This chapter delves into the transformative potential of AI generative tools, such as ChatGPT and GPT-4, in higher education institutions (HEIs). Leveraging advanced deep-learning models like the Transformer algorithm, these tools generate text, images, and audio, significantly enhancing teaching and learning experiences. Despite their capabilities, human validation remains essential to mitigate errors. The integration of AI tools in HEIs can enrich student learning outcomes, promote critical thinking, and streamline teaching processes. However, this integration presents challenges, including concerns about academic integrity and the potential impact on higher-order thinking skills. This chapter reviews the benefits, challenges, and strategies for effective AI tool integration in educational settings. It also highlights various pedagogical approaches, including assignment design, assessment criteria, self and peer assessment, and the use of learning portfolios to evaluate student learning outcomes. The chapter underscores the importance of maintaining academic integrity, addressing ethical considerations, and fostering a balanced approach to enhance both teaching efficacy and student learning in an AI-driven world.

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Pedagogies Involving the Use of AI Generative Tools for Teaching and Learning in Higher Education Institutions

  • Eric C. K. Cheng

摘要

This chapter delves into the transformative potential of AI generative tools, such as ChatGPT and GPT-4, in higher education institutions (HEIs). Leveraging advanced deep-learning models like the Transformer algorithm, these tools generate text, images, and audio, significantly enhancing teaching and learning experiences. Despite their capabilities, human validation remains essential to mitigate errors. The integration of AI tools in HEIs can enrich student learning outcomes, promote critical thinking, and streamline teaching processes. However, this integration presents challenges, including concerns about academic integrity and the potential impact on higher-order thinking skills. This chapter reviews the benefits, challenges, and strategies for effective AI tool integration in educational settings. It also highlights various pedagogical approaches, including assignment design, assessment criteria, self and peer assessment, and the use of learning portfolios to evaluate student learning outcomes. The chapter underscores the importance of maintaining academic integrity, addressing ethical considerations, and fostering a balanced approach to enhance both teaching efficacy and student learning in an AI-driven world.