Introduction
The increasing prevalence of generative Artificial Intelligence (GenAI) in teaching, learning, and research activities has important implications for the UC Davis community. During Winter Quarter 2024, 1,361 UC Davis undergraduates were surveyed about GenAI. Here are a few stats from the survey:
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43% used GenAI to better understand a difficult topic multiple times per quarter
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89% said it was at least moderately important that UCD provides instruction on ethical use of GenAI
- 33% said their instructors incorporated GenAI in their courses in the past year
This guide is a collaboration between the CEE (Center for Educational Effectiveness) and the Library. It aims to provide guidance on using AI by linking to key frameworks, best practices, and current research to help users deepen their understanding of this emerging issue.
Key Terms
Artificial intelligence (AI) is the ability of a machine or computer system to perform tasks that typically require human intelligence, such as logical reasoning, learning, and problem-solving (Morandín-Ahuerma 2022). AI describes the automation of intellectual tasks. AI encompasses various sub-fields such as machine learning and natural language processing.
Machine learning is an application of artificial intelligence (AI) that allows systems to automate learning and improve from more experience or data.
Deep Learning is a subfield of machine learning, which is a subfield of AI, which itself is a subfield of computer science.
Generative AI or GenAI is a type of AI system that generates text, images, or other media in response to user prompts. GenAI uses: image generation, video synthesis, language generation, and music composition. (GenAI generates new content as its primary output).