The PERLA Framework: Blending Personalization and Learning Analytics
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 opportuni...
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Athabasca University Press
2019
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oai:doaj.org-article:01b337a207b648618a2540e169a9b56c2021-12-02T19:25:48ZThe PERLA Framework: Blending Personalization and Learning Analytics10.19173/irrodl.v20i1.39361492-3831https://doaj.org/article/01b337a207b648618a2540e169a9b56c2019-02-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/3936https://doaj.org/toc/1492-3831Personalization 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. Mohamed Amine ChattiArham MuslimAthabasca University Pressarticlepersonalizationself-regulated learninguser-centered learning analyticslearning analytics reference modelgoal-oriented learning analyticsSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 20, Iss 1 (2019) |
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DOAJ |
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DOAJ |
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EN |
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personalization self-regulated learning user-centered learning analytics learning analytics reference model goal-oriented learning analytics Special aspects of education LC8-6691 |
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personalization self-regulated learning user-centered learning analytics learning analytics reference model goal-oriented learning analytics Special aspects of education LC8-6691 Mohamed Amine Chatti Arham Muslim The PERLA Framework: Blending Personalization and Learning Analytics |
description |
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.
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format |
article |
author |
Mohamed Amine Chatti Arham Muslim |
author_facet |
Mohamed Amine Chatti Arham Muslim |
author_sort |
Mohamed Amine Chatti |
title |
The PERLA Framework: Blending Personalization and Learning Analytics |
title_short |
The PERLA Framework: Blending Personalization and Learning Analytics |
title_full |
The PERLA Framework: Blending Personalization and Learning Analytics |
title_fullStr |
The PERLA Framework: Blending Personalization and Learning Analytics |
title_full_unstemmed |
The PERLA Framework: Blending Personalization and Learning Analytics |
title_sort |
perla framework: blending personalization and learning analytics |
publisher |
Athabasca University Press |
publishDate |
2019 |
url |
https://doaj.org/article/01b337a207b648618a2540e169a9b56c |
work_keys_str_mv |
AT mohamedaminechatti theperlaframeworkblendingpersonalizationandlearninganalytics AT arhammuslim theperlaframeworkblendingpersonalizationandlearninganalytics AT mohamedaminechatti perlaframeworkblendingpersonalizationandlearninganalytics AT arhammuslim perlaframeworkblendingpersonalizationandlearninganalytics |
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1718376536585797632 |