The release of artificial intelligence (AI) text generator programs, such as ChatGPT, have changed the landscape of higher education, particularly regarding assessment. Traditional assessment methods that are used to measure higher levels of learning often include research papers, case studies, analyses and other written works. These types of assessments can often be easily completed on generative AI programs. AI detection programs have been unable to keep up with the advances in AI; this has resulted in many universities turning off the AI detection feature on plagiarism detection programs since they are not as reliable as hoped. This leaves faculty unsure if students: a) are completing their work without AI assistance, and 2) actually learning. The purpose of this virtual session is to address the theories of emerging pedagogies and associated assessment techniques, as well as the types of assessments that can be created that are mores AI-resistant, and requires more critical and creative thought. These types of assessment can be discipline-specific; however, examples from several disciplines will be included. Last, this session will address effective, problem-based assessments in select disciplines where students are required to use AI to ensure they are ready to be successful in the workplace of the future.

Authors:
Colleen Halupa, East Texas Baptist University, United States

About the Presenter(s)
Dr. Colleen Halupa is the Dean of Online Learning at East Texas Baptist University in Marshall, Texas.

Connect on Linkedin
https://www.linkedin.com/in/colleen-halupa-32335a30/

Connect on ResearchGate
https://www.researchgate.net/profile/Colleen-Halupa

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