Adapting video-based programming instruction: An empirical study using a decision tree learning model

The COVID-19 pandemic has forced a significant increase in the utilization of video-based e-learning platforms for programming education. These platforms never considered the essential attributes of student characteristics and learning preferences while designing such a problematic subject having hi...

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Bibliographic Details
Published in:	Education and information technologies Vol. 29; no. 11; pp. 14205 - 14243
Main Authors:	T S, Sanal Kumar, Thandeeswaran, R.
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.08.2024 Springer
Subjects:	Computer Appl. in Social and Behavioral Sciences Computer Science Computers and Education Education Educational Technology Epidemics Information Systems Applications (incl.Internet) Methods Online education Study and teaching User Interfaces and Human Computer Interaction Adaptive e-learning environments Instructional video learning style Python programming Higher education Blended learning
ISSN:	1360-2357, 1573-7608
Online Access:	Get full text
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