Assessment and Feedback in the AI-support Classroom

Collaborative AI - Artificial Intelligence, Expertise, and Pedagogy in CALL Research and Practice - Joshua M. Paiz

Joshua M. Paiz [+-]
George Washington University
Joshua M. Paiz is a Teaching Assistant Professor in the English for Academic Purposes Program at George Washington University.

Description

Chapter 5 focuses on the role of AI in assessment and feedback within the English Language Teaching context. It highlights AI-driven assessment tools and techniques, such as automated essay scoring systems and adaptive quizzes, that can provide timely, personalized feedback to students. The chapter also explores how AI can enhance the traditional feedback process by assisting teachers in identifying areas for improvement, enabling more targeted and practical guidance, and helping to manage teacher workloads in humane ways that support teacher well-being and student learning. By leveraging AI in assessment and feedback, educators can better support student learning and progress throughout the language acquisition journey.

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Citation

Paiz, Joshua. Assessment and Feedback in the AI-support Classroom. Collaborative AI - Artificial Intelligence, Expertise, and Pedagogy in CALL Research and Practice. Equinox eBooks Publishing, United Kingdom. Jun 2025. ISBN 9781000000000. https://www.equinoxpub.com/home/view-chapter/?id=45000. Date accessed: 22 Feb 2024 doi: 10.1558/equinox.45000. Jun 2025

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