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:
- Download BibTeX
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.