References
Aaron, L., Abbate, S. Allain, N.M., Almas, B., Fallon, B., Gavin, D., Gordon, C. B., Jadamec, M., Merlino, A., Pierie, L. Solano, G., & Wolf, D. (2024). Optimizing AI in higher education: SUNY FACT2 guide, second edition. SUNY Faculty Advisory Council on Teaching and Technology.
AI Now Institute. (2018, October 9). Algorithmic accountability policy toolkit.
AI-Pro. (2024). Transforming higher education: The impact and future of AI tutors.
The Alan Turing Institute. (2025). Doing AI differently: Rethinking the foundations of AI via the humanities.
Alby, C. (n.d.). AI prompts for teaching. Learning that Matters.
Alfred University. (n.d.). Policy for the use of computing facilities at Alfred University: Responsible use of computing resources. Information Technology Services.
American Association of University Professors (AAUP) Committee on Artificial Intelligence and Academic Professions. (2025, May). Artificial Intelligence and academic professions.
American Historical Association. (2025, July 29). Guiding principles for Artificial Intelligence in history education.
Anthropic. (2025). Meet Claude.
Anthropic Help Center. (2025). What is Claude Pro?
Arizona State University. (n.d.). Digital trust guidelines for Generative Artificial Intelligence use.
Arizona State University Office of the University Provost. (n.d.). Teaching and learning with Generative AI.
Atherton, D., Schwartz, R., Fontana, P., & Hall, P. (2023). The language of trustworthy AI: An in-depth glossary of terms. National Institute of Standards and Technology.
Bailey, J., & Warner, J. (2024, December 3). AI tutors: Hype or hope for education? Education Next.
Baillifard, A., Gabella, M., Lavenex, P. B., & Martarelli, C. S. (2025). Effective learning with a personal AI tutor: A case study. Education and Information Technologies, 30(1), 297–312.
Basri, W. S. (2024). Effectiveness of AI-powered tutoring systems in enhancing learning outcomes. Eurasian Journal of Educational Research (EJER), 110, 33–52.
Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö., & Mariman, R. (2024). Generative AI can harm learning. The Wharton School Research Paper.
Bearman, M., Ryan, J., & Ajjawi, R. (2023). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education, 86(2), 369–385.
Bleiberg, J., Robinson, C.D., Bennett, E., & Loeb, S. (2025). The impact of tutor gender match on girls’ STEM interest, engagement, and performance. (EdWorkingPaper No. 25-1178). Retrieved from Annenberg Institute at Brown University.
Boise State University. (n.d.). Information technology resource use policy. Policy Manual Section 8: Information Technology.
Bowen, J. A. & Watson, C. E. (2024). Teaching with AI: A practical guide to a new era of human learning. Johns Hopkins University Press.
Brandon Kotecha, E., Eaton, L., Gavin, D., and Papini, A. (2025, May 29). In the room where it happens: Generative AI policy creation in higher education. Educause Review.
Center for Community Health and Development at the University of Kansas. (2024). Influencing policy development. Community Toolkit.
Chauncey, S. A., & McKenna, H. P. (2023). A framework and exemplars for ethical and responsible use of AI Chatbot technology to support teaching and learning. Computers and Education: Artificial Intelligence, 5, 100182.
Chen, M., Liu, F., & Lee, Y.-H. (2022). My tutor is an AI: The effects of involvement and tutor type on perceived quality, perceived credibility, and use intention. In H. Degen & S. Ntoa (Eds.), Artificial Intelligence in HCI (pp. 232–244). Springer International Publishing.
Coursera. (2025). Google AI essentials.
Du, J., Wang, Y., Zhao, W., Deng, Z., Liu, S., Lou, R., Zou, H. P., Narayanan, V. P., Zhang, N., Srinath, M., Zhang, H. R., Gupta, V., Li, Y., Li, T., Wang, F., Liu, Q., Liu, T., Gao, P., Xia, C., & Xing, C. (2024). LLMs assist NLP researchers: Critique paper (meta-)reviewing. ArXiv.org.
Ekowo, M., & Palmer, I. (2016). The promise and peril of predictive analytics in higher education: A landscape analysis. In New America.
Ekowo, M., & Palmer, I. (2017). Predictive analytics in higher education: Five guiding practices for ethical use. In New America.
Empire State University. (n.d.) AI toolkit and guide.
FACT2 Task Group on Optimizing Artificial Intelligence in Higher Education. SUNY FACT2 guide to optimizing AI in higher education. (2023).
Fazlollahi, A.M., Bakhaidar, M., Alsayegh A, Yilman, R., Winkler-Schwartz, A., Mirchi, N., Langleben, I., Ledwos, N., Sabbagh, A. J., Bajunaid, K., Harley, J. M., and Del Maestro, R. F. (2022). Effect of Artificial Intelligence tutoring vs expert instruction on learning simulated surgical skills among medical students: A randomized clinical trial. JAMA Network Open 5(2):e2149008.
Gemini Apps FAQ. (n.d.). Gemini Google.
Gemini Apps Privacy Hub. (2025, March). Gemini Apps Help.
Gewirtz, D. (n.d.). The US Copyright Office’s new ruling on AI art is here – and it could change everything. ZDNET.
Giray, L. (2024). The problem with false positives: AI detection unfairly accuses scholars of AI plagiarism. The Serials Librarian, 85(5-6), 1-9.
Google. (2025, March 20). Generative AI in Google Workspace Privacy Hub – Google Workspace Admin Help.
Google. (2025). NotebookLM.
Google. (2025). NotebookLM help.
Grammarly. (2024, June 28). What is Google Gemini? What you should know.
Heart, E. (2024, May 28). How AI tutors are completely changing the way we teach.
Hsiao, S. (2024, February). Bard becomes Gemini: Try Ultra 1.0 and a new mobile app today. Google.
Hua, S., Jin, S., & Jiang, S. (2024). The Limitations and Ethical Considerations of ChatGPT. Data Intelligence, 6(1), 201-239.
Imran, M., & Almusharraf, N. (2024). Google Gemini as a next generation AI educational tool: a review of emerging educational technology. Smart Learning Environments, 11(1).
Jenay, R., & McCormick, M. (2024). Educause action plan: AI policies and guidelines. Educause.
Kestin, G., Miller, K., Klales, A., Milbourne, T., & Ponti, G. (2024). AI tutoring outperforms active learning. Research Square.
Kim, W.H., & Kim, J.-H. (2020). Individualized AI tutor based on developmental learning networks. IEEE Access, 8, 27927–27937.
Kornbluh, A., Muratore, K., and Hayot, E. (2025). Against AI.
Kwak, Y., & Pardos, Z. (2024). Bridging large language model disparities: Skill tagging of multilingual educational content. British Journal of Educational Technology, 55(5), 2039–2057. Wiley Online Library.
Lee, N. T., Resnick, P., & Barton, G. (2019, May 22). Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms. Brookings.
Leong, W. Y. & Zhang, J. B. (2025). AI on academic integrity and plagiarism detection. ASM Science Journal, 20(1), 1-9.
Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023). GPT detectors are biased against non-native English writers. Patterns, 4(7), Article 100779.
Lo, C.K. (2023). What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences, 13(4), 410.
MagicSchool AI. (2025). Advice and answers from the MagicSchool team.
MagicSchool AI. (2025). Frequently asked questions.
MagicSchool AI. (2025). Licensing & pricing.
Mai, D.T.T., Da, C.V., & Hanh, N.V. (2024). The use of ChatGPT in teaching and learning: a systematic review through SWOT analysis approach. Frontiers in Education, 9, 1328769.
Maity, S., & Deroy, A. (2024). Generative AI and its impact on personalized intelligent tutoring systems (No. arXiv:2410.10650). arXiv.l
Malami, N. (2024). Impacts of artificial intelligence-based tutoring systems in enhancing learning experience and performance. Rima International Journal of Education, 3(2), 175–181.
Mangan, T. (2024, July). How to craft a generative AI use policy in higher education. Ed Tech Magazine.
Memarian, B., & Doleck, T. (2023). Fairness, accountability, transparency, and ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review. Computers and Education: Artificial Intelligence, 5, 100152.
Microsoft. (2025). Introduction to Generative AI for trainers.
Microsoft. (2025). Microsoft 365 Copilot documentation.
Mississippi State University. (n.d.). Generative AI guidelines for MSU.
MIT Technology Review. (2023, April 7). ChatGPT is going to change education, not destroy it.
Modern Language Association. (2025, October). Statement on educational technologies and AI agents.
Mollick, E. (2024). Co-intelligence: Living and working with AI. Penguin Random House.
Mollick, E. R., & Mollick, L. (2024). Instructors as innovators: A future-focused approach to new AI learning opportunities, with prompts. The Wharton School Research Paper.
Morrone, M. (2024, August 15). AI math tutors are no substitute for human teachers, study finds. Axios.
National Council of Faculty Senates. Winter 2025 webinar: National shared governance response to AI.
Network of the National Library of Medicine. (n.d.). Welcome to the Generative AI short course.
New York State. (n.d.). Glossary. NYS Office of Information Technology Services.
New York State. (2025, February 10). Governor Kathy Hochul issues statewide ban on DeepSeek Artificial Intelligence for government devices and networks.
New York State Department of Financial Services. (2024, October 16). Cybersecurity risks arising from Artificial Intelligence and strategies to combat related risks.
OpenAI. (2025). ChatGPT.
OpenAI. (2024). ChatGPT Pricing.
OpenAI. (2024, October 31). Enterprise privacy. https://openai.com/enterprise-privacy
Orru, M. (2025, March 26). Anthropic scores win in AI copyright dispute with record labels. Wall Street Journal.
Palmer, M. S. (2024, November 25). Is generative AI a general purpose pedagogical innovation? Inside Higher Ed.
Pardos, Z. A., & Bhandari, S. (2024). ChatGPT-generated help produces learning gains equivalent to human tutor-authored help on mathematics skills. PLOS ONE, 19(5), e0304013.
Perkins, M., Roe, J., Vu, B. H., Postma, D., Hickerson, D., McGaughran, J., Khuat, H. Q., Cook, J. (2024). GenAI detection tools, adversarial techniques and implications for inclusivity in higher education. International Journal of Educational Technology in Higher Education 21(1).
Piepgras, J., & Gandara, D. (2024, September 13). How can colleges use predictive algorithms equitably? A conversation with Dr. Denisa Gandara. Institute for Higher Education Policy.
Pratama A. R. (2025). The accuracy-bias trade-offs in AI text detection tools and their impact on fairness in scholarly publication. PeerJ. Computer Science, 11, e2953.
Priyanshu, A., Maurya, Y., & Hong, Z. (2024). AI governance and accountability: An analysis of Anthropic’s Claude. ArXiv.org.
Raden, Justin. (2025, October 23). Higher ed’s rush to adopt AI is about so much more than AI. Defector.
Robinson, C. D., Pollard, C., Novicoff, S., White, S., & Loeb, S. (2024). The effects of virtual tutoring on young readers: Results from a randomized controlled trial. Educational Evaluation and Policy Analysis, 0(0).
Rockland Community College. (2023, June 26). Academic honesty and integrity policy.
Slimi, Z. (2023). The impact of artificial intelligence on higher education: An empirical study. European Journal of Educational Sciences, 10(1).
Solomon, C. (2025). Beyond the hype: A qualitative evaluation of AI tutoring engines through the eyes of human peer tutors. The Learning Assistance Review, 29(Special Issue).
Southern Utah University. (n.d.). SUU’s guiding principles for Generative Artificial Intelligence.
Stanford University Office of Community Standards. (2023, February 16). Generative AI policy guidance.
Stanford University – SCALE Initiative. (2021). National student support accelerator—High impact K-12 tutoring programs. National Student Support Accelerator.
St. John’s University. (n.d.). Academic guidelines and resources.
Strunk, V., & Wilis, J. (2025). Generative Artificial Intelligence and education: A brief ethical reflection on autonomy. EDUCAUSE Review.
SUNY. (2025). AI Legal Institute at SUNY – ALIS.
SUNY Canton. (2024, August 12). 02-028 Academic integrity policy.
SUNY Cortland. (2024). Chapter 340: Academic integrity policy. 2024 SUNY Cortland Handbook.
SUNY Cortland. (n.d.). Generative AI resources.
Tkachov, M. (2024). Beyond ChatGPT: How Claude and other AI assistants stack up. Beetroot.
Tran, T. T. T. (2025). Enhancing EFL writing revision practices: The impact of AI- and teacher-generated feedback and their sequences. Education Sciences, 15(2), 232.
Trice, C. (2025, March 16). AI in Libraries: Literacy, ethics, and responsible use [Opening Keynote Panelist]. Library 2.0, Virtual.
University at Buffalo. (2025). Artificial Intelligence guidance. Office of Academic Integrity.
University of Wisconsin-Madison. (2024, August 23). Generative AI @ UW-Madison. UW-Madison Information Technology.
U.S. Copyright Office. (2025, January 29). Copyright Office releases part 2 of Artificial Intelligence report. News Net Issue 1060.
U.S. Department of Education. (2023). Artificial Intelligence and the future of teaching and learning: Insights and recommendations.
Vee, A. (2025, March 7). How can your courses be AI aware? AI & How We Teach Writing.
Walraven, Jan. (2025, October 24). Belgian AI scientists resist the use of AI in academia. Apache.
Wang, J., & Fan, W. (2025). The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: Insights from a meta-analysis. Humanities and Social Sciences Communications, 12(621).
Wargo, K., & Anderson, B. (2024). Striking a balance: Navigating the ethical dilemmas of AI in higher education. EDUCAUSE Review.
Weber-Wulff, D., Anohina-Naumeca, A., Bjelobaba, S., Foltynek, T., Guerrero-Dib, J., Popoola, O., Singut, P., & Waddington, L. (2023). Testing of detection tools for AI-generated text. International Journal for Educational Integrity, 19(26).
WGU Labs. (2025). Students are AI optimists, but women are at risk of being left behind.
Zarya of the Dawn. (2025, March 11). In Wikipedia.
