Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During Placements
This study investigates the integration of mentorship, self-regulated learning (SRL), and generative artificial intelligence (gen-AI) to support pre-service teachers (PSTs) before and during work-integrated learning (WIL) placements. Utilising the Mentoring and SRL Pyramid Model (MSPM), it examines...
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| Format: | Article |
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MDPI AG
2025-05-01
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| Series: | Education Sciences |
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| Online Access: | https://www.mdpi.com/2227-7102/15/6/642 |
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| author | Ngoc Nhu Nguyen (Ruby) Walter Barbieri |
| author_facet | Ngoc Nhu Nguyen (Ruby) Walter Barbieri |
| author_sort | Ngoc Nhu Nguyen (Ruby) |
| collection | DOAJ |
| description | This study investigates the integration of mentorship, self-regulated learning (SRL), and generative artificial intelligence (gen-AI) to support pre-service teachers (PSTs) before and during work-integrated learning (WIL) placements. Utilising the Mentoring and SRL Pyramid Model (MSPM), it examines how mentors’ dual roles as coaches and assessors influence PSTs’ SRL and explores to what extent gen-AI can assist PSTs in meeting the demands of WIL placements. Quantitative and qualitative data from 151 PSTs, including survey, interview, placement scores, and mentor feedback were analysed using statistical correlation analysis and thematic analysis to reveal varied mentorship approaches. Gen-AI tools are highlighted as valuable in enhancing PSTs’ SRL, providing tactical and emotional guidance where traditional mentorship is limited. However, challenges remain in gen-AI’s ability to navigate complex interpersonal dynamics. The study advocates for balanced mentorship training that integrates technical and emotional support, and equitable access to gen-AI tools. These insights are critical for educational institutions aiming to optimise PST experiences and outcomes in WIL through strategic integration of gen-AI and mentorship. |
| format | Article |
| id | doaj-art-bae5c7e20dca42f9bdcb48d8ec797767 |
| institution | Kabale University |
| issn | 2227-7102 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Education Sciences |
| spelling | doaj-art-bae5c7e20dca42f9bdcb48d8ec7977672025-08-20T03:27:10ZengMDPI AGEducation Sciences2227-71022025-05-0115664210.3390/educsci15060642Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During PlacementsNgoc Nhu Nguyen (Ruby)0Walter Barbieri1Office of the Deputy Vice-Chancellor (Education), The University of Sydney, Sydney, NSW 2006, AustraliaSchool of Education, Faculty of Arts, Business, Law and Economics, The University of Adelaide, Adelaide, SA 5005, AustraliaThis study investigates the integration of mentorship, self-regulated learning (SRL), and generative artificial intelligence (gen-AI) to support pre-service teachers (PSTs) before and during work-integrated learning (WIL) placements. Utilising the Mentoring and SRL Pyramid Model (MSPM), it examines how mentors’ dual roles as coaches and assessors influence PSTs’ SRL and explores to what extent gen-AI can assist PSTs in meeting the demands of WIL placements. Quantitative and qualitative data from 151 PSTs, including survey, interview, placement scores, and mentor feedback were analysed using statistical correlation analysis and thematic analysis to reveal varied mentorship approaches. Gen-AI tools are highlighted as valuable in enhancing PSTs’ SRL, providing tactical and emotional guidance where traditional mentorship is limited. However, challenges remain in gen-AI’s ability to navigate complex interpersonal dynamics. The study advocates for balanced mentorship training that integrates technical and emotional support, and equitable access to gen-AI tools. These insights are critical for educational institutions aiming to optimise PST experiences and outcomes in WIL through strategic integration of gen-AI and mentorship.https://www.mdpi.com/2227-7102/15/6/642generative artificial intelligence (gen-AI)work-integrated learning (WIL)AI literacyinitial teacher education (ITE)pre-service teachers (PSTs)mentoring |
| spellingShingle | Ngoc Nhu Nguyen (Ruby) Walter Barbieri Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During Placements Education Sciences generative artificial intelligence (gen-AI) work-integrated learning (WIL) AI literacy initial teacher education (ITE) pre-service teachers (PSTs) mentoring |
| title | Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During Placements |
| title_full | Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During Placements |
| title_fullStr | Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During Placements |
| title_full_unstemmed | Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During Placements |
| title_short | Mentorship in the Age of Generative AI: ChatGPT to Support Self-Regulated Learning of Pre-Service Teachers Before and During Placements |
| title_sort | mentorship in the age of generative ai chatgpt to support self regulated learning of pre service teachers before and during placements |
| topic | generative artificial intelligence (gen-AI) work-integrated learning (WIL) AI literacy initial teacher education (ITE) pre-service teachers (PSTs) mentoring |
| url | https://www.mdpi.com/2227-7102/15/6/642 |
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