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A Comparative Study of Adaptative Learning Algorithms for Students’ Performance Prediction: Application in a Moroccan University Computer Science Course

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International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 637))

Abstract

Students’ Performance prediction has attracted the interest of many researchers. Predictive models that predict whether a learner will complete a task successfully or not have several applications. Such models are used by Intelligent Tutoring Systems (ITS) to determine students’ skills. The measurement of students’ performance during their progress can provide critical information to students, teachers, and administrators. In this paper, we are going to evaluate and compare three models PFA, IRT and BKT on three datasets: ASSISTment, Cognitive Tutor, and a set of data extracted from learners' traces when they interact with a MOOC platform of a Moroccan university computer science course.

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Acknowledgements

This work was supported by the Ministry of Higher Education, Scientific Research and Innovation, the Digital Development Agency (DDA) and the CNRST of Morocco under Project No. 451/2020 (Smart Learning).

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Authors and Affiliations

  1. Engineering Sciences Laboratory, National School of Applied Sciences, Ibn Tofail University, Kenitra, Morocco

    Mariam Arkiza, Soukaina Hakkal, Ilham Oumaira & Ayoub Ait Lahcen

Authors
  1. Mariam Arkiza
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  2. Soukaina Hakkal
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  3. Ilham Oumaira
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  4. Ayoub Ait Lahcen
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Corresponding author

Correspondence to Ayoub Ait Lahcen .

Editor information

Editors and Affiliations

  1. Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland

    Janusz Kacprzyk

  2. Abdelmalek Essaâdi University, Tangier, Morocco

    Mostafa Ezziyyani

  3. Department of Automatics and Applied Software, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

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Arkiza, M., Hakkal, S., Oumaira, I., Ait Lahcen, A. (2023). A Comparative Study of Adaptative Learning Algorithms for Students’ Performance Prediction: Application in a Moroccan University Computer Science Course. In: Kacprzyk, J., Ezziyyani, M., Balas, V.E. (eds) International Conference on Advanced Intelligent Systems for Sustainable Development. AI2SD 2022. Lecture Notes in Networks and Systems, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-031-26384-2_61

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