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Assessment and Feedback in the AI-support Classroom


 
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1. Title Title of document Assessment and Feedback in the AI-support Classroom - Collaborative AI
 
2. Creator Author's name, affiliation, country Joshua Paiz; George Washington University;
 
3. Subject Discipline(s) Linguistics
 
4. Subject Keyword(s) Summative Assessment; Formative Assessment; Generative AI; Assistive AI; Student Learning; Language Acquisition
 
5. Subject Subject classification English Language Teaching
 
6. Description Abstract 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.
 
7. Publisher Organizing agency, location Equinox Publishing Ltd
 
8. Contributor Sponsor(s)
 
9. Date (YYYY-MM-DD) 01-Jun-2026
 
10. Type Status & genre Peer-reviewed Article
 
11. Type Type
 
12. Format File format PDF
 
13. Identifier Uniform Resource Identifier https://journals.equinoxpub.com/index.php/books/article/view/45000
 
14. Identifier Digital Object Identifier 10.1558/equinox.45000
 
15. Source Journal/conference title; vol., no. (year) Equinox eBooks Publishing; Collaborative AI
 
16. Language English=en en
 
18. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
19. Rights Copyright and permissions Copyright 2014 Equinox Publishing Ltd