Making AI Generative for Higher Education: Adoption and Challenges among Instructors and Researchers
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| Title: | Making AI Generative for Higher Education: Adoption and Challenges among Instructors and Researchers |
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| Language: | English |
| Authors: | Claire Baytas, Dylan Ruediger, Ithaka S+R |
| Source: | ITHAKA S+R. 2025. |
| Availability: | ITHAKA S+R. Available from: ITHAKA. One Liberty Plaza, 165 Broadway 5th Floor, New York, NY 10006. Tel: 212-500-2355; e-mail: ithakasr@ithaka.org; Web site: https://sr.ithaka.org |
| Peer Reviewed: | N |
| Page Count: | 55 |
| Publication Date: | 2025 |
| Document Type: | Reports - Research Tests/Questionnaires |
| Education Level: | Higher Education Postsecondary Education |
| Descriptors: | Artificial Intelligence, Computer Software, Teaching Methods, Technology Integration, Universities, Cross Cultural Studies, Design, Higher Education, College Faculty, Teacher Attitudes, Researchers, Research Methodology, Graduate Students, Student Attitudes, Educational Change, Influence of Technology, Foreign Countries |
| Geographic Terms: | Canada, United States |
| DOI: | 10.18665/sr.322677 |
| Abstract: | In fall 2023, Ithaka S+R launched a collective research project with the objective of studying generative AI's impact on teaching, learning, and research at the postsecondary level. Through a collaboration with 19 universities from across the US and Canada, the "Making AI Generative for Higher Education" project has provided an opportunity for co-learning among cohort members, gathering and sharing data about instructors' and researchers' practices when it comes to generative AI, and for leveraging design-thinking to envision new forms of AI-related support. The project also led Ithaka S+R to explore the generative AI product landscape and launch its tracker of generative AI products for higher education. The present report presents the findings of the interviews conducted by Ithaka S+R and teams from the 19 cohort institutions during the spring of 2024. These interviews asked faculty, graduate students, and other individuals to reflect on their perceptions of and experiences with generative AI in both teaching and research contexts. While the full interview guide can be found in Appendix C, the study was driven by the following questions: (1) To what degree are instructors and researchers adopting generative AI, and how is this changing their approaches and practices in teaching and research? (2) What challenges are they facing in the aftermath of generative AI's emergence? and (3) What kinds of support have they benefited from, and what kinds of support do they still need? |
| Abstractor: | ERIC |
| Entry Date: | 2025 |
| Accession Number: | ED673282 |
| Database: | ERIC |
| Abstract: | In fall 2023, Ithaka S+R launched a collective research project with the objective of studying generative AI's impact on teaching, learning, and research at the postsecondary level. Through a collaboration with 19 universities from across the US and Canada, the "Making AI Generative for Higher Education" project has provided an opportunity for co-learning among cohort members, gathering and sharing data about instructors' and researchers' practices when it comes to generative AI, and for leveraging design-thinking to envision new forms of AI-related support. The project also led Ithaka S+R to explore the generative AI product landscape and launch its tracker of generative AI products for higher education. The present report presents the findings of the interviews conducted by Ithaka S+R and teams from the 19 cohort institutions during the spring of 2024. These interviews asked faculty, graduate students, and other individuals to reflect on their perceptions of and experiences with generative AI in both teaching and research contexts. While the full interview guide can be found in Appendix C, the study was driven by the following questions: (1) To what degree are instructors and researchers adopting generative AI, and how is this changing their approaches and practices in teaching and research? (2) What challenges are they facing in the aftermath of generative AI's emergence? and (3) What kinds of support have they benefited from, and what kinds of support do they still need? |
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| DOI: | 10.18665/sr.322677 |
