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The Power and Perils of AI-Driven Assessment in Higher Education
1
Zitationen
1
Autoren
2025
Jahr
Abstract
Over the past decade, Artificial Intelligence in Education (AIEd) has gained momentum and recently sparked considerable interest in higher education (Crompton & Burke, 2022; Crompton & Song, 2021). During that time, scholars like Chen, Chen, and Lin (2020) have highlighted diverse applications of AI, including the potential to customize learning experiences and enhance educational outcomes. Among the wide variety of educational applications of AI is assessment and evaluation. This chapter explores the current state of AI in educational assessment in higher education by examining its benefits, challenges, and ethical considerations. Frameworks such as the Always Center Educators (ACE) Model, the PATRR Prompt Engineering Framework, and the Key Ethical Decision Points Flowchart are presented to guide ethical and effective implementation. In addition, various applications of AI in higher education assessment, including creating assessment materials, providing personalized feedback, streamlining grading processes, and facilitating peer review are discussed.
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