Educational Assessments in the Age of Generative AI

Patrick W. Wachira (Cleveland State University, USA), Xiongyi Liu (Cleveland State University, USA), and Selma Koc (Cleveland State University, USA)

Indexed In: SCOPUS

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Publication Status: E-Book and Print Version Available for Purchase

ISBN13: 9798369363515

ISBN13 Softcover: 9798369363553

EISBN13: 9798369363522

DOI: 10.4018/979-8-3693-6351-5

Description:

The rapid and profound permeation of generative AI technology into all aspects of modern society also changes the landscape of higher education and thus leads to a compelling call to harness the power of AI for transforming higher education. One of the most significant areas of opportunity offered by generative AI is in the assessment of learning. The goal of assessment is to foster learning especially essential for success beyond the classroom, and this can only be possible with well-designed assessments that have the potential for determining whether students have learned the content. By harnessing generative AI, assessments can be designed that have the potential to support inquiry-based learning and foster creativity, all essential for the development of a deeper conceptual understanding of content.

Educational Assessments in the Age of Generative AI contributes to the effort to bring generative AI to the forefront of assessing students’ learning by exploring how the use of generative AI tools and applications can transform and revolutionize assessment practices. Furthermore, it is devoted to exploring the use of AI in assessments to measure knowledge, skills and students’ abilities in order to prepare them for careers in the 21st century. Covering topic including academic integrity, higher education, and mathematics education, this book is an excellent resource for educators, higher education administrators, policymakers, information technology support professionals, tests and assessment developers, researchers, scholars, academicians, professionals, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Academic Integrity
AI-Enhanced Formative Assessment
AI-Powered Writing Prompts
Chinese Language Learning
Educational Assessment
Generative AI
Higher Education
Higher-Order Skills
Inquiry-Based Learning
Management Education
Mathematics Assessment
Mathematics Teaching
Processed-Based Pedagogical Assessment Practices
Writing Classrooms

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The landscape of higher education is changing rapidly. This research provides a roadmap for navigating that change while preserving what matters most - developing students' critical thinking and communication skills. For anyone interested in the future of writing instruction in an AI-augmented world, this chapter offers both theoretical foundations and practical strategies for moving forward.

– Dr. Nathan Pritts (University of Arizona Global Campus, USA)

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Patrick Wachira is a professor in the departments of Mathematics and Teacher Education at Cleveland State University, USA. His teaching experience includes teaching mathematics content and Mathematics education courses for prospective teachers. His main research interests are in the preparation of teachers to teach mathematics in a way that develops understanding facilitated by appropriate and effective integration of technology in learning. Dr. Wachira has co-authored several books focused on technology and assessment in education.

Xiongyi Liu is Associate Professor of Educational Psychology and Research Methods in the Department of Curriculum and Foundations at Cleveland State University, USA. Dr. Liu received a Ph.D. in Educational Psychology from University of Nebraska-Lincoln and previously held a research professor position at University of Maine-Orono. Her research interests include computer-supported collaborative learning, serious games in STEM education, self-regulation and motivation, and technology-facilitated interventions for children with autism spectrum disorder. Dr. Liu has established international collaborations in many of her research endeavors.

Selma Koc is an associate professor of educational technology at Cleveland State University. Her teaching experience includes educational technology, educational psychology and summer institute programs for gifted and talented high school students. Her research interests are in the areas of online learning and assessment, instructional design and development, technology planning and integration in K-12 and higher education

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