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Artificial General Intelligence (AGI) and Large Language Models (LLMs) represent a transformative force in education, offering both promise and complexity. This paper investigates innovative approaches to harness the potential of AI for engaging teaching, interactive learning, and adaptive assessment in higher education. The paper introduces a comprehensive decision-making framework tailored for universities, enabling them to navigate the evolving landscape of AGI technologies while enhancing the experiences of students and faculty. By emphasizing adaptive strategies for AI-powered assessment and engaging pedagogy, this chapter addresses the practical integration of AI within higher education settings. Through a lens of adoption practices, the framework explores opportunities and challenges associated with the flourishing role of LLMs, and more broadly, multi-modal AI, to pave the way for a forward-looking educational era.

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Leveraging AI in Higher Education: Contemporary Approaches for Teaching, Learning, and Assessment Design

  • 章节

  • 发表日期：

    2026年

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  • Karim J. Mualla,
  • Wael Mualla

摘要

Artificial General Intelligence (AGI) and Large Language Models (LLMs) represent a transformative force in education, offering both promise and complexity. This paper investigates innovative approaches to harness the potential of AI for engaging teaching, interactive learning, and adaptive assessment in higher education. The paper introduces a comprehensive decision-making framework tailored for universities, enabling them to navigate the evolving landscape of AGI technologies while enhancing the experiences of students and faculty. By emphasizing adaptive strategies for AI-powered assessment and engaging pedagogy, this chapter addresses the practical integration of AI within higher education settings. Through a lens of adoption practices, the framework explores opportunities and challenges associated with the flourishing role of LLMs, and more broadly, multi-modal AI, to pave the way for a forward-looking educational era.