Teaching Challenges, Ethical Considerations, and Equity Issues
Navigating Gen AI Use in Northeastern University’s EdD Program
DOI:
https://doi.org/10.5195/ie.2026.515Keywords:
generative AI, EdD programs, equitable access, scholar-practitioners, faculty engagementAbstract
Generative artificial intelligence (Gen AI) is significantly transforming teaching and learning globally, presenting both challenges and opportunities within higher education. As faculty members in the Doctor of Education at Northeastern University, this essay reflects on our collaborative efforts to incorporate generative AI tools into our program. Initial faculty engagement sessions highlighted disparities in Gen AI access and explored individual faculty members’ perceptions and preparedness for incorporating these tools in graduate education programs. Key outcomes emphasized the need for consistent exposure to Gen AI across curricula, addressing ethical considerations, and fostering critical thinking skills essential for effective AI use.
References
Anis, S., & French, J. A. (2023). Efficient, explicatory, and equitable: Why qualitative research should embrace AI, but cautiously. Business & Society, 62(6), 1139–1144. https://doi.org/10.1177/00076503231163286
Bano, M., Zowghi, D., & Whittle, J. (2023). AI and human reasoning: Qualitative research in the age of large language models. The AI Ethics Journal, 3(1). https://doi.org/10.47289/AIEJ20240122
Cardona, M., Rodriguez, R, & Ishmael, K. (2023). Artificial intelligence and future of teaching and learning: Insights and recommendations, U.S. Department of Education, Office of Educational Technology. https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf
Cheligeer, C., Yang, L., Nandi, T., Doktorchik, C., Quan, H., Zeng, Y., & Singh, S. (2023). Natural language processing (NLP) aided qualitative method in health research. Journal of Integrated Design and Process Science, 27(1), 41–58. https://doi.org/10.3233/JID-220013
Christou, P. A. (2023a). A critical perspective over whether and how to acknowledge the use of artificial intelligence (AI) in qualitative studies. The Qualitative Report, 28(7), 1981–1991. https://doi.org/10.46743/2160-3715/2023.6407
Christou, P. A. (2023b). How to use artificial intelligence (AI) as a resource, methodological and analysis tool in qualitative research? The Qualitative Report, 28(7), 1968–1980. https://doi.org/10.46743/2160-3715/2023.6406
Costa, A. P. (2023). Qualitative Research Methods: Do Digital Tools Open Promising Trends? Revista Lusófona de Educação, 59, 67–76. https://doi.:10.24140/issn.1645-7250.rle59.04
Faverio, M. & Tyson, A. (2023, November 21). What the data says about Americans’ views of artificial intelligence. Pew Research Center. https://www.pewresearch.org/short-reads/2023/11/21/what-the-data-says-about-americans-views-of-artificial-intelligence/
Hamilton, L., Elliott, D., Quick, A., Smith, S., & Choplin, V. (2023). Exploring the use of AI in qualitative analysis: A comparative study of guaranteed income data. International Journal of Qualitative Methods, 22, 1–13. https://doi.org/10.1177/16094069231201504
Hitch, D. (2023). Artificial intelligence augmented qualitative analysis: The way of the future? Qualitative Health Research, 34(7), 595–606. https://doi.org/10.1177/10497323231217392
Kwon, K., Ottenbreit-Leftwich, A.T., Sari, A. et al. (2019). Teachers’ self-efficacy matters: Exploring the integration of mobile computing device in middle schools. TechTrends 63, 682–692. https://doi.org/10.1007/s11528-019-00402-5
Liu, Q., Geertshuis, S., & Grainger, R. (2020). Understanding academics' adoption of learning technologies: A systematic review. Computers & Education, 151, Article 103857. https://doi.org/10.1016/j.compedu.2020.103857
Marshall, D. T., & Naff, D. B. (2023). The ethics of using artificial intelligence in qualitative research. Journal of Qualitative Research in Education, 24(3), 1–24. https://doi.org/10.31235/osf.io/3rnbh
Morgan, D. L. (2023). Exploring the use of artificial intelligence for qualitative data analysis: The case of ChatGPT. International Journal of Qualitative Methods, 22, 1–10. https://doi.org/10.1177/16094069231211248
Nwana, H. S. (1990). Intelligent Tutoring Systems: An overview. Artificial Intelligence Review, 4, 251–277. https://doi.org/10.1007/BF00168958
Teo, T. (2009) Modeling Technology Acceptance in Education: A Study of Pre-Service Teachers. Computers & Education, 52, 302–312. http://dx.doi.org/10.1016/j.compedu.2008.08.006
Torre, A. & Frazee, J. (2024, April 04). Bridging the AI divide: A call to action. Inside Higher Ed. https://www.insidehighered.com/opinion/views/2024/04/04/call-action-address-inequity-ai-access-opinion
Xia, Q., Weng, X., Ouyang, F., Lin, T., & Chiu, T. (2024). A scoping review on how generative artificial intelligence transforms assessment in higher education. International Journal of Educational Technology in Higher Education 21, Article 40. https://doi.org/10.1186/s41239-024-00468-z
Zhang, H., Wu, C., Xie, J., Lyu, Y., Cai, J., & Carroll, J. M. (2025). Harnessing the power of AI in qualitative research: Exploring, using and redesigning ChatGPT. Computers in Human Behavior: Artificial Humans, 4, Article 100144. https://doi.org/10.1016/j.chbah.2025.100144
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