The emergence of generative artificial intelligence (GAI) tools, such as ChatGPT and Bard, has significantly impacted assessment practices in higher education institutions (HEIs) globally. This shift has raised concerns related to academic integrity, cheating, and plagiarism, prompting HEIs to swiftly develop guidelines to address GAI's influence on education. As these guidelines play a crucial role for both instructors and students, it becomes imperative to examine their content, coverage, and suitability.
This comprehensive review investigates the extent to which the world's top 50 HEIs have crafted or adapted their assessment guidelines to incorporate GAI considerations. Where guidelines are present, the focus is on identifying primary content and advice designed to assist instructors in navigating GAI assessment practices.
Key Findings:
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Guideline Development:
- Just under half of the top-ranking HEIs have publicly available guidelines addressing GAI in assessments.
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Guideline Coverage:
- Guidelines typically cover three main areas: academic integrity, advice on assessment design, and communication with students.
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Academic Integrity Concerns:
- Institutions are addressing concerns related to academic integrity in the context of GAI, aiming to curb cheating and plagiarism.
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Assessment Design Advice:
- Two noteworthy suggestions for instructors include running assessment tasks through GAI for evaluation and involving students in the GAI assessment process.
The GAI Landscape:
The article argues for embracing GAI as an integral part of the assessment process, reflecting the current educational and job landscape. This shift necessitates the development of a new competence - generative artificial intelligence assessment literacy. The paper discusses the potential benefits and challenges posed by GAI tools in education, recognizing the need for a balanced approach.
The Educational Landscape:
The growth of GAI, including tools like ChatGPT and Bard, has prompted a reevaluation of its role in higher education. While concerns about academic integrity persist, scholars argue that GAI can offer significant benefits, such as personalized feedback, enhanced question generation, and improved academic assistance.
Looking Ahead:
In conclusion, this review sheds light on the evolving response of top-ranking HEIs to the disruptive influence of GAI on assessment practices. It serves as a valuable resource for institutions aiming to develop or refine their guidelines, providing practical insights for designing assessments in the era of generative artificial intelligence. For inquiries and further exploration, contact us at See e-posti aadress on spämmirobotite eest kaitstud. Selle nägemiseks peab su veebilehitsejas olema JavaSkript sisse lülitatud..
