Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study

Autor/inn/en	de Andrade, Tiago Luís; Rigo, Sandro José; Barbosa, Jorge Luis Victória
Titel	Active Methodology, Educational Data Mining and Learning Analytics: A Systematic Mapping Study
Quelle	In: Informatics in Education, 20 (2021) 2, S.171-203 (33 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1648-5831
Schlagwörter	Learning Analytics; Distance Education; Dropout Prevention; Data Analysis; Active Learning; Virtual Classrooms; Dropouts; Educational Research + Suchen Sie Ihr Suchwort? Distance study; Distance learning; Fernunterricht; Auswertung; Aktives Lernen; Drop-out; Drop-outs; Dropout; Early leavers; Schulversagen; Bildungsforschung; Pädagogische Forschung
Abstract	Distance Learning has enabled educational practices based on digital platforms, generating massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly providing teacher support about student behavior. Approaches such as Active Methodologies are known as having good potential to involve and motivate students. This article presents a systematic mapping aiming to identify current Educational Data Mining and Learning Analytics methods. Besides, we identify Active Methodologies' application to mitigate dropout in Distance Learning. We evaluated 668 papers published from January 2015 to March 2020. The results indicate a growing application of Educational Data Mining and Learning Analytics to identify and mitigate students' abandonment in Distance Learning. However, studies with Active Methodologies to minimize dropout and enhance student permanence are scarce. Some works suggest Active Methods as a possible complement of Learning Analytics in dropout. [Note: The page range (171-204) shown on the PDF is incorrect. The correct page range is p171-203.] (As Provided).
Anmerkungen	Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01