Research Summary: From information providers to learning designers: heutagogical teaching practices in AI-enhanced education

Generative AI is prompting a re-evaluation of teacher roles and pedagogical approaches, particularly concerning learner autonomy. A study involving Israeli teachers in an eight-week professional development program on AI and learner-centered pedagogy investigated this shift. It explored how teachers' practices changed, moving towards a heutagogical approach, through a mixed-methods design analyzing qualitative data from teacher reflections and lesson plans, and an exploratory quantitative comparison of pre- and post-program submissions.

Why it matters

This development is crucial as it addresses how emerging AI technologies reshape foundational educational paradigms, influencing teaching methodologies and the cultivation of learner independence. Understanding these shifts is vital for educational institutions and policy makers to prepare for future demands on human capital and foster adaptive learning environments.

Key insights

• Generative AI intensifies existing questions regarding the evolving role of teachers and the pedagogical conditions that foster learner autonomy.
• A professional development program focused on AI, self-regulated learning, and learner-centered pedagogy was implemented with Israeli teachers.
• The study utilized a qualitatively driven embedded mixed-methods approach, combining teacher reflections, questionnaires, lesson plans, and artifacts.
• An exploratory quantitative component compared pre- and post-program submissions from consenting teachers, indicating a potential shift in practices.

Source

Frontiers in Education — https://www.frontiersin.org/articles/10.3389/feduc.2026.1905833