Applications of Generative AI in Formative Learning and Assessment

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

Chapter Chapter 3 in Generative AI in Higher Education, 2024, pp 63-95 from Springer

Abstract: Abstract This chapter explores the use of Generative AI (GenAI) for formative learning and assessment, highlighting its advantages in the context of resource and time demands of implementation in the absence of GenAI. The chapter therefore discusses a number of techniques and approaches through which GenAI can be deployed for interactive feedforward and unlimited feedback, freeing up time for human tutors to focus on more creative tasks. These include the use of customised formative interactive quizzes trained with specific instructional materials to facilitate learners grasp of key concepts; the use of learner-led formative dialogues for deep-learning; and the exploration of more challenging topics and concepts. The chapter also provides examples of GenAI use in exploring ideas in learners’ native language, a topic that is of particular relevance for international students. Finally, the chapter discusses the application of GenAI in computer serious games and their benefits for immersive learning and simulations of real-world situations. Across the chapter’s use cases and examples, there is a strong emphasis on personalised learning and the opportunities offered by GenAI to tailor and then adjust learning and assessment materials in line with learners’ need and progression.

Keywords: Formative learning; Personalised learning; Deep dialogues; Computer serious games; Simulations; Languaging (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_3

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DOI: 10.1007/978-3-031-60179-8_3

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