A Proposed Learner’s Data Model: Integrating Informal Learning and Enhancing Personalization and Interoperability

Authors

  • Nissrin Nehiri Information Technology and Modeling Systems Research Unit, Abdelmalek Essaâdi University
  • Noura Aknin Information Technology and Modeling Systems Research Unit, Abdelmalek Essaâdi University

DOI:

https://doi.org/10.3991/ijet.v16i08.19833

Keywords:

Informal Learning, Interoperability, Online learning, IMS-LIP, xAPI

Abstract


A learner profile is key to personalize learning content. Nowadays learners use different applications and tools to learn (Formal and informal types). Indeed, the diversity of profiles, their content, their structure, their operation, and the actors concerned, limits possible interoperability. Hence, the need for a rich and an interoperable learner profile that describes all previous learning achievements or experiences. In this work, after a brief analysis of available standards in this area, an approach is proposed to build an interoperable learner model based on xAPI statements that combine the formal and informal experiences to enhance learning analytic and personalization. Then, we present a tool to transform collected data into our XML model proposed based on the IMS-LIP standard, and in the end, we explore his utility.

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Published

2021-04-23

How to Cite

Nehiri, N., & Aknin, N. (2021). A Proposed Learner’s Data Model: Integrating Informal Learning and Enhancing Personalization and Interoperability. International Journal of Emerging Technologies in Learning (iJET), 16(08), pp. 173–187. https://doi.org/10.3991/ijet.v16i08.19833

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Section

Papers