User:Jtneill/Presentations/GenAI guidelines

James T. Neill

University of Canberra 2024 Australasian Academic Integrity Network Forum Friday 6 September, 2024

About
Solutions, best practice, and policy implications for:
 * Posters: short videos (max. 5 minutes, with no more than 4 slides) presenting aspects of good practice; there will be a facility for viewers to contribute comments or questions before and during the Forum.
 * Themes
 * Theme 1: Curriculum and assessment design to support academic integrity
 * Learning design to meet the needs of current students in the context of available tools, and needs of future work
 * Theme 3: Academic integrity in the age of Gen-AI and contract cheating
 * Pros: ethical and beneficial uses of Gen-AI
 * Case studies
 * Pedagogical considerations for Gen-AI
 * Cons: Academic Integrity pitfalls with the use of Gen-AI and ways to flip it

Abstract
This case study explores an innovative approach to integrating generative artificial intelligence (GenAI) into higher education learning and teaching. Students collaborate on an open wiki platform to create unique written works on applied motivation and emotion topics as part of their assessment. Each edit is summarised, detailing GenAI tool usage and prompts, promoting transparency about information sources. Students are required to fact-check GenAI content, revise wording, and support their work with well-selected citations from peer-reviewed sources. This approach develops the knowledge and skills needed for responsible GenAI use, fostering academic integrity. The open writing format allows for feedback from peers and teachers, creating an immersive learning experience. This initiative has collaboratively produced over 1,500 online open educational resources, demonstrating a scalable model for authentic written assessment in the digital age.