The didactical knowledge of generative artificial intelligence tools: The case of writing mathematics lessons
Wajeeh Daher 1 2 * , Ahlam Adnan Anabousy 1 3
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1 Al-Qasemi Academic College of Education, Baqa al-Gharbiyye, ISRAEL2 An-Najah National University, Nablus, PALESTINE3 Kibbutzim College of Education, Tel-Aviv, ISRAEL* Corresponding Author

Abstract

Generative artificial intelligence (GenAI) is attracting the attention of educators for its potential in the classroom, including the mathematics classroom. Investigating these potentialities for the student and the teacher is needed to support the teacher in his/her decisions concerning integrating this new technology into his/her classroom. The present study intends to study the potentialities of GenAI bots (ChatGPT, Gemini, Claude, and Perplexity) in writing mathematical lessons and in awareness of the teaching means (method, strategy and technique) in the lessons. We collected the data through prompts given to the bots. We analyzed the data using deductive and inductive reasoning. The research results indicated that the four bots succeeded in writing a mathematics lesson on the linear function topic. They showed awareness of the teaching means used in the lesson, but they differed regarding what they considered a teaching method and a teaching strategy. Future research is requested to study other aspects of the didactical knowledge of GenAI bots.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Research Article

EURASIA J Math Sci Tech Ed, Volume 21, Issue 9, September 2025, Article No: em2691

https://doi.org/10.29333/ejmste/16769

Publication date: 01 Sep 2025

Online publication date: 17 Aug 2025

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Article Downloads: 15

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