Publications

Type of Publication: Article in Collected Edition

Automatically identifying learners' problem solving strategies in-process solving algorithmic problems

Author(s):
Kiesmüller, U.; Brinda, T.
Editor:
ACM
Title of Anthology:
Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education 2009, Paris, France July 06 - 09, 2009 (14th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE 2009), Paris)
pages:
354-354
Publisher:
ACM Press
Location(s):
New York
Publication Date:
2009
ISBN:
978-1-60558-537-6
Language:
englisch
Citation:
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Abstract

Learners often use learning and programming environments to practice basics of programming and solving algorithmic problems. To adapt the software feedback to each learner's problem solving process, the learning environment will be enhanced with a tool to identify the individual problem solving strategy in-process automatically. Former attribution of problem solving strategies to patterns in recorded learner-system interactions by human researchers should be validated with the help of questionnaires based on the Theory of Reasoned Action. To identify the patterns automatically, speech recognition methods can be used. In this research project each single problem solving strategy is modelled by a hidden markov model.
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