A Modular and Extensible Framework for Open Learning Analytics

Autor/inn/en	Muslim, Arham; Chatti, Mohamed Amine; Bashir, Muhammad Bassim; Barrios Varela, Oscar Eduardo; Schroeder, Ulrik
Titel	A Modular and Extensible Framework for Open Learning Analytics
Quelle	In: Journal of Learning Analytics, 5 (2018) 1, S.92-100 (9 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1929-7750
Schlagwörter	Data Analysis; Learning; Models; Design; Program Implementation; Evaluation Methods; Visual Aids + Suchen Sie Ihr Suchwort? Auswertung; Lernen; Analogiemodell; Anschauungsmaterial
Abstract	Open Learning Analytics (OLA) is an emerging concept in the field of Learning Analytics (LA). It deals with learning data collected from multiple environments and contexts, analyzed with a wide range of analytics methods to address the requirements of different stakeholders. Due to this diversity in different dimensions of OLA, the LA developers and researchers face numerous challenges while designing solutions for OLA. The Open Learning Analytics Platform (OpenLAP) is a framework that addresses these issues and lays the foundation for an ecosystem of OLA that aims at supporting learning and teaching in fragmented, diverse, and networked learning environments. It follows a user-centric approach to engage end users in flexible definition and dynamic generation of personalized indicators. In this paper, we address a subset of OLA challenges and present the conceptual and implementation details of the analytics framework component of OpenLAP, which follows a flexible architecture that allows the easy integration of new analytics methods and visualization techniques in OpenLAP to support end users in defining indicators based on their needs in order to embed the results into their personal learning environment. (As Provided).
Anmerkungen	Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01