2025 Survey Insight Report: Use of AI in Team-Based Learning

Artificial intelligence (AI) is rapidly reshaping higher education, creating both opportunities and challenges for educators. Its growing influence has direct implications for Team-Based Learning (TBL), and InteDashboard seeks to identify its impact with our annual Use of AI in TBL survey.

Building on the 2024 baseline study, the 2025 survey tracks shifts in attitudes, adoption rates, and emerging practices. In addition to the original 18 questions, four new items were introduced this year to capture deeper insights. To analyze results, the InteDashboard team leveraged ChatGPT, supplemented by manual refinements to preserve nuance and context.

Key findings

• Increased AI Impact on Importance of TBL: In 2024, 45% agreed that AI increased TBL’s importance; in 2025, this rose to 63%. We believe that educators view TBL as a safeguard for developing essential “AI-proof” skills, including teamwork, higher-order thinking, and applied problem-solving.
• Higher AI Adoption Rate: Daily use of AI tools grew from 0% in 2024 to 13% in 2025, while the share of educators who never use AI dropped from 33% to 21%. This reflects a shift, with AI moving from experimental use toward routine integration in teaching practices.
• Expanded Use Cases and Custom AI Tools: Respondents are adopting AI for increasingly sophisticated applications, such as developing and adapting custom GPTs and integrating AI more systematically into teaching practices.
• Growing Optimism About Student Impact: Although 48% remain uncertain, one in four educators reported positive effects of AI on student collaboration and participation. Optimism is tempered by concerns about the risk of overreliance, highlighting the need for structured oversight.

Challenges

Despite rising adoption, barriers remain significant. Half of the respondents cite uncertainty about how AI can enhance learning as one of the top barriers. Institutional support is inconsistent, with one in four respondents reporting no policies or resources to guide adoption. Reliability issues, such as inaccurate or fabricated AI outputs, undermine trust and require careful verification. The greatest concern, however, is student overreliance. Educators fear that dependence on AI-generated content may erode reasoning and critical thinking.

Conclusion

Far from being diminished, TBL is made more essential by AI: it provides the human-centered balance—teamwork, reflection, and critical thinking. Institutions investing in training, policies, and student readiness will be best positioned to leverage AI’s benefits while protecting educational quality.

To utilise AI responsibly while safeguarding learning integrity, institutions should:

1. Upskill educators with targeted professional development.
2. Establish clear policies for ethical, consistent AI use.
3. Embed digital literacy into curricula to prepare students for responsible engagement.

Download our white paper now to discover a deeper analysis of respondents’ experiences and actionable recommendations to help institutions navigate this transformation responsibly.