Using hidden Markov model to detect problem-solving strategies in an interactive programming environment

Problem-solving strategies are crucial in learning programming. Owing to their hidden nature, traditional methods such as interviews and questionnaires cannot reflect the details and differences of problem-solving strategies in programming. This study uses the Hidden Markov Model to detect and compa...

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Bibliographic Details
Published in:	Educational technology research and development Vol. 73; no. 4; pp. 2113 - 2130
Main Authors:	Wu, Linjing, Xiang, Xuelin, Yang, Xueyan, Jin, Xuan, Chen, Liang, Liu, Qingtang
Format:	Journal Article
Language:	English
Published:	New York Springer Nature B.V 01.08.2025
Subjects:	Algorithms Behavior C plus plus Cognitive Processes Data Analysis Data collection Educational Games Elementary Education Elementary School Students Elementary Schools Environment Grammar Instructional Materials Learning Activities Learning analytics Learning Processes Literature Reviews Low Achievement Markov Processes Probability Problem solving Program Evaluation Programming languages Research design Researchers Spelling Student Behavior Students Syntax Teaching Israel
ISSN:	1042-1629, 1556-6501
Online Access:	Get full text
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