Predicting academic performance of learners with the three domains of learning data using neuro-fuzzy model and machine learning algorithms

Authors: R. Parkavi, P. Karthikeyan, Sheik Abdullah A.

Source: Journal of Engineering Research. 12:397-411

Subject Terms: Artificial neural network, Artificial intelligence, Support vector machine, Naive Bayes classifier, Data-driven Education, 4. Education, Social Sciences, Adaptive neuro fuzzy inference system, Computer science, Learning Analytics, Computer Science Applications, Education, Fuzzy logic, Algorithm, Online Learning, Fuzzy control system, Computer Science, Physical Sciences, Machine learning, Decision tree, Student Performance Prediction, Educational Data Mining and Learning Analytics, E-Learning in Higher Education, Innovation in E-Learning and Knowledge Management, Educational Data Mining

A Survey on Offline Reinforcement Learning: Taxonomy, Review, and Open Problems

Authors: Rafael Figueiredo Prudencio, Marcos R. O. A. Máximo, Esther Luna Colombini

Source: IEEE Transactions on Neural Networks and Learning Systems. 35:10237-10257

Subject Terms: FOS: Computer and information sciences, Computer Science - Machine Learning, Artificial intelligence, Class (philosophy), Computer Science - Artificial Intelligence, Robot, Massive Open Online Courses, Reinforcement Learning Algorithms, Perspective (graphical), Social Sciences, Machine Learning (stat.ML), 02 engineering and technology, 01 natural sciences, Social psychology, Machine Learning (cs.LG), Data science, Deep Learning, Statistics - Machine Learning, Artificial Intelligence, Field (mathematics), Reinforcement learning, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Psychology, Biology, Applied Psychology, 0105 earth and related environmental sciences, Human–computer interaction, Botany, Pure mathematics, Robotics, Taxonomy (biology), Reinforcement Learning, Computer science, Learning Analytics, Computer Science Applications, FOS: Psychology, World Wide Web, Popularity, Artificial Intelligence (cs.AI), Online Learning, Computer Science, Physical Sciences, Open research, Educational Data Mining and Learning Analytics, Digital Mental Health Interventions and Efficacy, Mathematics

Access URL: https://pubmed.ncbi.nlm.nih.gov/37030754
http://arxiv.org/abs/2203.01387

ChatGPT in Language Learning: Perspectives from Vietnamese Students in Vietnam and the USA

Authors: Vũ Phi Hổ Phạm, Anh Quoc Le

Source: International Journal of Language Instruction. 3:59-72

Subject Terms: Health Informatics, Vietnamese, Artificial Intelligence, 0502 economics and business, Health Sciences, Psychology, 10. No inequality, Artificial Intelligence in Medicine, 9. Industry and infrastructure, Pedagogy, 4. Education, 05 social sciences, Linguistics, Mathematics education, Computer Science Applications, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, Philosophy, Chatbots, Online Learning, Computer Science, Physical Sciences, Artificial Intelligence in Service Industry, FOS: Languages and literature, Medicine, Student Performance Prediction, Educational Data Mining and Learning Analytics, 0503 education

ELLAS Architecture and Process: Collecting and Curating Data on Women’s Presence in STEM

Authors: Rita Cristina Galarraga Berardi, Pedro Henrique Stolarski Auceli, Cristiano Maciél, Rodgers Fritoli, Guillermo Antonio Dávila, Indira R. Guzman, Luciano Mendes

Source: Journal on Interactive Systems, Vol 15, Iss 1 (2024)
Repositorio Institucional Ulima
Universidad de Lima

Subject Terms: Computer engineering. Computer hardware, Female Leadership, Visual arts, TK7885-7895, QA76.75-76.765, 5. Gender equality, Open Data, Architecture, Pendiente, Computer software, Knowledge Graphs, 10. No inequality, Educational Data Mining, Data-driven Education, 4. Education, STEM, 15. Life on land, 16. Peace & justice, Computer science, Learning Analytics, Computer Science Applications, Process (computing), Operating system, Latin America, Computer Science, Physical Sciences, 8. Economic growth, Educational Data Mining and Learning Analytics, FOS: Civil engineering, Art

File Description: html

Access URL: https://doaj.org/article/d9c44ec4df0340ef803c80db51592858
https://hdl.handle.net/20.500.12724/21837

ENHANCED APPROACH FOR CHANGE OF COURSE OF STUDY USING FUZZY LOGIC

Authors: Solomon Mathew Karma, Babangida Zachariah, Jibril Aminu, Samson Isaac, Lizawati Mi Yusuf, Yaacob Ibrahim

Source: FUDMA JOURNAL OF SCIENCES. 8:323-330

Subject Terms: FOS: Computer and information sciences, Artificial intelligence, Effectiveness of Intelligent Tutoring Systems, 4. Education, Application of Fuzzy Logic in Educational Assessment, Adaptive Learning, Computer science, Learning Analytics, Computer Science Applications, Fuzzy logic, Adaptive Learning Environments, Engineering, Aerospace engineering, Fuzzy Logic, Artificial Intelligence, Computer Science, Physical Sciences, Course (navigation), Student Performance Prediction, Educational Data Mining and Learning Analytics, 10. No inequality, Information Systems

Computer-aided Instruction, Learning Styles and Academic Achievement: Interplay Towards Understanding of Philippine Literature for Grade 7 Students

Authors: Jocelyn Goroleo

Source: Journal of Research and Investigation in Education. :26-41

Subject Terms: Learning styles, Academic Achievement, Learning Styles, 9. Industry and infrastructure, 4. Education, Social Sciences, Adaptive Learning, Academic achievement, 16. Peace & justice, Computer science, Mathematics education, Computer Science Applications, FOS: Psychology, Online Learning, Computer Science, Physical Sciences, Developmental and Educational Psychology, Psychology, Student Performance Prediction, Learning Styles in Higher Education, Educational Data Mining and Learning Analytics, 10. No inequality

Investigating the Correlation between Different ChatGPT Versions and Task Initiation among Postgraduate Students: a Cross-Sectional Study

Authors: Abdelouahd Bouzar, Khaoula EL Idrissi

Source: American Journal of Education and Technology. 3:79-84

Subject Terms: Medical education, Radiology, Nuclear Medicine and Imaging, Geometry, Health Informatics, Systems engineering, Task (project management), Engineering, 5. Gender equality, Health Sciences, FOS: Mathematics, Psychology, 10. No inequality, Student Engagement, Cross-sectional study, Artificial Intelligence in Medicine, 9. Industry and infrastructure, 4. Education, Statistics, Transfer Learning, Applications of Deep Learning in Medical Imaging, Mathematics education, Computer Science Applications, Correlation, 3. Good health, FOS: Psychology, Computer Science, Physical Sciences, Medicine, Student Performance Prediction, Educational Data Mining and Learning Analytics, Mathematics

Classification of Dyslexia Among School Students Using Deep Learning

Authors: Ashraf S. Hussein, Ahmed Talib Abdulameer, Ali Abdulkarim, Husniza Husni, Dalia A. Al-Ubaidi

Source: Journal of Techniques, Vol 6, Iss 1 (2024)

Subject Terms: Technology, Artificial intelligence, Science, 4. Education, Linguistics, Spectrograms, Computer science, Mathematics education, Computer Science Applications, FOS: Philosophy, ethics and religion, 3. Good health, Dyslexia, FOS: Psychology, Philosophy, Deep Learning, Reading (process), Computer Science, Physical Sciences, FOS: Languages and literature, Psychology, Types of Dyslexia, Educational Data Mining and Learning Analytics, CNN

Access URL: https://doaj.org/article/09eef603286c4611a3a377c660f6710a

Assessing Students Performance Using Neutrosophic Tool

Authors: Sunday Adesina Adebisi, Said Broumi

Source: Neutrosophic Optimization and Intelligent Systems. 2:7-18

Subject Terms: Effectiveness of Intelligent Tutoring Systems, Machine Learning in Smart Healthcare, 4. Education, Computer science, Mathematics education, Computer Science Applications, 3. Good health, FOS: Psychology, Artificial Intelligence, Computer Science, Physical Sciences, Psychology, Educational Data Mining and Learning Analytics, 10. No inequality

Evaluation of the Educaplus website and its influence on education

Authors: Maria Elena León Alvarado, Cecilia Haidee Leon Alvarado, Wendy Elizabeth| Pilozo Intriago, Edgar Alcivar Gallegos Martinez, Abraham Eudes Pérez Urruchi

Source: Universidad Ciencia y Tecnología. 28:196-206

Subject Terms: Sociology and Political Science, 9. Industry and infrastructure, Social Network Analysis in Education and Communication, Data-driven Education, 4. Education, Educational Technology, Social Sciences, Open Educational Resources and Learning Object Repositories, Computer science, Computer Science Applications, World Wide Web, ICT in Education, Computer Science, Physical Sciences, Student Performance Prediction, Educational Data Mining and Learning Analytics, 10. No inequality, Educational Data Mining

Evaluating Students’ User Experience on Student Management Information Systems

Authors: Noble Arden Kuadey, Carlos Ankora, Laurene Adjei, Elikem Kofi Krampa, Stephen Oladagba Bolatimi, Lily Bensah, Collinson Colin M. Agbesi

Source: Advances in Human-Computer Interaction, Vol 2024 (2024)

Subject Terms: Information Systems and Management, Knowledge management, Social Sciences, Education, Decision Sciences, 12. Responsible consumption, 11. Sustainability, Psychology, User Acceptance of Information Technology, Student Engagement, Transformative Potential of Blended Learning in Education, 9. Industry and infrastructure, User Satisfaction, 4. Education, 1. No poverty, QA75.5-76.95, Computer science, Mathematics education, Computer Science Applications, FOS: Psychology, Perceived Ease of Use, Electronic computers. Computer science, Student Satisfaction, Computer Science, Physical Sciences, 8. Economic growth, Student Performance Prediction, Educational Data Mining and Learning Analytics

File Description: text/xhtml

Access URL: https://doaj.org/article/33e0d1926ef747d488be4db40491559e

Towards Quality Assurance in MOOCs: A Comprehensive Review and Micro-Level Framework

Authors: Hanane Sebbeq, Nour-eddine El Faddouli

Source: International Review of Research in Open and Distributed Learning, Vol 25, Iss 1 (2024)

Subject Terms: MOOC quality, MOOCs, Massive Open Online Courses, Knowledge management, quality assurance, Epistemology, FOS: Economics and business, Service (business), pedagogical quality framework, Business, 10. No inequality, MOOC success factors, Marketing, LC8-6691, 9. Industry and infrastructure, 4. Education, Special aspects of education, Computer science, Quality assurance, Computer Science Applications, FOS: Philosophy, ethics and religion, Philosophy, Computer Science, Physical Sciences, Quality (philosophy), Educational Data Mining and Learning Analytics

Access URL: https://doaj.org/article/23e7dcd2ec9e4a44abff2fc18b733cf7

Detección Automática de Estilos de Aprendizaje Usando Internet de las Cosas

Authors: Efrain Toledo Cubillos

Source: Ciencia Latina Revista Científica Multidisciplinar. 8:5294-5312

Subject Terms: FOS: Computer and information sciences, Data-driven Education, Educational Technology, Impact of Information and Communication Technology in Education, Computer science, Social Media in Education, Learning Analytics, Computer Science Applications, Digital Education in the 21st Century, Blogs in Education, Computer Science, Physical Sciences, Educational Data Mining and Learning Analytics, Information Systems

Generative AI in Academic Research: A Descriptive Study on Awareness, Gender Usage, and Views among Pre-Service Teachers

Authors: Matthew Nyaaba, Patrick Kyeremeh, Eric Kojo Majialuwe, Collins Owusu-Fordjour, Esther Asebiga, Barnabas A-ingkonge

Source: Volume: 8, Issue: 145-60
Journal of AI

Subject Terms: Artificial Intelligence (Other), Medical education, Artificial intelligence, Generative grammar, Social Sciences, Health Informatics, FOS: Economics and business, Descriptive research, Sociology, 5. Gender equality, Service (business), Health Sciences, 0502 economics and business, FOS: Mathematics, Psychology, Business, 10. No inequality, Educational Data Mining, Artificial Intelligence in Medicine, Marketing, Data-driven Education, 4. Education, Ethical Implications of Artificial Intelligence, Statistics, 05 social sciences, Yapay Zeka (Diğer), Social science, 16. Peace & justice, Computer science, Learning Analytics, Mathematics education, Computer Science Applications, FOS: Sociology, 3. Good health, FOS: Psychology, Descriptive statistics, Computer Science, Physical Sciences, Medicine, Student Performance Prediction, Educational Data Mining and Learning Analytics, Generative AI, Research, Awareness, Use, Perspectives, Pre-service Teachers (PSTs), Gender, Safety Research, 0503 education, Mathematics

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/jai/issue/82707/1400867

Learnings, Issues, and Challenges Encountered by Students and Faculty Members in the Implementation of Small Private Online Courses (SPOCs)

Authors: Geronimo, Cecilia A., Adriano, Raquel C., Celestino, Joseph Roy F.

Source: International Journal of Multidisciplinary: Applied Business and Education Research; Vol. 5 No. 2 (2024): International Journal of Multidisciplinary: Applied Business and Education Research; 696-710

Subject Terms: Medical education, MOOCs, FOS: Political science, Social Sciences, Small Private Online Course (SPOC), Education, Engineering ethics, 12. Responsible consumption, Issues, Engineering, Learnings, Sociology, Psychology, Challenges, 10. No inequality, Political science, Transformative Potential of Blended Learning in Education, 9. Industry and infrastructure, Pedagogy, 4. Education, Mathematics education, Computer Science Applications, FOS: Sociology, FOS: Psychology, Online Learning, Student Satisfaction, Computer Science, Physical Sciences, Recognition of Prior Learning in Higher Education, Student Performance Prediction, Medicine, Educational Data Mining and Learning Analytics

File Description: application/pdf

Access URL: https://ijmaberjournal.org/index.php/ijmaber/article/view/1457

Barriers to the Digital Game-Based learning at Secondary level In Punjab: Perceptions of Pre-Service Teachers

Authors: Shahbaz Hamid, Rabia Tabassum, Noor Muhammad

Source: Research Journal for Societal Issues. 6:01-11

Subject Terms: Medical education, Social Sciences, Game based learning, Education, FOS: Economics and business, Teacher Perceptions, Service (business), Developmental and Educational Psychology, Psychology, Business, 10. No inequality, Educational Games, Marketing, 9. Industry and infrastructure, 4. Education, Gamification in Education and Learning, Educational Technology, Computer science, Mathematics education, Computer Science Applications, FOS: Psychology, Multimedia, Computer Science, Physical Sciences, Student Performance Prediction, Medicine, Perception, Educational Data Mining and Learning Analytics, E-Learning in Higher Education, Game-Based Learning, Neuroscience

Using ChatGPT in English Language Learning: A Study on I.T. Students’ Attitudes, Habits, and Perceptions

Authors: Pham Xuan Phuong Ho

Source: International Journal of TESOL & Education. 4:55-68

Subject Terms: Health Informatics, Artificial Intelligence, Health Sciences, Psychology, 10. No inequality, Artificial Intelligence in Medicine, 9. Industry and infrastructure, Data-driven Education, Pedagogy, 4. Education, Linguistics, 16. Peace & justice, Mathematics education, Computer Science Applications, FOS: Philosophy, ethics and religion, 3. Good health, FOS: Psychology, English language, Philosophy, Online Learning, Computer Science, Physical Sciences, Artificial Intelligence in Service Industry, FOS: Languages and literature, Medicine, Student Performance Prediction, Perception, Educational Data Mining and Learning Analytics, Neuroscience

Enhancing Adaptive Pedagogical Content Development with ADDIE and Scrum in Hypermedia Environments

Authors: Ikram Chelliq, Mohamed Erradi, Mohamed Khaldi

Source: DIROSAT: Journal of Education, Social Sciences & Humanities. 2:63-72

Subject Terms: FOS: Computer and information sciences, Engineering management, Economics, Flexibility (engineering), Knowledge management, Epistemology, Engineering, Adaptive hypermedia, Psychology, ADDIE Model, Innovation in E-Learning and Knowledge Management, 10. No inequality, Scrum, Instructional design, 9. Industry and infrastructure, Data-driven Education, Pedagogy, 4. Education, Educational Technology, Software development, Pedagogical Innovations, Computer science, Hypermedia, Computer Science Applications, Management, FOS: Philosophy, ethics and religion, Programming language, 3. Good health, Adaptability, FOS: Psychology, Philosophy, Multimedia, Computer Science, Physical Sciences, Quality (philosophy), Curriculum, Educational Data Mining and Learning Analytics, Process management, Innovations in Education Technology and Learning Systems, Software, Information Systems

An e-Learning Recommendation System Framework

Authors: Wan-Er Kong, Su-Cheng Haw, Naveen Palanichamy, Siti Husna Abdul Rahman

Source: International Journal on Advanced Science, Engineering and Information Technology. 14:10-19

Subject Terms: FOS: Computer and information sciences, LB1060 Learning, Effectiveness of Intelligent Tutoring Systems, 4. Education, Content-Based Recommendation, Computer science, 7. Clean energy, Learning Analytics, Computer Science Applications, Context-Aware Recommender Systems, Recommender System Technologies, Online Learning, Artificial Intelligence, Computer Science, Physical Sciences, Educational Data Mining and Learning Analytics, Information Systems, Educational Data Mining

File Description: text

Classification Techniques Using Machine Learning for Graduate Student Employability Predictions

Authors: Radiah Haque, Albert Quek, Choo‐Yee Ting, Hui-Ngo Goh, Md. Rakibul Hasan

Source: International Journal on Advanced Science, Engineering and Information Technology. 14:45-56

Subject Terms: Artificial intelligence, Pedagogy, 4. Education, Social Sciences, Graduate Attributes, Dimensions and Applications of Employability in Higher Education, Computer science, Mathematics education, Computer Science Applications, Education, FOS: Psychology, QA71-90 Instruments and machines, Computer Science, Physical Sciences, Machine learning, Graduate students, 8. Economic growth, Recognition of Prior Learning in Higher Education, Student Performance Prediction, Psychology, Educational Data Mining and Learning Analytics, Employability, Educational Data Mining

File Description: text