Gen AI and Teaching Guidelines - Faculty

Updated October 10, 2024

Technology regularly plays a supporting role in the classroom. Striking the right balance between technology, such as Gen AI, and teaching and learning can benefit both students and instructors. This guidance addresses key questions that have arisen regarding the use of generative AI within and outside the classroom. The goal of these guidelines is not to set hard “do’s and don'ts,” but to provide guidance and have conversations about AI use. Given the fast changing pace in  generative AI tools, these guidelines may be updated and/or  revised accordingly.  

The VCU Faculty Advisory Committee for Gen AI & Teaching & Learning, with representation from across units of both campuses, was formed to deliberate on the fast pace of changes in the AI arena, and particularly to determine actions. The committee is focused on working to better understand faculty perspectives regarding generative AI, helping to build faculty confidence in using AI in course development, creating/producing useful/relevant addendums to the Gen AI Resource Tool, and providing continued guidance, including hands-on workshops and sessions, regarding the use of Gen AI in teaching and learning.

The development of generative AI applications continues to proceed quickly, and is increasingly integrated into many technologies, including teaching and learning applications. Students may be expected to possess the skills and competencies to effectively utilize Gen AI in their courses, as well as the various organizations they join upon graduating. As such, it benefits faculty and students to develop AI literacy, as well as remain aware of its potential drawbacks and limitations. There are multiple frameworks for AI literacy, including knowledge of, skills with, and dispositions towards AI, as well as critical techno-ethical perspectives (e.g. Knoth, N., Decker, M., Laupichler, M. C., Pinski, M., Buchholtz, N., Bata, K., & Schultz, B., 2024). To the extent that faculty may choose to use Gen AI in the classroom, we also encourage faculty to continue actively fostering students’ ongoing learning of essential materials, refinement of critical thinking skills, and demonstration of applied knowledge. 

These guidelines cover the following:

  • General Recommendations for Syllabus Language Regarding Gen AI Use
  • Points for Faculty to Consider When Using Gen AI in Courses
    • General Approach to Using Gen AI in Courses 
  • Limitations and Ethical Considerations of Gen AI

Given the dynamic nature of generative AI, these guidelines will be further developed and revised in accordance with the evolving technology. (Guidelines regarding the use and procurement of Gen AI tools are also provided by the Office of the CIO). Supplementary materials will also be added to the Gen AI Resource Tool, offering additional background information and resources to help faculty integrate Gen AI into their teaching.

Faculty should exercise due diligence in understanding and addressing the multiple ethical considerations involved when using Gen AI for teaching and learning purposes. Several resources related to Gen AI and teaching and learning continue to become available. We will be collating and making these available as resources.

References

Knoth, N., Decker, M., Laupichler, M. C., Pinski, M., Buchholtz, N., Bata, K., & Schultz, B. (2024). Developing a holistic AI literacy assessment matrix-- Bridging generic, domain-specific, and ethical competencies. Computers and Education Open, Volume 6, 100177. DOI: https://doi.org/10.1016/j.caeo.2024.100177

Liang, W., Yuksekgonul, M., Mao, Y., Wu, E., & Zou, J. (2023). GPT detectors are biased against non-native English writers. Patterns, 4(7), 100779. DOI: https://doi.org/10.1016/j.patter.2023.100779 

OpenAI (2023). GPT-4 technical report. https://cdn.openai.com/papers/gpt-4.pdf

Subramaniam, M., Stamm, T.  & Boeh, M. (2023). Generative Artificial Intelligence (Gen AI) and Teaching & Learning Tool. VCU Office of the Provost - Faculty Affairs. https://ctle.vcu.edu/media/faculty-provost/GenAIandTeachingandLearningToolAug15-2023-1.pdf

Virginia Commonwealth University (2024). Academic Misconduct. Student Conduct and Academic Integrity, Division of Student Affairs. https://conduct.students.vcu.edu/vcu-honor-system/academic-misconduct-/

Virginia Commonwealth University (2024). Accessibility. IT Governance, Division of Administration. https://itgovernance.vcu.edu/accessibility/

Virginia Commonwealth University (2024) Generative AI. Office of the CIO. https://cio.ts.vcu.edu/initiatives/generative-ai/