An improved adaptive personalization model for instructional video-based e-learning environments

Due to the unexpected COVID-19 pandemic, video-based e-learning environments for programming education have disrupted traditional classroom teaching methods. The major drawbacks of these environments are that they never consider the individual differences and personal traits of the learner while bui...

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Bibliographic Details
Published in:	Journal of computers in education (the official journal of the Global Chinese Society for Computers in Education) Vol. 12; no. 1; pp. 267 - 313
Main Authors:	Sanal Kumar, T S, Thandeeswaran, R.
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2025 Springer Nature B.V
Subjects:	Access to Education Algorithms Blended learning Classrooms Cognition & reasoning Cognitive style Computer programming Computers Computers and Education Conventional Instruction Customization Distance Education Distance learning Education Educational Environment Educational Experience Educational Media Educational objectives Educational Technology Electronic Learning Evaluation Higher education Influence of Technology Instructional Improvement Instructional Materials Knowledge Knowledge acquisition Learner Engagement Learning Experience Learning Management Systems Learning Problems Learning Processes Online Courses Online instruction Outcomes of Education Personalized learning Positive feedback Preferences Programming School environment Students Teaching methods Undergraduate study Video Python programming Statistical analysis Learning style model Higher education Blended learning Personalized instructional videos
ISSN:	2197-9987, 2197-9995
Online Access:	Get full text
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