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Learning preference: development in smart learning environments

Learning preference: development in smart learning environments The purpose of this study is to conduct a systematic review to understand state-of-art research related to learning preferences from the aspects of impacts, influential factors and evaluation methods.Design/methodology/approachThis paper uses the systematic synthesis method to provide state-of-the-art knowledge on learning preference research by summarizing published studies in major databases and attempting to aggregate and reconcile the scientific results from the individual studies. The findings summarize aggregated research efforts and improve the quality of future research.FindingsAfter analyzing existing literature, this study proposed three possible research directions in the future. First, researchers might focus on how to use the real-time tracking mechanism to further understand other impacts of learning preferences within the learning environments. Second, existing studies mainly focused on the influence of singular factors on learning preferences. The joint effects of multiple factors should be an important topic for future research. Finally, integrated algorithms might become the most popular evaluation method of learning preference in the era of smart learning environments.Research limitations/implicationsThis review used the search results generated by Google Scholar and Web of Science databases. There might be published papers available in other databases that have not been taken into account.Originality/valueThe research summarizes the state-of-art research related to learning preferences. This paper is one of the first to discuss the development of learning preference research in smart learning environments. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Discovery and Delivery Emerald Publishing

Learning preference: development in smart learning environments

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References (77)

Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2398-6247
DOI
10.1108/idd-07-2020-0080
Publisher site
See Article on Publisher Site

Abstract

The purpose of this study is to conduct a systematic review to understand state-of-art research related to learning preferences from the aspects of impacts, influential factors and evaluation methods.Design/methodology/approachThis paper uses the systematic synthesis method to provide state-of-the-art knowledge on learning preference research by summarizing published studies in major databases and attempting to aggregate and reconcile the scientific results from the individual studies. The findings summarize aggregated research efforts and improve the quality of future research.FindingsAfter analyzing existing literature, this study proposed three possible research directions in the future. First, researchers might focus on how to use the real-time tracking mechanism to further understand other impacts of learning preferences within the learning environments. Second, existing studies mainly focused on the influence of singular factors on learning preferences. The joint effects of multiple factors should be an important topic for future research. Finally, integrated algorithms might become the most popular evaluation method of learning preference in the era of smart learning environments.Research limitations/implicationsThis review used the search results generated by Google Scholar and Web of Science databases. There might be published papers available in other databases that have not been taken into account.Originality/valueThe research summarizes the state-of-art research related to learning preferences. This paper is one of the first to discuss the development of learning preference research in smart learning environments.

Journal

Information Discovery and Delivery – Emerald Publishing

Published: May 20, 2021

Keywords: Context-awareness; Influential factors; Evaluation methods; Impacts of learning preferences; Learning preference; Smart learning environment

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