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Annotated Examples and Parameterized Exercises: Analyzing Students’ Behavior Patterns

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Artificial Intelligence in Education (AIED 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11625))

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Abstract

Recent studies of student problem-solving behavior have shown stable behavior patterns within student groups. In this work, we study patterns of student behavior in a richer self-organized practice context where student worked with a combination of problems to solve and worked examples to study. We model student behavior in the form of vectors of micro-patterns and examine student behavior stability in various ways via these vectors. To discover and examine global behavior patterns associated with groups of students, we cluster students according to their behavior patterns and evaluate these clusters in accordance with student performance.

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Notes

  1. 1.

    The median split can be calculated within each students also. Since we are interested in capturing content access differences between students, and since time-spent variance among problems is larger than among students, we chose to split the data according to problem-answering medians.

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Acknowledgement

This work is partially supported by the National Science Foundation, under grant IIS-1755910.

Author information

Authors and Affiliations

  1. Department of Computer Science, University at Albany - SUNY, Albany, USA

    Mehrdad Mirzaei & Shaghayegh Sahebi

  2. School of Computing and Information, University of Pittsburgh, Pittsburgh, USA

    Peter Brusilovsky

Authors
  1. Mehrdad Mirzaei
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  2. Shaghayegh Sahebi
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  3. Peter Brusilovsky
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Corresponding author

Correspondence to Mehrdad Mirzaei .

Editor information

Editors and Affiliations

  1. University of Sao Paulo, Sao Paulo, Brazil

    Seiji Isotani

  2. University of Malaga, Málaga, Spain

    Eva Millán

  3. Carnegie Mellon University, Pittsburgh, PA, USA

    Amy Ogan

  4. DePaul University, Chicago, IL, USA

    Peter Hastings

  5. Carnegie Mellon University, Pittsburgh, PA, USA

    Bruce McLaren

  6. University College London, London, UK

    Rose Luckin

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Mirzaei, M., Sahebi, S., Brusilovsky, P. (2019). Annotated Examples and Parameterized Exercises: Analyzing Students’ Behavior Patterns. In: Isotani, S., Millán, E., Ogan, A., Hastings, P., McLaren, B., Luckin, R. (eds) Artificial Intelligence in Education. AIED 2019. Lecture Notes in Computer Science(), vol 11625. Springer, Cham. https://doi.org/10.1007/978-3-030-23204-7_26

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  • DOI: https://doi.org/10.1007/978-3-030-23204-7_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23203-0

  • Online ISBN: 978-3-030-23204-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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