of intelligent machines, thinking and working like humans. For example, recognition, problem-solving, learning, visual perception, decision-making and planning. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning unsupervised (...)
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  17. Improving Algebraic Thinking Skill, Beliefs And Attitude For Mathematics Throught Learning Cycle Based On Beliefs.Widodo Winarso & Toheri - 2017 - Munich University Library.
    In the recent years, problem-solving become a central topic that discussed by educators or researchers in mathematics education. it’s not only as the ability or as a method of teaching. but also, it is a little in reviewing about the components of the support to succeed in problem-solving, such as student's belief and attitude towards mathematics, algebraic thinking skills, resources and teaching materials. In this paper, examines the algebraic thinking skills as a foundation for problem-solving, and (...) cycle as a breath of continuous learning. In this paper, learning cycle to be used is a modified type of 5E based on beliefs. (shrink)
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  18. Recurrent Neural Network Based Speech emotion detection using Deep Learning.P. Pavithra - 2022 - Journal of Science Technology and Research (JSTAR) 3 (1):65-77.
    In modern days, person-computer communication systems have gradually penetrated our lives. One of the crucial technologies in person-computer communication systems, Speech Emotion Recognition (SER) technology, permits machines to correctly recognize emotions and greater understand users' intent and human-computer interlinkage. The main objective of the SER is to improve the human-machine interface. It is also used to observe a person's psychological condition by lie detectors. Automatic Speech Emotion Recognition(SER) is vital in the person-computer interface, but SER has challenges for accurate recognition. (...)
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  19. Biomedical ontology alignment: An approach based on representation learning.Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith & Dimitris Kiritsis - 2018 - Journal of Biomedical Semantics 9 (21).
    While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering, we present a novel representation learning approach that is tailored to the ontology matching task. Our approach is based on embedding ontological terms in a high-dimensional Euclidean space. This embedding is derived on the basis of a novel phrase retrofitting (...)
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  20. Learning Management System (LMS) for Academic Inclusion and Learning Agency: An Interpretive Review of Technoprogressivism in ODL Instructional Technology Policy.Bongani Nkambule, Sindile Ngubane & Siphamandla Mncube - 2023 - Journal of Education Society and Multiculturalism 4 (2):48-84.
    Literature frequently describes how ineffective implementation of instructional policy frameworks can make distance learning a lonely and unrewarding academic pursuit, characterized by high student drop-out rates, high failure rates and academic exclusion. In trying to mitigate this catastrophe, academic departments in distance learning institutions utilize learning management systems (LMSs) to stimulate students’ learning experiences. In keeping with techno-progressivism, the researchers (and authors of this paper) turned to extant documentary policy and literature to review – qualitatively – (...)
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  21. Place-based philosophical education: Reconstructing ‘place’, reconstructing ethics.Simone Thornton, Mary Graham & Gilbert Burgh - 2021 - Childhood and Philosophy 17:1-29.
    Education as identity formation in Western-style liberal-democracies relies, in part, on neutrality as a justification for the reproduction of collective individual identity, including societal, cultural, institutional and political identities, many aspects of which are problematic in terms of the reproduction of environmentally harmful attitudes, beliefs and actions. Taking a position on an issue necessitates letting go of certain forms of neutrality, as does effectively teaching environmental education. We contend that to claim a stance of neutrality is to claim a position (...)
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  22. Constructivist Learning Amid the COVID-19 Pandemic: Investigating Students’ Perceptions of Biology Self-Learning Modules.Aaron Funa & Frederick Talaue - 2021 - International Journal of Learning, Teaching and Educational Research 20 (3):250-264.
    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 (...)
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  23. (1 other version)Learning as Differentiation of Experiential Schemas.Jan Halák - 2019 - In Jim Parry & Pete Allison (eds.), Experiential Learning and Outdoor Education: Traditions of practice and philosophical perspectives. Routledge. pp. 52-70.
    The goal of this chapter is to provide an interpretation of experiential learning that fully detaches itself from the epistemological presuppositions of empiricist and intellectualist accounts of learning. I first introduce the concept of schema as understood by Kant and I explain how it is related to the problems implied by the empiricist and intellectualist frameworks. I then interpret David Kolb’s theory of learning that is based on the concept of learning cycle and represents an (...)
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  24. Physics Quest: Digital Game-Based Lessons for Seventh Grade.Maricel Gaviño & John Vincent Aliazas - 2024 - International Journal for Science and Advance Research in Technology 10 (2):82-93.
    This study sought to create a digital game-based physics lesson for seventh-grade students. It sought answers to respondents' least mastered competencies in physics by identifying their preferred game-based learning activity and determining their level of critical thinking, creative thinking, and problem-solving. A descriptive-developmental design was used in the study of selected learners from 129 grade 7 students, carried out at Bukal Sur National High School in Candelaria, Quezon, during the academic year 2022-2023. The study's findings revealed (...)
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  25. Strategy of Digital Competence Formation Using a Hybrid Learning Environment Based on Microsoft 365 Services.Maksym Bezpartochnyi - 2022 - Kosice: Vysoká škola bezpečnostného manažérstva v Košiciach.
    COVID-19 and military actions on the territory of Ukraine fundamentally changed the organization of the educational process, forcing educational institutions to transfer classroom learning to virtual space. To organize the educational process remotely, we need to organize an educational environment in which we can ensure the implementation of all types of educational activities, as well as creation and selection of e-resources depending on their types. Having guidelines in the form of modes, forms and learning outcomes, it is necessary (...)
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  26. Detection and Mathematical Modeling of Anxiety Disorder Based on Socioeconomic Factors Using Machine Learning Techniques.Razan Ibrahim Alsuwailem & Surbhi Bhatia - 2022 - Human-Centric Computing and Information Sciences 12:52.
    The mental risk poses a high threat to the individuals, especially overseas demographic, including expatriates in comparison to the general Arab demographic. Since Arab countries are renowned for their multicultural environment with half of the population of students and faculties being international, this paper focuses on a comprehensive analysis of mental health problems such as depression, stress, anxiety, isolation, and other unfortunate conditions. The dataset is developed from a web-based survey. The detailed exploratory data analysis is conducted on the (...)
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  27. Roleplaying Game–Based Engineering Ethics Education: Lessons from the Art of Agency.Trystan S. Goetze - 2024 - Proceedings of the 2024 American Society for Engineering Education St. Lawrence Section Annual Conference.
    How do we prepare engineering students to make ethical and responsible decisions in their professional work? This paper presents an approach that enhances engineering students’ engagement with ethical reasoning by simulating decision-making in a complex scenario. The approach has two principal inspirations. The first is Anthony Weston’s scenario-based teaching. Weston’s concept of a scenario is a situation that changes in response to choices made by participants, according to an inner logic. Scenarios can dynamically explore open-ended complex problems without imposing (...)
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  28. Pedagogical Approaches in Statistics and Probability during Pandemic.Melanie Gurat & Cathlyn Dumale - 2023 - American Journal of Educational Research 11 (6):337-347.
    The difficulty of the students in Statistics and Probability subject, and the pedagogical approaches used by the teachers, were the challenges encountered by both students and teachers due to the restrictions during the CoViD-19 pandemic. Hence, this study aimed to determine the pedagogical approaches used in teaching statistics and probability during the pandemic. The study used a qualitative approach, particularly document analysis. The main source of the data was the module in statistics and probability specifically the learning activity sheets (...)
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  29. REVISITING THE HUMAN RESOURCE AND MANAGEMENT PROGRAM OF THE EARLY YEARS LEARNING CENTER IN MANDALUYONG CITY.Fe Jocelyn G. Dioquino, Albert S. Billones, Ana Katrina S. Caldeira, Melanie Carl T. Espe & Alfredo G. Sy Jr - 2023 - Get International Research Journal 1 (2).
    This study sought to investigate the Human Resource and Management (HRM) Program of a preschool hereinafter referred to as the Early Years Learning Center (EYLC) in Mandaluyong City for purposes of this research study. This is a qualitative case study that delved particularly into the issue of employee retention, especially of seasoned teachers and staff of the subject learning center. It used the interview method to generate an in-depth analysis as it revisited its HRM Program. To triangulate the (...)
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  30. Art and Learning: A Predictive Processing Proposal.Jacopo Frascaroli - 2022 - Dissertation, University of York
    This work investigates one of the most widespread yet elusive ideas about our experience of art: the idea that there is something cognitively valuable in engaging with great artworks, or, in other words, that we learn from them. This claim and the age-old controversy that surrounds it are reconsidered in light of the psychological and neuroscientific literature on learning, in one of the first systematic efforts to bridge the gap between philosophical and scientific inquiries on the topic. The work (...)
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  31. Knowledge Bases and Neural Network Synthesis.Todd R. Davies - 1991 - In Hozumi Tanaka (ed.), Artificial Intelligence in the Pacific Rim: Proceedings of the Pacific Rim International Conference on Artificial Intelligence. IOS Press. pp. 717-722.
    We describe and try to motivate our project to build systems using both a knowledge based and a neural network approach. These two approaches are used at different stages in the solution of a problem, instead of using knowledge bases exclusively on some problems, and neural nets exclusively on others. The knowledge base (KB) is defined first in a declarative, symbolic language that is easy to use. It is then compiled into an efficient neural network (NN) representation, run, (...)
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  32. Tableaux-based decision method for single-agent linear time synchronous temporal epistemic logics with interacting time and knowledge.Mai Ajspur & Valentin Goranko - 2013 - In Kamal Lodaya (ed.), Logic and Its Applications. Springer. pp. 80--96.
    Temporal epistemic logics are known, from results of Halpern and Vardi, to have a wide range of complexities of the satisfiability problem: from PSPACE, through non-elementary, to highly undecidable. These complexities depend on the choice of some key parameters specifying, inter alia, possible interactions between time and knowledge, such as synchrony and agents' abilities for learning and recall. In this work we develop practically implementable tableau-based decision procedures for deciding satisfiability in single-agent synchronous temporal-epistemic logics with interactions (...)
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  33. Diagnosis of Pneumonia Using Deep Learning.Alaa M. A. Barhoom & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (2):48-68.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and react like humans. Some of the activities computers with artificial intelligence are designed for include, Speech, recognition, Learning, Planning and Problem solving. Deep learning is a collection of algorithms used in machine learning, It is part of a broad family of methods used for machine learning that are based on learning representations of (...)
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  34. Classification of Anomalies in Gastrointestinal Tract Using Deep Learning.Ibtesam M. Dheir & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):15-28.
    Automatic detection of diseases and anatomical landmarks in medical images by the use of computers is important and considered a challenging process that could help medical diagnosis and reduce the cost and time of investigational procedures and refine health care systems all over the world. Recently, gastrointestinal (GI) tract disease diagnosis through endoscopic image classification is an active research area in the biomedical field. Several GI tract disease classification methods based on image processing and machine learning techniques have (...)
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  35. Classification of Sign-Language Using MobileNet - Deep Learning.Tanseem N. Abu-Jamie & Samy S. Abu-Naser - 2022 - International Journal of Academic Information Systems Research (IJAISR) 6 (7):29-40.
    Abstract: Sign language recognition is one of the most rapidly expanding fields of study today. Many new technologies have been developed in recent years in the fields of artificial intelligence the sign language-based communication is valuable to not only deaf and dumb community, but also beneficial for individuals suffering from Autism, downs Syndrome, Apraxia of Speech for correspondence. The biggest problem faced by people with hearing disabilities is the people's lack of understanding of their requirements. In this paper (...)
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  36. Epistemic virtues of harnessing rigorous machine learning systems in ethically sensitive domains.Thomas F. Burns - 2023 - Journal of Medical Ethics 49 (8):547-548.
    Some physicians, in their care of patients at risk of misusing opioids, use machine learning (ML)-based prediction drug monitoring programmes (PDMPs) to guide their decision making in the prescription of opioids. This can cause a conflict: a PDMP Score can indicate a patient is at a high risk of opioid abuse while a patient expressly reports oppositely. The prescriber is then left to balance the credibility and trust of the patient with the PDMP Score. Pozzi1 argues that a (...)
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  37. Downloaded Worksheets: A Learning Activity to Enhance Mathematical Level.Elmer C. Zarate, Beverly B. Fernandez & Lorelie E. Dorias - 2022 - Universal Journal of Educational Research 1 (1).
    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 (...)
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  38. Inductive Risk, Understanding, and Opaque Machine Learning Models.Emily Sullivan - 2022 - Philosophy of Science 89 (5):1065-1074.
    Under what conditions does machine learning (ML) model opacity inhibit the possibility of explaining and understanding phenomena? In this article, I argue that nonepistemic values give shape to the ML opacity problem even if we keep researcher interests fixed. Treating ML models as an instance of doing model-based science to explain and understand phenomena reveals that there is (i) an external opacity problem, where the presence of inductive risk imposes higher standards on externally validating models, and (...)
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  39. Reflective or Diffractive Learning/Teaching? Concurrences of Paul Ramsden And Karen Barad’s Approaches.Karolina Rybačiauskaitė - 2020 - Acta Paedagogica Vilnensia 45:175-183.
    In this article it is argued that the optical metaphor and critical practice of diffraction further developed by Donna Haraway and Karen Barad might be no less significant than the widely spread notion of reflection, when the questions of various practices of knowledge are addressed. By considering Paul Ramsden’s approach to learning/teaching and its underlying theory in higher education alongside Karen Barad’s methodology of diffraction, it is shown that Ramsden’s understanding of learning/teaching is rather based on the (...)
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  40.  91
    Efficiency in Organism-Environment Information Exchanges: A Semantic Hierarchy of Logical Types Based on the Trial-and-Error Strategy Behind the Emergence of Knowledge.Mattia Berera - 2024 - Biosemiotics 17 (1):131-160.
    Based on Kolchinsky and Wolpert’s work on the semantics of autonomous agents, I propose an application of Mathematical Logic and Probability to model cognitive processes. In this work, I will follow Bateson’s insights on the hierarchy of learning in complex organisms and formalize his idea of applying Russell’s Type Theory. Following Weaver’s three levels for the communication problem, I link the Kolchinsky–Wolpert model to Bateson’s insights, and I reach a semantic and conceptual hierarchy in living systems as (...)
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  41. Sociocultural factors affecting first-year medical students’ adjustment to a PBL program at an African medical school.Masego Kebaetse, Dominic Griffiths, Gaonyadiwe Mokone, Mpho Mogodi, Brigid Conteh, Oathokwa Nkomazana, John Wright, Rosemary Falama & Kebaetse Maikutlo - 2024 - BMC Medical Education 24 (277):1-12.
    Background: Besides regulatory learning skills, learning also requires students to relate to their social context and negotiate it as they transition and adjust to medical training. As such, there is a need to consider and explore the role of social and cultural aspects in student learning, particularly in problem-based learning, where the learning paradigm differs from what most students have previously experienced. In this article, we report on the findings of a study exploring (...)
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  42. The Effects of Cloud Mobile Learning and Creative Environment on Student’s Creative Performances.Chen Si Yi - unknown
    The Purpose of this study was to investigate the effect of cloud mobile learning and creative environment on college student’s creativity performance. A nonequivalent pretest-posttest quasi-experimental design was used in this research. The objects were two freshman classes selected from a public university and randomly assigned to the experimental group and the control group. A learning activity named Amphibious Mechanical Beast was conducted in this teaching experiment. The experimental was taught using cloud mobile learning, while the control (...)
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  43. Detection of Brain Tumor Using Deep Learning.Hamza Rafiq Almadhoun & Samy S. Abu-Naser - 2022 - International Journal of Academic Engineering Research (IJAER) 6 (3):29-47.
    Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines or software that work and reacts like humans, some of the computer activities with artificial intelligence are designed to include speech, recognition, learning, planning and problem solving. Deep learning is a collection of algorithms used in machine learning, it is part of a broad family of methods used for machine learning that are based on learning representations of (...)
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  44.  80
    VIRTUAL LANDSCAPE IN SERIOUS GAMES: A FRAMEWORK FOR ENHANCING THE PLAYER INTERACTION FOCUSING ON THE LEARNING RATE.Sepehr Vaez Afshar - 2021 - Dissertation, Istanbul Technical University
    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 (...)
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  45. Beyond Words: Uncovering the Untold Stories of Multilingual Students' Lived Experiences in Online Distance Learning.Melvin Guache, Karen Manaig, John Federick Tesoro, Albert Yazon & Sherwin Sapin - 2023 - Journal of Elementary and Secondary School 1 (1):1-15.
    This study aimed to examine the lived experiences of multilingual students in online distance learning during the height of the COVID-19 pandemic. The study utilized the qualitative research design - transcendental phenomenology and employed purposive sampling. The study participants were ten (10) multilingual students among Senior High School Students. A researcher-made questionnaire was reviewed by research experts and was used in individual interviews with the participants. The collected data through interviews underwent thematic analyses and triangulation. Based on the (...)
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  46. STUDENTS’ LEVEL OF PROCEDURAL FLUENCY AND DIFFICULTIES IN COLLEGE ALGEBRA: A FLEXIBLE LEARNING SET-UP.Joel C. Patiño Jr - 2023 - Get International Research Journal 1 (2).
    Various changes and advances have taken place in the ways of teaching and learning. With the encountered global pandemic crisis, flexible learning has been practiced particularly in state universities and colleges. This study sought to determine the level of procedural fluency in College Algebra as well as the difficulties and interventions applied by tertiary students of Cotabato State University (CSU) in the flexible learning set-up. The period covered by the study was during the first semester of the (...)
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  47.  72
    Enhancing Students’ Metacognitive Skills Through Problem-Solving Strategy in Teaching Mathematics.Elton John Embodo - 2024 - International Journal of Scientific Engineering and Science 8 (9):88-91.
    Metacognitive skills are essential to be developed by the students to help improve their academic performance. This study was conducted with the aim of determining whether the use of problem-solving strategies can increase students' metacognitive skills. Students of the Mathematics in the World course offered at a local college in the Philippines were selected to participate in this study. Using an independent sample t-test, results revealed that students who were the recipients of problem-solving strategies scored statistically higher in (...)
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  48. Problems and Solutions in Researching Computer Game Assisted Dialogues for Persons with Aphasia.Ylva Backman, Viktor Gardelli & Peter Parnes - 2022 - Designs for Learning 1 (14):46–51.
    In this paper, we describe technological advances for supporting persons with aphasia in philosophical dialogues about personally relevant and contestable questions. A computer game-based application for iPads is developed and researched through Living Lab inspired workshops in order to promote the target group’s communicative participation during group argumentation. We outline some central parts of the background theory of the application and some of its main features, which are related to needs of the target group. Methodological issues connected to the (...)
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  49. A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers.Lorna Green - manuscript
    June 2022 A Revolutionary New Metaphysics, Based on Consciousness, and a Call to All Philosophers We are in a unique moment of our history unlike any previous moment ever. Virtually all human economies are based on the destruction of the Earth, and we are now at a place in our history where we can foresee if we continue on as we are, our own extinction. As I write, the planet is in deep trouble, heat, fires, great storms, and (...)
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  50. Reconstruction in philosophy education: The community of inquiry as a basis for knowledge and learning.Gilbert Burgh - 2009 - In Australasia Philosophy of Education Society of (ed.), The Ownership and Dissemination of Knowledge, 36th Annual Conference of the Philosophy of Education Society of Australasia, Queensland University of Technology, Brisbane, Australia, 4–7 December 2008. Philosophy of Education Society of Australasia (PESA). pp. 1-12.
    The ‘community of inquiry’ as formulated by CS Peirce is grounded in the notion of communities of disciplinary-based inquiry engaged in the construction of knowledge. The phrase ‘converting the classroom into a community of inquiry’ is commonly understood as a pedagogical activity with a philosophical focus to guide classroom discussion. But it has a broader application, to transform the classroom into a community of inquiry. The literature is not clear on what this means for reconstructing education and how it (...)
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