How Utilizing Generative AI When Addressing Pedagogical and Mathematical Events Contributes to Mathematics Teacher Educators' TPACK (Technological Pedagogical Content Knowledge)

Saved in:
Bibliographic Details
Title: How Utilizing Generative AI When Addressing Pedagogical and Mathematical Events Contributes to Mathematics Teacher Educators' TPACK (Technological Pedagogical Content Knowledge)
Language: English
Authors: Yaniv Biton (ORCID 0000-0001-7904-8055), Ruti Segal (ORCID 0000-0003-2329-8877), Karin Alush (ORCID 0000-0002-5662-9719)
Source: International Journal of Education in Mathematics, Science and Technology. 2025 13(4):895-913.
Availability: International Journal of Education in Mathematics, Science and Technology. Necmettin Erbakan University, Ahmet Kelesoglu Education Faculty, Meram, Konya, 42090, Turkey. e-mail: ijermst@gmail.com; Web site: https://www.ijemst.net/index.php/ijemst/index
Peer Reviewed: Y
Page Count: 20
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Elementary Education
Descriptors: Artificial Intelligence, Computer Software, Technological Literacy, Pedagogical Content Knowledge, Mathematics Teachers, Teacher Educators, Elementary School Teachers, Technology Integration, Barriers, Teaching Methods, Classroom Techniques, Educational Quality, Teacher Education Programs, Faculty Development, Foreign Countries
Geographic Terms: Israel
ISSN: 2147-611X
Abstract: This study examines the contribution that generative AI (ChatGPT) can make to the TPACK (Technological Pedagogical Content Knowledge) of mathematics teacher educators (MTEs) when addressing pedagogical and mathematical events. The study involved 15 experienced MTEs who were tasked with planning training sessions for elementary school teachers. The MTEs were asked to formulate pedagogical and mathematical issues they wished to address using ChatGPT. The process was documented and analyzed to identify key themes in the MTEs' prompts and the responses received from ChatGPT. The findings reveal the challenges MTEs face with respect to pedagogical issues (adapting new teaching methods, managing classroom/session time, motivating veteran teachers to engage with new teaching approaches, etc.) and with respect to issues regarding mathematics instruction (teaching abstract topics, operations on the number line, dividing fractions, etc.). The results showed that ChatGPT provided creative solutions and diverse strategies to overcome such challenges, thus highlighting the value of integrating AI into teaching practices as a tool to enhance the quality of teacher training.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1475751
Database: ERIC
Description
Abstract:This study examines the contribution that generative AI (ChatGPT) can make to the TPACK (Technological Pedagogical Content Knowledge) of mathematics teacher educators (MTEs) when addressing pedagogical and mathematical events. The study involved 15 experienced MTEs who were tasked with planning training sessions for elementary school teachers. The MTEs were asked to formulate pedagogical and mathematical issues they wished to address using ChatGPT. The process was documented and analyzed to identify key themes in the MTEs' prompts and the responses received from ChatGPT. The findings reveal the challenges MTEs face with respect to pedagogical issues (adapting new teaching methods, managing classroom/session time, motivating veteran teachers to engage with new teaching approaches, etc.) and with respect to issues regarding mathematics instruction (teaching abstract topics, operations on the number line, dividing fractions, etc.). The results showed that ChatGPT provided creative solutions and diverse strategies to overcome such challenges, thus highlighting the value of integrating AI into teaching practices as a tool to enhance the quality of teacher training.
ISSN:2147-611X