Learning Analytics for Smart Classrooms

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Author(s): Cèlia Llurba (University Rovira i Virgili, Spain), Ramon Palau (University Rovira i Virgili, Spain)and Jordi Mogas (University Rovira i Virgili, Spain)
Copyright: 2023
Pages: 15
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch103

Keywords: Data Analysis and Statistics / Engineering Science Reference / Knowledge Management and Library Science / Machine Learning

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Abstract

The main objective of this study is to use content analysis to explore the characteristics and trends on learning analytics (LA) in smart classrooms (SC). Articles related to the main topic introduce an overview of LA, understanding its meaning and the main characteristics, as well as highlighting the benefits of how LA can be used as a provided tool which assists teachers' and students' practice and how it can help teachers to think and make decisions related to teaching and the learning process. Considering LA can improve learning and provide assistance for at-risk or underachieving learners, the article also researches what experiences have been applied about LA in SC. In addition, most of the studies found referring to data collection do so either on different platforms such as the learning management system, content management system, or have relevant information on gesture-based learning studies and record body language and facial expressions such as capture of movements, gestures, and gazes, whose purpose is to evaluate behaviour in a SC to enhance students' performance.

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