Please note:
The guidance document admits that we do not have all the answers; it provides links to research and articles about the topic. It will be a webpage that is routinely updated by the DTLC.
Over the last couple of years, there has been a large amount of discussion and debate about the use of artificial intelligence, both the potential benefits and concerns, including concerns about academic integrity. These recent developments in the field of artificial intelligence have raised opportunities to reconsider academic honesty practices for faculty and students. As we all learn more about the possibilities and implications of AI in higher education, there is a need to develop guidance and recommendations around this topic. Therefore, this guidance aims to share relevant information, resources, and strategies that may help faculty and students navigate rapidly changing educational environments.
Please note that the strategies and resources provided in this guidance do not represent an exhaustive body of information. We recognize that developments and discussions around AI are rapidly evolving, and the implications may vary across disciplines and educational contexts. The District Teaching and Learning Committee (DTLC) will continue to update this document/website as new information becomes available.
If you have resources that may be relevant to share, please contact Sarah Harmon, Faculty Chair of the DAS Standing Committee on Teaching and Learning (DTLC).
Sarah Harmon
Faculty Chair of the DAS Standing Committee on Teaching and Learning (DTLC)
If you have any technical questions or resources to share, please contact Chris Collins, Faculty Chair of the District Distance Education Advisory Committee (D-DEAC).
Chris Collins
Faculty Chair of the District Distance Education Advisory Committee (D-DEAC)