Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence

Feedback may be an effective interaction provided by the intelligent tutoring system. Nevertheless, the learning feedback is not easily definable, especially in front of learners with their characteristics and preferences. In this work, the authors propose to predict personalized feedback in a progr...

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Autores principales:	Fatima-Zohra Hibbi, Otman Abdoun, El Khatir Haimoudi
Formato:	article
Lenguaje:	EN
Publicado:	Kassel University Press 2021
Materias:	intelligent tutoring system feedback machine learning Education L Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/f67f085be0b143a9bed93ee8e5e422bd
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id	oai:doaj.org-article:f67f085be0b143a9bed93ee8e5e422bd
record_format	dspace
spelling	oai:doaj.org-article:f67f085be0b143a9bed93ee8e5e422bd2021-12-02T19:24:24ZSmart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence1863-038310.3991/ijet.v16i20.24783https://doaj.org/article/f67f085be0b143a9bed93ee8e5e422bd2021-10-01T00:00:00Zhttps://online-journals.org/index.php/i-jet/article/view/24783https://doaj.org/toc/1863-0383Feedback may be an effective interaction provided by the intelligent tutoring system. Nevertheless, the learning feedback is not easily definable, especially in front of learners with their characteristics and preferences. In this work, the authors propose to predict personalized feedback in a programming language learning context that promotes the feedback of the ITS according to the learner preferences and learner style. The recommended method uses a combination of machine learning techniques to suggest the best appropriate feedback according to learner’s preferences and characteristics. For that purpose, the predictive personalized feedback method will respect the following phases: collect the learning experience from the learning resources (LR) and learner preferences (LP), generate groups of clusters that contain the common characteristics using the k-means algorithm, and define the association rules between the four categories and their corresponding activity. Finally, generate the personalized feedback and propose the recommendation through the intervention of an expert in the field.Fatima-Zohra HibbiOtman AbdounEl Khatir HaimoudiKassel University Pressarticleintelligent tutoring systemfeedbackmachine learningEducationLInformation technologyT58.5-58.64ENInternational Journal of Emerging Technologies in Learning (iJET), Vol 16, Iss 20, Pp 263-268 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	intelligent tutoring system feedback machine learning Education L Information technology T58.5-58.64
spellingShingle	intelligent tutoring system feedback machine learning Education L Information technology T58.5-58.64 Fatima-Zohra Hibbi Otman Abdoun El Khatir Haimoudi Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence
description	Feedback may be an effective interaction provided by the intelligent tutoring system. Nevertheless, the learning feedback is not easily definable, especially in front of learners with their characteristics and preferences. In this work, the authors propose to predict personalized feedback in a programming language learning context that promotes the feedback of the ITS according to the learner preferences and learner style. The recommended method uses a combination of machine learning techniques to suggest the best appropriate feedback according to learner’s preferences and characteristics. For that purpose, the predictive personalized feedback method will respect the following phases: collect the learning experience from the learning resources (LR) and learner preferences (LP), generate groups of clusters that contain the common characteristics using the k-means algorithm, and define the association rules between the four categories and their corresponding activity. Finally, generate the personalized feedback and propose the recommendation through the intervention of an expert in the field.
format	article
author	Fatima-Zohra Hibbi Otman Abdoun El Khatir Haimoudi
author_facet	Fatima-Zohra Hibbi Otman Abdoun El Khatir Haimoudi
author_sort	Fatima-Zohra Hibbi
title	Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence
title_short	Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence
title_full	Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence
title_fullStr	Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence
title_full_unstemmed	Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence
title_sort	smart tutoring system: a predictive personalized feedback in a pedagogical sequence
publisher	Kassel University Press
publishDate	2021
url	https://doaj.org/article/f67f085be0b143a9bed93ee8e5e422bd
work_keys_str_mv	AT fatimazohrahibbi smarttutoringsystemapredictivepersonalizedfeedbackinapedagogicalsequence AT otmanabdoun smarttutoringsystemapredictivepersonalizedfeedbackinapedagogicalsequence AT elkhatirhaimoudi smarttutoringsystemapredictivepersonalizedfeedbackinapedagogicalsequence
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Smart Tutoring System: A Predictive Personalized Feedback in a Pedagogical Sequence

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