Emotional Learning Analytics in Education: Current Status, Trends, and Challenges

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Author(s): Kyriaki A. Tychola (MLV Research Group, Department of Informatics, Democritus University of Thrace, Kavala, Greece), Eleni Vrochidou (MLV Research Group, Department of Informatics, Democritus University of Thrace, Kavala, Greece)and George A. Papakostas (MLV Research Group, Department of Informatics, Democritus University of Thrace, Kavala, Greece)
Copyright: 2025
Pages: 46
Source title: Utilizing Emotional Experience for Best Learning Design Practices
Source Author(s)/Editor(s): Sarah Sniderman (Learning Codes Inc., Canada)
DOI: 10.4018/979-8-3693-2663-3.ch004

Keywords: Curriculum Development and Instructional Design / Human Behavior & Psychology / Information Science Reference / Social Sciences & Humanities

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Abstract

Learning Analytics (LA) are constantly evolving in the analysis and representation of data related to learners and educators to improve the learning and education process. Data obtained by sensors or questionnaires are processed employing new technologies. The emotional experiences of learners constitute a significant factor in the assimilation of knowledge about the learning process. The emerging technology of Emotional Learning Analytics (ELA) is increasingly being considered in educational settings. In this work, the significance and contribution of ELA in educational data processing are discussed as an integral part of designing and implementing computational models reflecting the learning process. In addition, a comprehensive overview of different methods and techniques for both LA and ELA is provided, while a conceptual model of ELA is proposed in parallel. Moreover, advantages, disadvantages, and challenges are highlighted. The final focus of the chapter is on ethical issues and future research directions.

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Emotional Learning Analytics in Education: Current Status, Trends, and Challenges

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