AI as a Transformative Tool in Higher Education: Engaging Faculty and Administrators
Pearce Dietrich, Vantage Career Center
Keywords:
AI, Adoption, Efficiency
Key Statement:
Explore AI as a transformative tool in higher education, fostering acceptance among faculty and administrators by demonstrating its ethical applications in personalized learning, administrative efficiency, and equipping students with AI literacy for workforce success.
Abstract:
This presentation examines AI as a transformative tool in higher education, designed to engage faculty and administrators who may be skeptical or resistant to its adoption. It highlights AI’s potential to enhance personalized learning, streamline administrative tasks, and equip students with AI literacy for workforce success post-graduation. The session showcases strategies to foster AI acceptance by demonstrating ethical and impactful uses, such as tailoring instruction to diverse learners and leveraging data for institutional improvement. Participants will explore actionable methods to integrate AI tools while considering equity, accessibility, and responsible use.
Hear it from the author:
Transcript:
AI is here. It is not the future; we are living in it now. Every professional needs to start utilizing it.
Many are skeptical, lacking training and guidance, and fear student cheating. These concerns
are often used as excuses not to embrace the technology. However, professionals can hold
those beliefs and still use the basics of AI to increase efficacy and efficiency. While debates
persist, they are largely academic at this point, and it’s time to move forward. Professionals
should dip their toes into AI through a leadership team that spearheads a simple, small, slow,
and voluntary training program. Case studies show this approach works. As people experience
the benefits of efficiency and time savings in small administrative tasks, they branch out to
bigger tasks. Through the power of AI, it becomes its own professional development plan and
implementation.
References:
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Rizvi, S., Waite, J., & Sentance, S. (2023). Artificial intelligence teaching and learning in K-12 from 2019 to 2022: A systematic literature review. Computers and Education: Artificial Intelligence, 4, 100145. https://doi.org/10.1016/j.caeai.2023.100145
Salas-Pilco, S. Z., Xiao, K., & Hu, X. (2022). Artificial intelligence and learning analytics in teacher education: A systematic review. Education Sciences, 12(8), 569. https://doi.org/10.3390/educsci12080569
Topal, A. D., Eren, C. D., & Genç, G. (2021). The application of artificial intelligence assistant to deep learning in teachers’ teaching and students’ learning processes. Frontiers in Psychology, 13, 929175. https://doi.org/10.3389/fpsyg.2022.929175