METHODS article
Front. Educ.
Sec. Digital Education
Volume 10 - 2025 | doi: 10.3389/feduc.2025.1612398
This article is part of the Research TopicTeaching and Assessing with AI: Teaching Ideas, Research, and ReflectionsView all 20 articles
GIFT-AI: "I'm scared that the AI feedback is too much!" - Pre-service (English) teachers' feedback strategies and their uses of GenAI for feedback
Provisionally accepted
- Department of Languages and Literatures, University of Gothenburg, Gothenburg, Sweden
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This GIFT-paper presents a learning activity whose overall aim is to increase pre-service (or in-service) teachers’ skills in giving feedback to students by comparing and discussing teacher feedback and GenAI-powered feedback. Feedback is today often seen as a dialogic, two-way relation, striving to engage learners in the feedback process, and the way feedback is phrased is considered essential for students to interpret and act on the feedback. Teachers often struggle with questions of how much feedback to give, what to give feedback on, and how to phrase feedback. For inexperienced teachers, the feedback process is particularly challenging, making practice essential. Recent years’ fast development of Generative AI tools is transforming the field of L2 writing and feedback practices. Although a multitude of automated writing evaluation systems offer both instant and generous feedback to students, it is far from evident how they can or should be used in the language classroom. For novice and pre-service teachers, who are often cautious in giving corrective feedback, GAI tools present additional challenges. The activity outlined in this paper provides pre-service teachers with guided practice in giving feedback, and compare their feedback with GenAI-powered feedback on authentic learner text. Classroom discussion on responsible use of AI-feedback to promote learning is a central part. Although designed for the (English) language classroom, the exercise can easily be adapted to other disciplines.
Keywords: Teacher Education, pre-service teachers, Generative AI feedback, Automated feedback, Teacher feedback, English teaching and learning, L2 writing
Received: 15 Apr 2025; Accepted: 18 Sep 2025.
Copyright: © 2025 Fredriksson. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Anna-Lena Fredriksson, anna-lena.fredriksson@sprak.gu.se
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