Data

2026 Generative AI Pedagogies and Technologies Survey Data

Macquarie University
Matt Bower (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25949/30866492.v1&rft.title=2026 Generative AI Pedagogies and Technologies Survey Data&rft.identifier=10.25949/30866492.v1&rft.publisher=Macquarie University&rft.description=This survey explores how educators across early childhood, school, and tertiary settings understand, adopt, and integrate generative artificial intelligence (AI) technologies into their professional practice. It aims to build a comprehensive picture of the rapidly evolving AI-in-education landscape by documenting not only which tools teachers are using, but how and why they are being used for teaching, learning, planning, and assessment.The survey gathers demographic information to contextualise AI use across teaching levels, subject areas, experience, and geographic locations. It then examines educators’ familiarity with generative AI and their engagement with a wide range of tools, including large language models, image, audio, video, presentation, tutoring, research, and education-specific platforms. Respondents are asked about the frequency and purposes of their AI use, particularly in lesson planning, assessment design, marking, and feedback.A central focus of the survey is the pedagogical integration of AI in classrooms. Teachers who use AI with students are invited to describe concrete examples of learning activities, including learning objectives, student and teacher roles, the functions AI played in supporting learning, and the benefits and challenges encountered. The survey also addresses assessment implications, probing how AI use affects the evaluation of student work and what strategies educators employ to manage associated issues.For those who do not use AI with students, the survey captures perceived barriers and concerns. An optional future-focused section investigates educators’ views on how AI will reshape teaching and assessment practices, as well as the adequacy of institutional support and professional learning.Overall, the survey seeks to inform educators, researchers, and policymakers about current practices, institutional conditions, and future needs related to generative AI in education, highlighting both innovative uses and critical tensions as AI becomes embedded in everyday teaching and learning.&rft.creator=Matt Bower&rft.date=2025&rft_rights= https://creativecommons.org/licenses/by-nc-nd/4.0/&rft_subject=Science, technology and engineering curriculum and pedagogy&rft_subject=Sociology of education&rft_subject=Artificial Intelligence&rft_subject=Education&rft_subject=Teaching&rft.type=dataset&rft.language=English Access the data

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This survey explores how educators across early childhood, school, and tertiary settings understand, adopt, and integrate generative artificial intelligence (AI) technologies into their professional practice. It aims to build a comprehensive picture of the rapidly evolving AI-in-education landscape by documenting not only which tools teachers are using, but how and why they are being used for teaching, learning, planning, and assessment.

The survey gathers demographic information to contextualise AI use across teaching levels, subject areas, experience, and geographic locations. It then examines educators’ familiarity with generative AI and their engagement with a wide range of tools, including large language models, image, audio, video, presentation, tutoring, research, and education-specific platforms. Respondents are asked about the frequency and purposes of their AI use, particularly in lesson planning, assessment design, marking, and feedback.

A central focus of the survey is the pedagogical integration of AI in classrooms. Teachers who use AI with students are invited to describe concrete examples of learning activities, including learning objectives, student and teacher roles, the functions AI played in supporting learning, and the benefits and challenges encountered. The survey also addresses assessment implications, probing how AI use affects the evaluation of student work and what strategies educators employ to manage associated issues.

For those who do not use AI with students, the survey captures perceived barriers and concerns. An optional future-focused section investigates educators’ views on how AI will reshape teaching and assessment practices, as well as the adequacy of institutional support and professional learning.

Overall, the survey seeks to inform educators, researchers, and policymakers about current practices, institutional conditions, and future needs related to generative AI in education, highlighting both innovative uses and critical tensions as AI becomes embedded in everyday teaching and learning.

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