A Complete Validated Learning Analytics Framework: Designing Issues from Data Use Perspective

Autor/inn/en	Tlili, Ahmed; Essalmi, Fathi; Jemni, Mohamed; Kinshuk, P.; Chen, Nian-Shing
Titel	A Complete Validated Learning Analytics Framework: Designing Issues from Data Use Perspective
Quelle	In: International Journal of Information and Communication Technology Education, 15 (2019) 3, S.42-59, Artikel 4 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Jemni, Mohamed)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1550-1876
DOI	10.4018/IJICTE.2019070104
Schlagwörter	Learning Analytics; Data Use; Design Requirements; Validity + Suchen Sie Ihr Suchwort? Design preferences; Gestaltungsmittel; Gültigkeit
Abstract	Advances in technology have given the learning analytics (LA) area further potential to enhance the learning process by using methods and techniques that harness educational data. However, the lack of guidelines on what should be taken into considerations during application of LA hinders its full adoption. Therefore, this article investigates the issues that should be considered during the design of LA experience from the data use perspective. The results obtained present a validated LA framework which is composed of eighteen validated key issues that should be considered by various stake holders in their contexts to enhance designing LA experiences. This framework can also be used by researchers and practitioners to learn more about LA and its designing issues. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01