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Advancing Inquiry-Based Learning Through Generative AI-Enabled Assessments

Advancing Inquiry-Based Learning Through Generative AI-Enabled Assessments
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Author(s): Muhammad Usman Tariq (Abu Dhabi University, UAE & University College Cork, Ireland)
Copyright: 2025
Pages: 28
Source title: Educational Assessments in the Age of Generative AI
Source Author(s)/Editor(s): Patrick W. Wachira (Cleveland State University, USA), Xiongyi Liu (Cleveland State University, USA)and Selma Koc (Cleveland State University, USA)
DOI: 10.4018/979-8-3693-6351-5.ch007

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Abstract

This chapter explores the transformative impact of generative artificial intelligence on inquiry-based learning in educational assessment. Generative AI technologies have revolutionized traditional assessment methods, enabling dynamic, individualized learning experiences that meet individual student needs. By harnessing the power of artificial intelligence, teachers can create assessments that promote critical thinking, conceptual understanding, and deeper engagement with content. The chapter begins with an overview of the theoretical foundations of generative artificial intelligence and its integration into educational frameworks such as constructivism and technology-enhanced learning. It discusses practical applications of artificial intelligence in creating dynamic assessment environments. Examples include tools like Knewton and MATH from Carnegie Learning, which adapt learning methods based on student performance.

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