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

Published: 06 July 2009 Publication History

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.

References

[1]
Ajzen, I., Fishbein, M. 1975. Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley, (http://people.umass.edu/aizen/f&a1975.html).
[2]
Kiesmüller, U. 2008. Diagnosing Learners' Problem Solving Strategies Using Learning Environments with Algorithmic Problems in Secondary Education. In (Malmi, L., Pears, A. (Hrsg.)) Pre-Proceedings of the 8th Koli Calling International Conference on Computing Education Research (Koli Calling 2008, Koli, Finland, 13. -- 16.11.), p. 12--20.
[3]
Kiesmüller, U., Brinda, T. 2008. How Do 7th Graders Solve Algorithmic Problems? -- A Tool-Based Analysis. In Proceedings of the 13th Annual Conference on Innovation and Technology in Computer Science Education (Madrid, Spain, June 30--July 2, 2008). ITICSE 2008. ACM Press, New York, NY, 353.
[4]
Schukat-Talamazzini, E.G. 1995. Automatische Spracherkennung -- Grundlagen, statistische Modelle und effiziente Algorithmen. Künstliche Intelligenz. Vieweg, Braunschweig, Germany.

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      cover image ACM Conferences
      ITiCSE '09: Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
      July 2009
      428 pages
      ISBN:9781605583815
      DOI:10.1145/1562877
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 06 July 2009

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      Author Tags

      1. algorithms
      2. computer science education
      3. didactics of informatics
      4. problem solving strategies
      5. tool-based analysis

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      ITiCSE '09 Paper Acceptance Rate 66 of 205 submissions, 32%;
      Overall Acceptance Rate 552 of 1,613 submissions, 34%

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