Learner Modelling: Systematic Review of the Literature from the Last 5 Years

Autor/inn/en	Abyaa, Abir; Khalidi Idrissi, Mohammed; Bennani, Samir
Titel	Learner Modelling: Systematic Review of the Literature from the Last 5 Years
Quelle	In: Educational Technology Research and Development, 67 (2019) 5, S.1105-1143 (39 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Abyaa, Abir)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1042-1629
DOI	10.1007/s11423-018-09644-1
Schlagwörter	Learning Processes; Models; Electronic Learning; Literature Reviews; Student Characteristics + Suchen Sie Ihr Suchwort? Learning process; Lernprozess; Analogiemodell
Abstract	The field of adaptive e-learning is continuously developing. More research is being conducted in this area as adaptive e-learning aims to provide learners with adaptive learning paths and content, according to their individual characteristics and needs, which makes e-learning more efficient and effective. The learner model, which is a representation of different learner's characteristics, plays a key role in this adaptation. This paper presents a systematic literature review about learner modelling during the last 5 years, describing the different modelled characteristics and the adopted modelling techniques and modeling types: automatic modeling and collaborative modeling. 107 publications were selected and analyzed, and six categories of the modelled characteristics were identified. This literature review contributes to the identification of the learners' individual traits and presents the most used modelling techniques for each of them. It also identifies the latest research trends of Learner Modeling and generates future research directions in this field. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01