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Generative Artificial Intelligence (GenAI)

AI in Higher Education

The use of AI by students, researchers, and educators has grown quickly in the years since ChatGPT was first released.  Despite initial resistance to the use of AI in education, more and more institutions and educators are making use of AI and GenAI products in their policies and courses. 

Today's academic market is flooded with AI technologies. ITHAKA S+R has been studying the AI landscape and the impact of GenAI on higher education. As part of this project, they have catalogued various AI technologies and created a Generative AI Product Tracking Tool. The tools catalogued by ITHAKA S+R fall into three categories: Tools for Discovery, Tools for Understanding, and Tools for Creation. 1

This guide uses the three categories identified by ITHAKA S+R to highlight some popular AI tools. We have further divided the tools into two categories: AI Tools for Educators and AI Tools for Students.

For the full report on the ITHAKA S+R project and additional information about artificial intelligence and its use in education, please see the bibliography below. 

 

AI in Education Bibliography

  1. Baytas, C., & Ruediger, D. (2024). Generative AI in higher education: The product landscape. Ithaka S+R. https://doi.org/10.18665/sr.320394   Open Access! 

  2. Bennett, L., & Abusalem, A. (2024). Artificial intelligence (AI) and its potential impact on the future of higher education. Athens Journal of Education, 11(3), 195–212. https://eric.ed.gov/?q=Risk+AND+Artificial+AND+Intelligence&ff1=subHigher+Education&id=EJ1438036      Open Access! 

  3. Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20. https://doi.org/10.1186/s41239-023-00392-8   Open Access! 

  4. Gokcearslan, S., Tosun, C., & Erdemir, Z.G. (2024). Benefits, challenges, and methods of Artificial Intelligence (AI) chatbots in education: A systematic literature review. International Journal of Technology in Education, 7(1), 19-39. https://doi.org/10.46328/ijte.600    Open Access! 

  5. Johnson, N., Seaman, J., & Seaman, J. (2024). The anticipated impact of artificial intelligence on US higher education: A national study. Online Learning, 28(3), 9–33. https://olj.onlinelearningconsortium.org/index.php/olj/article/view/4646    Open Access! 

  6. Johnson, N., Seaman, J., & Seaman, J. (2024). A hopeful future? Preparedness and optimism-pessimism about the future of post-secondary education. Open Praxis, 16(3), 311–325. https://eric.ed.gov/?q=culture+AND+US&ff1=dtySince_2024&id=EJ1447008               Open Access! 

  7. Julien, G. (2024). How artificial intelligence (AI) impacts inclusive education. Educational Research and Reviews, 19(6), 95–103. https://academicjournals.org/journal/ERR/article-abstract/A59EF5172309  Open Access! 

  8. Lowe, M. (2024). The more things change: The ethical impacts of artificial intelligence in higher education. Research Issues in Contemporary Education, 9(2), 19–56.  https://eric.ed.gov/?id=EJ1435770    Open Access! 

  9. Meakin, L. (2024). Exploring the impact of generative artificial intelligence on higher education students’ utilization of library resources: A critical examination. Information Technology & Libraries, 43(3), 1–13. https://doi.org/10.5860/ital.v43i3.17246     Open Access! 

  10. Minkovska, D. V., Antonova, E. V., Koparanov, K. A., & Nakov, P. O. (2024). An approach to investigating plagiarism in artificial intelligence content. In 2024 12th International Scientific Conference on Computer Science 13-13 September 2024: Proceedings. https://doi-org.ezproxylocal.library.nova.edu/10.1109/COMSCI63166.2024.10778522

  11. Mosher, M. A., Dieker, L. A., & Hines, R. (2024). The past, present, and future use of artificial intelligence in teacher education. Journal of Special Education Preparation, 4(2), 6-17. https://openjournals.bsu.edu/JOSEP/article/view/5165   Open Access! 

  12. Mustafa, M. Y., Tlili, A., Lampropoulos, G., Huang, R., Jandrić, P., Zhao, J., Salha, S., Xu, L., Panda, S., Kinshuk, López‑Pernas, S., & Saqr, M.(2024). A systematic review of literature reviews on artificial intelligence in education (AIED): A roadmap to a future research agenda. Smart Learning Environments, 11(1), 59. https://doi.org/10.1186/s40561-024-00350-5     Open Access! 

  13. Simms, R.C. (2024). Work with ChatGPT, not against: 3 teaching strategies that harness the power of artificial intelligence. Nurse Educator, 49, 158-161. https://doi-org.ezproxylocal.library.nova.edu/10.1097/NNE.0000000000001634