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Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid

Abstract : The analysis of remote discussions is not yet at the same level as the face-to-face ones. The present paper aspires twofold. On the one hand, it attempts to establish a suitable environment of interaction and collaboration among learners by using the speech acts via a semi structured synchronous communication tool. On the other, it aims to define behavioral profiles and interpersonal skills hybrid grid by matching the BALES' IPA and PLETY's analysis system. By applying the fuzzy logic, we formalize human reasoning and, thus, giving very appreciable flexibility to the reasoning that use it, which makes it possible to take into account imprecisions and uncertainties. In addition, the educational data mining techniques are used to optimize the mapping of behaviors to learner's profile, with similarity-based clustering, using Eros and PCA measures. In order to show the validity of our system, we performed an experiment on real-world data. The results show, among others: (1) the usefulness of fuzzy logic to properly translate the profile text descriptions into a mathematical format, (2) an irregularity in the behavior of the learners, (3) the correlation between the profiles, (4) the superiority of Eros method to the PCA factor in precision.
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Contributor : Mahieddine Djoudi Connect in order to contact the contributor
Submitted on : Thursday, September 30, 2021 - 6:07:14 PM
Last modification on : Wednesday, December 22, 2021 - 9:06:02 AM
Long-term archiving on: : Friday, December 31, 2021 - 7:39:37 PM


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Chabane Khentout, Khadidja Harbouche, Mahieddine Djoudi. Learner to learner fuzzy profiles similarity using a hybrid interaction analysis grid. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, Lavoisier, 2021, 26 (4), pp.375-386. ⟨10.18280/isi.260405⟩. ⟨hal-03359486⟩



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