This Just In...
This Just In...
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What's Next???
Dr. Tom Nevill will be showcasing the amazing AI work that is being done at GateWay - November 4, 2026
Dr. Tammy Taber and Sarah Hanley presented on Ghost Students at the MCCCD Student Success Conference on October 15, 2026.
Dr. Tammy Taber presented AI & Servingness at the AZ HSI Summit at Glendale Community College on September 25, 2026.
AI Newsletters & Resources
AI Newsletters & Resources
Let's Talk AI - Share Your Thoughts
Let's Talk AI - Share Your Thoughts
Pedagogy
Pedagogy
"Great teaching happens at the intersection of what we teach, how we teach, and the tools we use—TPACK provides the roadmap."
"Great teaching happens at the intersection of what we teach, how we teach, and the tools we use—TPACK provides the roadmap."
Research
Research
Dr. Taber's 2026 Dissertation: "The Uneasy Embrace: Community College Educators Apprehension and Adoption of Generative Artificial Intelligence in Academia". She developed and introduced the EPICC Model (Educators Perception in Community Colleges) to parse out the Community College Educator perception on GAI from the Higher Education (University perspective) research being conducted.
The EPICC Model (Taber, 2026) was created by taking the best of current research models (Technology Acceptance Model 3; Diffusion of Innovation; Unified Theory of Acceptance and Use of Technology 2; and Social Cognitive Theory) and adding in the more current changes within GAI technology (i.e. sustainability, climate, institutional policy, trust, governance) through scaffolding and layering them into a context-specific framework for community college educators.
The dissertation included 8 research questions, 8 hypotheses and 20 sub-hypotheses.
155 Sample Size
73.2% Women to 22.3% Male responses (which goes against past research percentages of 47% Female/52% Male) Miranda & Chamorro-Mera (2025)
Discipline representation is on point with past research - Natural & Applied Sciences along with Humanities. Lerias et al. (2024)
Millennial representation missing completely (ages 35-54) Lerias et al. (2024)
The strongest finding in this study is that adoption of generative AI is driven primarily by pedagogical considerations.
Expected teaching outcomes and pedagogical fit emerged as significant predictors, indicating that educators are focused on whether AI improves teaching and learning, not simply whether it is available or easy to use.
Ease of use was not a barrier. Perceived usefulness is a strong predictor in this model, pedagogical factors ultimately play a greater role in adoption.
Confidence in the ability to use AI in teaching emerged as a statistically significant predictor.
Educators are navigating generative AI independently, rather than relying on institutional guidance or policy structures. This may reflect the evolving nature of institutional AI policies, which have not yet been developed or stabilized enough to influence behavior. Not significant.
Trialability and self-efficacy were significant, suggesting that adoption is driven more by personal experience and confidence than by observing others.
Educators are not rejecting AI due to abstract risks, but are carefully negotiating how to use it in ways that preserve core pedagogical values. Concerns surrounding over-dependence, lost of student voice are concerning, while use as supplemental instruction rang positive.
Additional Resources
Additional Resources
The Center for Teaching, Learning and Employee Development has started the conversations about Artificial Intelligence to help guide you through various barriers, questions and use case scenarios.
We are hopeful that these resources will be used to not only support your needs, but to help inform others as a collaborative repository where you can share articles, books, tools and ways you are using Artificial Intelligence in your courses. The sheets are shared for you to add your resources!
"Coming together is a beginning. Keeping together is progress. Working together is success." ~ Henry Ford
We are also available for conversations and consultations of support regarding AI. Contact us at ctl@gatewaycc.edu.
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