Unleashing the Potential: Positive Impacts of Generative AI on Learning and Teaching

Unleashing the Potential: Positive Impacts of Generative AI on Learning and Teaching

Copyright: © 2024 |Pages: 15
DOI: 10.4018/979-8-3693-0074-9.ch002
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Abstract

Generative artificial intelligence, anchored by large language models (LLMs), is significantly altering the educational landscape. This chapter examines the impact of generative AI on education, illustrating its capability to create personalized content and transform learning environments. Despite concerns over academic dishonesty facilitated by LLMs, the chapter argues against a regressive stance and advocates for the constructive integration of AI into educational practices. By drawing on theories of learning, the chapter elucidates the pedagogical implications of generative AI and describes specific use cases in language learning, computer science, and mathematics. Highlighting both the potential and limitations of this emerging technology, the chapter posits that generative AI is not merely a disruptive force, but a revolutionary tool poised to redefine the methodologies of teaching and learning.
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2. Theories Of Learning Relating To Generative Ai

Teachers tend to draw eclectically from a range of techniques and strategies, often without explicitly adhering to a single underpinning theory (Moreira dos Santos, 2020). Individual teachers cultivate their own teaching philosophies, shaped by experience, context, and the unique needs of their students. These philosophies may be formally codified into a teaching philosophy statement or may be more nebulous and simply exist in the mind of the educator (Fitzmaurice & Coughlan, 2007). However, it is useful to understand the four main learning theories that have historically informed educational practices: behaviorism, cognitivism, constructivism and social constructivism (Adams, 2006; Bredo, 1997; Tomic, 1993).

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