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Leveraging Artificial Intelligence Techniques for Effective Scaffolding of Personalized Learning in Workplaces

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Artificial Intelligence Education in the Context of Work

Part of the book series: Advances in Analytics for Learning and Teaching ((AALT))

Abstract

As modern Artificial Intelligence (AI) techniques continue to penetrate many aspects of our lives, there is growing interest in the adoption of AI in education and how learning can be supported through AI. This chapter examines the topic of leveraging AI for personalized learning in workplaces. The chapter first explores the literature on adult learning and adaptive (personalized) scaffolding. An in-depth review and analysis of recent research, which can be used towards enabling AI-based scaffolding, is provided. Based on this literature review, a set of design guidelines are proposed, and a design prototype of an AI-based scaffolding learning environment for adults at workplaces is developed. Key features of this learning environment are: (1) It includes a wide range of authentic problems which are relatable and can be encountered by adults in workplace contexts, (2) it leverages developments in AI and natural language processing (NLP) for evaluating learners’ responses to problems and modeling learners’ knowledge levels, and (3) it makes learning personalized and self-directed by providing appropriate scaffolding through AI-based mechanisms. In the discussion, several aspects of the design prototype are examined, and future implications of this design are analyzed.

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Umutlu, D., Gursoy, M.E. (2022). Leveraging Artificial Intelligence Techniques for Effective Scaffolding of Personalized Learning in Workplaces. In: Ifenthaler, D., Seufert, S. (eds) Artificial Intelligence Education in the Context of Work. Advances in Analytics for Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-031-14489-9_4

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