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Journal of Computers in Education
Published in: Journal of Computers in Education 1/2022

11-08-2021

A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020

Authors: Nisha S. Raj, V. G. Renumol

Published in: Journal of Computers in Education | Issue 1/2022

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Abstract

In personalized learning, each student gets a customized learning plan according to their pace of learning, instructional preferences, learning objects, etc. Hence the content recommender system in Personalized Learning Environment (PLE) should adapt to learner attributes and suggest appropriate learning resources to aid the learning process and improve the learning outcomes. This systematic literature review aims to analyze and summarize the studies on learning content recommenders in adaptive and personalized learning environments from 2015 to 2020. The publications were searched using proper keywords and filtered using the inclusion and exclusion criteria, which resulted in 52 publications. This paper summarizes the recent trends in research on different aspects of the recommender systems, such as learner attributes, recommendation methods, evaluation metrics, and the usability tests used by the researchers. It is observed that cognitive aspects of learners like learning style, preferences, knowledge level, etc., are used by most studies than non-cognitive aspects as social tags or trust. In most cases, recommendation engines are a hybrid of collaborative filtering, content-based filtering, ontological approaches, etc. All models were evaluated for the correctness of the prediction done, and a few studies have also done evaluations based on learner satisfaction or usability.
previous article Self-directed learning of core vocabulary in English by EFL learners: comparing the outcomes from paper and mobile application flashcards

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Metadata
Title
A systematic literature review on adaptive content recommenders in personalized learning environments from 2015 to 2020
Authors
Nisha S. Raj
V. G. Renumol
Publication date
11-08-2021
Publisher
Springer Berlin Heidelberg
Published in
Journal of Computers in Education / Issue 1/2022
Print ISSN: 2197-9987
Electronic ISSN: 2197-9995
DOI
https://doi.org/10.1007/s40692-021-00199-4

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