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O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
Koyuncu, Ilhan; Kilic, Abdullah Faruk; Orhan Goksun, Derya – Turkish Online Journal of Distance Education, 2022
During emergency remote teaching (ERT) process, factors affecting the achievement of students have changed. The purposes of this study are to determine the variables that affect the classification of students according to their course achievements in ERT during the pandemic process and to examine the classification performance of machine learning…
Descriptors: Classification, Distance Education, Academic Achievement, Electronic Learning
Isaac Wiafe; Akon Obu Ekpezu; Gifty Oforiwaa Gyamera; Fiifi Baffoe Payin Winful; Elikem Doe Atsakpo; Charles Nutropkor; Stephen Gulliver – Education and Information Technologies, 2025
The COVID-19 pandemic has propelled the use of technology in education through platforms such as YouTube and immersive technologies (e.g., virtual reality (VR) and augmented reality (AR)). Despite their potential to improve equity, access, engagement, and cognitive achievement, studies comparing their impacts on learning outcomes are scarce. This…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Simulated Environment
Abrache, Mohamed-Amine; Bendou, Abdelkrim; Cherkaoui, Chihab – Journal of Educational Computing Research, 2021
Peer assessment is a method that has shown a positive impact on learners' cognitive and metacognitive skills. It also represents an effective alternative to instructor-provided assessment within computer-based education and, particularly, in massive online learning settings such as MOOCs. Various platforms have incorporated this mechanism as an…
Descriptors: Peer Evaluation, Mathematics, Online Courses, College Students
Pant, Harsh Vardhan; Lohani, Manoj Chandra; Pande, Jeetendra – Journal of Learning for Development, 2022
Massive Open Online Courses (MOOCs) have recently become attractive at most universities, and the number of MOOCs has risen significantly, particularly in India. Despite their popularity, previous research has revealed a low course completion rate and a scarcity of research on the factors that influences learners' retention in MOOCs. Therefore, it…
Descriptors: MOOCs, Higher Education, Foreign Countries, School Holding Power
Lu, Dang-Nhac; Le, Hong-Quang; Vu, Tuan-Ha – Education Sciences, 2020
The COVID-19 epidemic is affecting all areas of life, including the training activities of universities around the world. Therefore, the online learning method is an effective method in the present time and is used by many universities. However, not all training institutions have sufficient conditions, resources, and experience to carry out online…
Descriptors: Electronic Learning, Adoption (Ideas), Higher Education, Evaluation Methods
Ünsal Özbek, Elif Bengi; Yetkiner, Alper – International Journal of Psychology and Educational Studies, 2021
The developments and changes that have accompanied the COVID-19 pandemic have affected the educational world and all sectors. Educational institutions around the world have implemented emergency and online educational practises to ensure continuity of education as opposed to the planned distance education activities that were implemented for…
Descriptors: Regression (Statistics), Classification, Instructional Effectiveness, Electronic Learning
Huang, Anna Y. Q.; Lu, Owen H. T.; Huang, Jeff C. H.; Yin, C. J.; Yang, Stephen J. H. – Interactive Learning Environments, 2020
In order to enhance the experience of learning, many educators applied learning analytics in a classroom, the major principle of learning analytics is targeting at-risk student and given timely intervention according to the results of student behavior analysis. However, when researchers applied machine learning to train a risk identifying model,…
Descriptors: Academic Achievement, Data Use, Learning Analytics, Classification
Holmes, Mike; Latham, Annabel; Crockett, Keeley; O'Shea, James D. – IEEE Transactions on Learning Technologies, 2018
Comprehension is an important cognitive state for learning. Human tutors recognize comprehension and non-comprehension states by interpreting learner non-verbal behavior (NVB). Experienced tutors adapt pedagogy, materials, and instruction to provide additional learning scaffold in the context of perceived learner comprehension. Near real-time…
Descriptors: Comprehension, Classification, Artificial Intelligence, Networks
Pesterva, Nina; Yuhua, Sun; Belyakova, Mariya; Jgin, Feng – European Journal of Contemporary Education, 2019
The object of this study is to assess the potential for the development of the Russian market for educational services as a component part of the present-day process of internationalization of science and higher education in the countries of Eurasia, above all China and Russia. The paper describes Russia's and China's unique unifying and…
Descriptors: International Education, International Cooperation, Program Development, Higher Education
Hew, Khe Foon; Qiao, Chen; Tang, Ying – International Review of Research in Open and Distributed Learning, 2018
Although massive open online courses (MOOCs) have attracted much worldwide attention, scholars still understand little about the specific elements that students find engaging in these large open courses. This study offers a new original contribution by using a machine learning classifier to analyze 24,612 reflective sentences posted by 5,884…
Descriptors: Learner Engagement, Large Group Instruction, Online Courses, Man Machine Systems
Premlatha, K. R.; Dharani, B.; Geetha, T. V. – Interactive Learning Environments, 2016
E-learning allows learners individually to learn "anywhere, anytime" and offers immediate access to specific information. However, learners have different behaviors, learning styles, attitudes, and aptitudes, which affect their learning process, and therefore learning environments need to adapt according to these differences, so as to…
Descriptors: Electronic Learning, Profiles, Automation, Classification
Pechenkina, Ekaterina – Australasian Journal of Educational Technology, 2017
Mobile applications (apps) are used in higher education (HE) in a variety of ways, including as learning tools, study organisers, for marketing, and recruitment of new students. Purposed with easing student transition into university life, organiser apps have a capacity to assist students with various aspects of university experience, freeing up…
Descriptors: Classification, Computer Oriented Programs, Educational Technology, Handheld Devices
Maaliw, Renato R. III; Ballera, Melvin A. – International Association for Development of the Information Society, 2017
The usage of data mining has dramatically increased over the past few years and the education sector is leveraging this field in order to analyze and gain intuitive knowledge in terms of the vast accumulated data within its confines. The primary objective of this study is to compare the results of different classification techniques such as Naïve…
Descriptors: Classification, Cognitive Style, Electronic Learning, Decision Making
Maaliw, Renato R., III – Online Submission, 2016
Virtual Learning Environment (VLE) such as Moodle, Blackboard, and WebCT are commonly and successfully used in E-education. While they focus on supporting educators in creating and holding online courses, they typically do not consider the individual differences of learners. However, learners have different needs and characteristics such as prior…
Descriptors: Virtual Classrooms, Electronic Learning, Integrated Learning Systems, Cognitive Style