New Collection of More Than 300 Studies: “Surveying the AI Landscape: Emerging Patterns in Higher Education Research”
From Digital Promise:
Over the past two years, a remarkable shift has taken place in higher education: the integration of generative AI into teaching, learning, and institutional practices. This transformation has prompted a surge in education research focused on understanding the applications and effects of generative AI in postsecondary contexts.
To better understand how the field is responding, we created AI in Higher Education, a collection of more than 300 studies that examine the uses, impacts, and designs of generative AI in higher educational settings. Published between 2022–2025, these papers include empirical research, descriptive analyses, and position pieces that explore how generative AI is being interpreted, adopted, and assessed across higher education contexts.
[Clip]
Many studies examine AI in relation to writing and assessment. However, as the research evolves, new studies are uncovering diverse and inventive ways that generative AI is being used to support teaching, learning, and faculty development. For example:
- Curriculum vulnerability assessment: Tools like dashboards are being developed to flag parts of course curricula that are vulnerable to misuse of generative AI. These tools can then suggest proactive course redesigns to mitigate such risks.
- Simulated dialogue agents: AI agents can be used to create interactive learning environments. Examples include realistic simulations of discussions and emotionally enriched feedback designed to mitigate negative feelings towards feedback.
- Support for self-regulated learning: Generative AI is integrated into tools that scaffold metacognitive processes such as reflection, planning, and progress monitoring. Examples include dashboards that track learning performance and AI systems that prompt students to adjust learning strategies and reflect on goals.
- Faculty professional development: AI tools are being used in faculty professional development programs. Studies illustrate how generative AI can aid in lesson planning and instructional preparation, and foster more reflective pedagogical practices among postsecondary educators.
Learn More, Read the Complete Post
Direct to AI in Higher Education Collection (331 entries + Metadata)
Impressive!!!
Filed under: Dashboards, Journal Articles, News, Reports
About Gary Price
Gary Price (gprice@gmail.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com.


