The Generative Ai Inclusion Threshold Framework (GAiIT)
5 Levels
Simple and easily defined for instructors to include to limit or expand on Ai inclusion.
Samples
See worked out examples of each GAiIT Level and ideas to use Ai with students.
Ai Ethics
Discussion points on the proper use of Ai and when Ai is appropriate to use and when it is not.
Discussions about GAiIT
Join one of many discussions about how GAiIT solves problems involving Ai Inclusion or exclusion from academic work and best practices for addressing academic trust issues.
Download the GAiIT Doc
Download the complete explanation of the GAiIT framework and now can be applied in a variety of academic environments.
What is "Bona Fide"?
One of the GAiIT foundational philosophies is based on this idea the cornerstone for dealing with academic dishonesty.
What happens when students cross the line?
Bona Fide, to work "in good faith" in accordance with the expectations of the assessment rules. Most students do, but what can be done when they choose to break GAiIT expectations?
The Design Team
The Minds Behind GAiIT
Lead by Dr. Torrence Temple, meet the team that helped forge a new vision for Ai use in the university setting.
Committee Chair and Academic Program Director for the Single Subject Teaching Credential and Program Coordinator for the Emphasis Masters program at National University.
Chair for the Teacher Education program at National University, professor, and course lead for the ESL class emphasis
1:1 Dissertation professor and National University Teacher Education program collaborator
Director and Course Lead for the Foundations courses for Teacher Education at National University
Academic Program Director for Multiple Subject program at National University
1:1 Doctoral professor and course lead for the SEL emphasis program at National University.
