Author
Listed:
- Bayram Gökbulut
(Department of Educational Sciences, Ereğli Faculty of Education, Zonguldak Bulent Ecevit University, Eregli 67350, Zonguldak, Turkey)
Abstract
Rapid advancements in artificial intelligence (AI) technologies, coupled with UNESCO’s Education 2030 vision, necessitate a re-evaluation of teachers’ technological and pedagogical competencies aligned with sustainability goals. This study investigates the impact of pre-service teachers developing digital materials within the framework of the Sustainable Development Goals (SDGs) using AI and AI-supported Web 2.0 tools (e.g., ChatGPT, DeepSeek, Alayna, Padlet, Canva, Kahoot) on their Artificial Intelligence Technological Pedagogical Content Knowledge (AI-TPACK) levels. Employing an explanatory sequential mixed-methods design, the research was conducted with 31 pre-service teachers over a 10-week applied training period. Data were collected via the AI-TPACK Scale and semi-structured interviews. Quantitative findings revealed that the applied training significantly enhanced the pre-service teachers’ Pedagogical Knowledge (PK), AI-Technological Knowledge (AI-TK), Pedagogical Content Knowledge (PCK), and overall AI-TPACK levels. However, no statistically significant difference was observed in the Content Knowledge (CK) dimension. Qualitative data demonstrated that AI-supported tools made the learning environment more engaging and efficient, concretized abstract sustainability concepts, and bolstered the pre-service teachers’ digital self-confidence. Consequently, this study establishes that integrating AI tools into SDG education is an effective strategy for cultivating pre-service teachers’ technopedagogical competencies, empowering them to perceive technology as a facilitator of professional development rather than an instructional barrier.
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