Supporting AI-Enhanced Active Online Learning Experiences: A Framework for Design and Assessment

William Cain

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Chapter 23 Supporting AI-Enhanced Active Online Learning Experiences

A Framework for Design and Assessment

In: Handbook of Research in Online Learning

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William Cain

William Cain
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Type:: Chapter

Pages:: 539–551

DOI:: https://doi.org/10.1163/9789004702813_023

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Abstract

This chapter presents a framework for integrating Large Language Models (LLM AI) into active learning. It offers educators a roadmap to harness AI’s capabilities in enhancing learning environments. The process begins with defining clear Student Learning Objectives (SLOs), emphasizing critical thinking, problem-solving, and collaboration in line with active learning principles. It then delves into the design of learning activities, spotlighting LLM AI’s role in active learning experiences such as discussions, role play, and group projects. The chapter emphasizes a balanced approach where AI complements, not replaces, human instruction. An iterative process for refining and implementing these learning experiences ensures alignment with objectives and addresses challenges. The importance of an inclusive learning environment is also highlighted. Accompanying the framework is a visual model detailing its cyclical nature. The chapter provides practical examples from various disciplines and concludes by reflecting on LLM AI’s potential in education and areas for future research, including cognitive, ethical, and social considerations.

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Handbook of Research in Online Learning

Insights and Advances

E-Book ISBN:: 9789004702813

Publisher:: Brill

Print Publication Date:: 25 Sep 2024

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- Education
  - Learning
  - Research Methodology

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Chapter 23 Supporting AI-Enhanced Active Online Learning Experiences

A Framework for Design and Assessment

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Handbook of Research in Online Learning

Insights and Advances

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