Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations. A pedagogical and technical perspective
Hasan Abu-Rasheed, Christian Weber, Madjid Fathi

TL;DR
This survey reviews how contextual indicators are used in personalized learning recommendations, emphasizing pedagogical and technical perspectives to improve learner engagement and outcomes.
Contribution
It provides a comprehensive overview of learning contexts, their definitions, factors, and pedagogical foundations, bridging pedagogical and technical approaches in contextualized learning.
Findings
Various definitions and factors of learning context are identified.
Links between context factors and learning theories are analyzed.
The survey highlights gaps between pedagogical and technical perspectives.
Abstract
Learning personalization has proven its effectiveness in enhancing learner performance. Therefore, modern digital learning platforms have been increasingly depending on recommendation systems to offer learners personalized suggestions of learning materials. Learners can utilize those recommendations to acquire certain skills for the labor market or for their formal education. Personalization can be based on several factors, such as personal preference, social connections or learning context. In an educational environment, the learning context plays an important role in generating sound recommendations, which not only fulfill the preferences of the learner, but also correspond to the pedagogical goals of the learning process. This is because a learning context describes the actual situation of the learner at the moment of requesting a learning recommendation. It provides information…
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