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Student’s profile modeling in an adaptive gamified learning environment

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Abstract

A student’s profile defines the best way a student chooses to learn. It comprises information on student’s characteristics such as background knowledge, learning style preference, goals, personality etc. The foremost challenge that the students experience in learning system is that they are unable to bring back relevant information based on their needs. One of the methods used to obtain the students’ needs is to create a highly efficient student profile, which would represent the true students’ needs. Our contribution consists in modeling a student’s profile based on many important characteristics. In this context, we developed an “SPOnto” ontology to represent a student profile in an adaptive gamified learning system. This ontology will then help the classification of the different types of learners using the machine learning techniques. The present paper epitomizes the implementation of our contribution in a gamified learning environment “Class Quiz” and the assessment of its effectiveness. We created classification models by applying several algorithms and using a dataset encompassing 500 instances.

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Notes

  1. https://classquiz.tn/, Class Quiz won the first prize among 481 competitors from all Arab countries, during its participation in the "Mada—ALECSO" Competition for mobile applications for the year 2019 as the best Arabic mobile application.

  2. ENVAST is a Startup founded in 2016 by young engineers, provides innovative digital educational products by mixing new technologies with creative design (https://envast.tn/). Among its projects, the mobile application “Class Quiz” (https://classquiz.tn/).

  3. “TROUBLES DYS”, Fédération Française des DYS, Oct. 13, 2008.

  4. Comma-separated values, known by the acronym CSV, is a computer format that allows data to be represented as comma-separated values.

  5. Tutoriels Tanagra – http://tutoriels-data-mining.blogspot.fr/

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Acknowledgements

This work was supported by ENVAST and the Association of Scientific Research and Innovation in Computer Science “ARSII”. Any opinions, findings, or conclusions found in this paper are those of the authors and do not necessarily reflect the views of our working partners.

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Authors and Affiliations

  1. Higher Institute of Management, University of Sousse, 4000, Sousse, Tunisia

    Siwar Missaoui

  2. Higher Institute of Applied Science and Technology, University of Sousse, 4003, Sousse, Tunisia

    Ahmed Maalel

  3. RIADI Laboratory, National School of Computer Sciences, University of Manouba, 2010, Manouba, Tunisia

    Ahmed Maalel

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  1. Siwar Missaoui
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  2. Ahmed Maalel
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Correspondence to Ahmed Maalel.

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Missaoui, S., Maalel, A. Student’s profile modeling in an adaptive gamified learning environment. Educ Inf Technol 26, 6367–6381 (2021). https://doi.org/10.1007/s10639-021-10628-7

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