Literaturnachweis - Detailanzeige
Autor/inn/en | Chatti, Mohamed Amine; Muslim, Arham |
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Titel | The PERLA Framework: Blending Personalization and Learning Analytics |
Quelle | In: International Review of Research in Open and Distributed Learning, 20 (2019) 1, S.243-261 (19 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1492-3831 |
Schlagwörter | Guidelines; Data Analysis; Learning Experience; Metacognition; Goal Orientation; Learning Strategies; Learning Activities; Data Collection; Online Courses; Social Media; Computer Assisted Instruction; Learning Processes; Lifelong Learning; Distance Education; Independent Study; Privacy; Comparative Analysis Richtlinien; Auswertung; Lernerfahrung; Meta cognitive ability; Meta-cognition; Metakognitive Fähigkeit; Metakognition; Zielorientierung; Zielvorstellung; Learning methode; Learning techniques; Lernmethode; Lernstrategie; Lernaktivität; Data capture; Datensammlung; Online course; Online-Kurs; Soziale Medien; Computer based training; Computerunterstützter Unterricht; Learning process; Lernprozess; Life-long learning; Lebenslanges Lernen; Distance study; Distance learning; Fernunterricht; Selbststudium; Privatsphäre |
Abstract | Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing insights and understanding into how learners learn and supporting customized learning experiences that meet their goals and needs. This paper discusses the Personalization and Learning Analytics (PERLA) framework which represents the convergence of personalization and learning analytics and provides a theoretical foundation for effective analytics-enhanced personalized learning. The main aim of the PERLA framework is to guide the systematic design and development of effective indicators for personalized learning. (As Provided). |
Anmerkungen | Athabasca University. 1200, 10011 - 109 Street, Edmonton, AB T5J 3S8, Canada. Tel: 780-421-2536; Fax: 780-497-3416; e-mail: irrodl@athabascau.ca; Web site: http://www.irrodl.org |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |