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Autor/inn/enTlili, Ahmed; Essalmi, Fathi; Jemni, Mohamed; Kinshuk; Chen, Nian-Shing
TitelA Complete Validated Learning Analytics Framework: Designing Issues from Data Preparation Perspective
QuelleIn: International Journal of Information and Communication Technology Education, 14 (2018) 2, S.1-16, Artikel 1 (16 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1550-1876
DOI10.4018/IJICTE.2018040101
SchlagwörterOnline Courses; Data Analysis; Learning Experience; Instructional Effectiveness; Guidelines; Instructional Design; Educational Improvement; Student Attitudes; Teacher Attitudes; Specialists; Feedback (Response)
AbstractWith the rapid growth of online education in recent years, Learning Analytics (LA) has gained increasing attention from researchers and educational institutions as an area which can improve the overall effectiveness of learning experiences. However, the lack of guidelines on what should be taken into consideration during application of LA hinders its full adoption. Therefore, this article investigates the issues that should be considered when approaching the design of LA experiences from the data preparation perspective. The obtained results highlight a validated LA framework of twenty-two designing issues that should be considered by various stakeholders in different contexts as well as a set of guidelines which can enhance designing LA experiences. (As Provided).
AnmerkungenIGI Global. 701 East Chocolate Avenue, Hershey, PA 17033. Tel: 866-342-6657; Tel: 717-533-8845; Fax: 717-533-8661; Fax: 717-533-7115; e-mail: journals@igi-global.com; Web site: https://www.igi-global.com/journals/
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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