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Discovery of Study Patterns that Impacts Students’ Discussion Performance in Forum Assignments

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Artificial Intelligence in Education (AIED 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11626))

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Abstract

Student-centered courses rely on the active participation of the students in forum assignments. In this work, we investigate a course where the forum assignment discusses a clinical case among professional students (N = 94). We propose a method to discover navigation patterns related to performance grades, using behavioral actions in an LMS platform. We selected a set of significant course actions and built per-user sequences along the course module. Then, we applied the GSP algorithm to identify ordered patterns from this navigational data. The identified patterns were then used as features for a linear regression model, to predict the assignments’ performance, graded manually by the teachers, and controlling for factors that may influence it. Results show some rules correlated to the students’ performances. These results can be used to better inform course designers on how to improve the courseware and instructors on how to better guide their students.

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Acknowledgements

The ‘Auditory Rehabilitation in Children’ course was funded by the Brazilian Ministry of Health - Support Program for Institutional Development of the National Health System (Proadi/SUS - Grant 25000.024953/2015-89). The authors also thanks CNPq (Grant 307887/2017-0), CAPES and FAPESP (Grant15/24507-2) for the funding support.

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Authors and Affiliations

  1. Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, SP, 13566-900, Brazil

    Bruno Elias Penteado & Seiji Isotani

  2. Speech Language Pathology and Audiology Department - Bauru Dental School, University of São Paulo, Bauru, SP, 17012-901, Brazil

    Paula Maria Pereira Paiva, Marina Morettin-Zupelari & Deborah Viviane Ferrari

Authors
  1. Bruno Elias Penteado
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  2. Seiji Isotani
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  3. Paula Maria Pereira Paiva
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  4. Marina Morettin-Zupelari
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  5. Deborah Viviane Ferrari
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Corresponding author

Correspondence to Bruno Elias Penteado .

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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Penteado, B.E., Isotani, S., Paiva, P.M.P., Morettin-Zupelari, M., Ferrari, D.V. (2019). Discovery of Study Patterns that Impacts Students’ Discussion Performance in Forum Assignments. 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 11626. Springer, Cham. https://doi.org/10.1007/978-3-030-23207-8_41

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  • DOI: https://doi.org/10.1007/978-3-030-23207-8_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-23206-1

  • Online ISBN: 978-3-030-23207-8

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