Title: An analysis of technological resources to encourage self-regulated learning behaviour in virtual learning environments in the last decade

Authors: Geycy D.O. Lima; Juliete A.R. Costa; Fabiano A. Dorça; Rafael D. Araújo

Addresses: Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas Gerais, Inconfidentes, MG, Brazil ' Instituto Federal de Educação, Ciência e Tecnologia do Sul de Minas Gerais, Carmo de Minas, MG, Brazil ' Faculdade de Computação, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil ' Faculdade de Computação, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil

Abstract: Virtual learning environments have become increasingly intelligent and supplied with individualised resources for a more engaging and effective learning process. In particular, technologies that not only provide support but also encourage self-regulated learning are desirable, as this competence has numerous benefits. Thus, this work presents a systematic literature review to outline an overview of such technologies, considering works published between 2011 and 2020. This paper presents a process for selecting studies based on Cohen's weighted kappa statistic, intending to decrease the inter-rater bias. Results have shown that information visualisation techniques, interactive learning resources, content recommendations, and strategies for feedback have been used in all phases of the self-regulatory process, mainly in higher education. Therefore, this paper intends to provide an overview of the state-of-the-art and give directions on different technologies used to support self-regulatory features in virtual learning environments.

Keywords: self-regulated learning; SRL; virtual learning environments; systematic literature review.

DOI: 10.1504/IJLT.2024.137897

International Journal of Learning Technology, 2024 Vol.19 No.1, pp.85 - 108

Received: 30 Aug 2022
Received in revised form: 24 Jan 2023
Accepted: 28 Feb 2023
Published online: 08 Apr 2024 *

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