Cana Fuest Headshot

Cana Fuest

Instructional Designer

Center for Teaching and Learning
Academic Affairs
Adjunct Faculty

585-475-7287
Office Location

Cana Fuest

Instructional Designer

Center for Teaching and Learning
Academic Affairs
Adjunct Faculty

Bio

Cana Fuest has over a decade of experience in secondary and post-secondary education. She holds a Ph.D. in Educational Technology and Online Learning from Regent University, where her research focused on how faculty are adapting their teaching methods in response to Generative AI. Throughout her career in higher education, Cana has taught a variety of courses in both in-person and online formats and has played a key role in supporting faculty with course design and technology integration. Passionate about innovative pedagogy, she is dedicated to helping educators enhance student engagement through active learning and emerging technologies.

Select Scholarship

Publications

Fuest, C. L. (2026). Faculty adaptation to generative AI in higher education (Order No. 32735515). ProQuest Dissertations & Theses Global. (3347805024).

Conference Presentations

Sadue, J. & Fuest, C.L. Teaching and Learning with Technology Symposium. (March 26, 2026). Teaching in the age of AI: A faculty development strategy for building confidence and literacy, Ithaca College.

Sadue, J. & Fuest, C.L. Conference on Teaching and Learning. (January 13, 2026). Teaching in the age of AI: A faculty development strategy for building confidence and literacy, Niagara University.

Currently Teaching

EDLI-730
3 Credits
This course examines the physiological, psychological, and socio/cultural factors related to learning and development of humans throughout the life cycle, as appropriate for the organization's needs. Selected theories of learning and development are critically analyzed and applied to teaching contexts. Students are expected to critically examine their own assumptions and beliefs about learning, and development and develop an appropriate approach to the task of designing learning based on the organization's workforce and needs. Attention is given to stages of cognitive growth, the development of learning goals, learning environments, and to a variety of theories of learning. Learning styles are discussed as a sub component of learning theories.
EDLI-755
3 Credits
In a learning environment assessing the accomplishment of learning outcomes involves designing evaluation instruments, collecting data regarding performance, and calculating the overall impact of learning. Of equal importance is to calculate the costs for the learning program to demonstrate a return on investment to the organization. This outcome is computed through measuring the increased competencies of the learners and determining the value the learning contributes to the organization. To achieve this outcome learners will measure and grade performance for a variety of intellectual learner domains as well as assess the overall program effectiveness through interpretation of data. This is an online class only.