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ORIGINAL RESEARCH article

Front. Educ.

Sec. Teacher Education

Volume 10 - 2025 | doi: 10.3389/feduc.2025.1605921

This article is part of the Research TopicArtificial Intelligence in Educational and Business Ecosystems: Convergent Perspectives on Agency, Ethics, and TransformationView all 9 articles

Using AI Chatbots to Facilitate Mathematics Preservice Teachers' Noticing Skills

Provisionally accepted
  • 1University of Hamburg, Hamburg, Hamburg, Germany
  • 2Nord University, Bodø, Norway

The final, formatted version of the article will be published soon.

The ability to notice and interpret relevant aspects of classroom interactions is central to effective teaching and plays a critical role in teachers’ professional development. This study investigated the development and testing of an AI chatbot (NiCo) designed to support preservice teachers’ noticing skills. The chatbot was built using the GPT-4o model and included a meta-prompt that focused on structured support and providing feedback based. The chatbot was tested with 25 mathematics preservice teachers analyzing classroom videos in the field of secondary algebra education. Data collection involved questionnaires on prior experience with the content, self-assessed AI competencies, and user perception of the chatbot. Results indicate that preservice teachers experienced the chatbot as motivating and helpful for developing their noticing skills. They reported support in perceiving classroom events, interpreting them, and generating alternative actions. Usability was rated positively, though improvements were suggested regarding input options, accessibility, and subject-specific guidance. The study demonstrates the potential of AI chatbots to provide individualized support for the development of teacher noticing skills in teacher education. With the empirically validated meta‑prompt structure of NiCo, we propose a novel, accessible and scalable format for AI‑enhanced teacher education and even professional development. By demonstrating both feasibility and positive user perceptions, this research contributes concretely to the academic discourse on AI‑driven interventions for preservice teachers’ noticing skill development.

Keywords: teacher noticing, initial teacher education, artificial intelligence, ChatGPT, Teachers' professional competence, Preservice teachers, mathematics secondary education

Received: 07 May 2025; Accepted: 25 Aug 2025.

Copyright: © 2025 Bastian, Buchholtz and Kaiser. 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: Gabriele Agnes Kaiser, Nord University, Bodø, Norway

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