Abstract
The public release of generative artificial intelligence (GAI) tools (e.g., ChatGPT) has had a disruptive effect on the assessment practices of higher education institutions (HEIs) worldwide. Concerns are primarily associated with academic integrity, cheating, and plagiarism. HEIs have had to develop guidelines in response to GAI. As many of these guidelines were developed in haste and could affect many instructors and students, examining their content, coverage, and suitability is necessary.
To understand how HEIs have responded to the development of GAI, my colleagues and I reviewed the world's 50 top-ranking HEIs' guidelines. The findings show that just under half of the institutions have developed publicly available guidelines. The guidelines cover three main areas: academic integrity, assessment design advice, and student communication.
In this presentation, I share the main practical implications of the review. These implications can help university instructors consider ways to adapt their assessment practices to reflect the realities of the GAI age better. In addition, I will share how I adapted my assessment practices to reflect the suggestions provided in these university guidelines.
To understand how HEIs have responded to the development of GAI, my colleagues and I reviewed the world's 50 top-ranking HEIs' guidelines. The findings show that just under half of the institutions have developed publicly available guidelines. The guidelines cover three main areas: academic integrity, assessment design advice, and student communication.
In this presentation, I share the main practical implications of the review. These implications can help university instructors consider ways to adapt their assessment practices to reflect the realities of the GAI age better. In addition, I will share how I adapted my assessment practices to reflect the suggestions provided in these university guidelines.
Original language | English |
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Publication status | Published - 10 Jan 2024 |
Event | Generative AI Insights 2024: Transcending Abstract Concepts to Tangible Impacts - Chinese university of Hong Kong, Hong Kong Duration: 10 Jan 2024 → 10 Jan 2024 https://www.aiforeducation.net/gain-2024 https://www.aiforeducation.net/gain2024-proceedings |
Conference
Conference | Generative AI Insights 2024 |
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Abbreviated title | GAIN 2024 |
Country/Territory | Hong Kong |
Period | 10/01/24 → 10/01/24 |
Internet address |