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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Veröffentlicht in:	Education and information technologies Jg. 29; H. 11; S. 14205 - 14243
Hauptverfasser:	T S, Sanal Kumar, Thandeeswaran, R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2024 Springer
Schlagworte:	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-Zugang:	Volltext
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