Enhancing Personalised Learning and Student Engagement Using Generative AI

Adebowale Owoseni (), Oluwaseun Kolade () and Abiodun Egbetokun
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Adebowale Owoseni: De Montfort University
Oluwaseun Kolade: Sheffield Hallam University

Chapter Chapter 5 in Generative AI in Higher Education, 2024, pp 123-150 from Springer

Abstract: Abstract This chapter explores how generative AI (GenAI) technologies like ChatGPT can significantly increase student engagement in specific contexts with practical illustrations, such as utilising ChatGPT to generate adaptable learning materials, personalised study plans, and interactive educational tools to meet individual learning requirements. Firstly, the chapter draws on the Universal Design for Learning (UDL) framework, focusing on its core principles: engagement, representation, and action and expression. These principles aim to support the diverse needs of learners by providing multiple ways of engaging with content, representing information, and expressing knowledge. It then presents two common situations: (1) students’ learning disability and (2) language barrier, in which student could benefit from personalised learning approach. Secondly, through practical examples, including the creation of tailored content for a dyslexic student and a board game for teaching and learning the concept of “digital transformation” inclusively, the chapter demonstrates the transformative potential of ChatGPT in personalised learning. The chapter concludes by emphasising the importance of personalised and inclusive learning environments. While acknowledging ChatGPT's limitations as an ideation tool that requires precise commands, it also points out its potential, when used responsibly, to make education more adaptive, engaging, and inclusive. The discussion stresses that, although ChatGPT is not a substitute for educators, it is an asset in the effort to create more dynamic and responsive teaching and learning experiences.

Keywords: Personalised learning; Student engagement; Higher education; Generative AI; Digital transformation board game; ChatGPT (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-60179-8_5

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DOI: 10.1007/978-3-031-60179-8_5

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