Summary of Generative Ai in Education: a Study Of Educators’ Awareness, Sentiments, and Influencing Factors, by Aashish Ghimire et al.
Generative AI in Education: A Study of Educators’ Awareness, Sentiments, and Influencing Factors
by Aashish Ghimire, James Prather, John Edwards
First submitted to arxiv on: 22 Mar 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
Summary difficulty | Written by | Summary |
---|---|---|
High | Paper authors | High Difficulty Summary Read the original abstract here |
Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The study explores university instructors’ experiences and attitudes toward large language models (LLMs) and generative AI-based tools. The researchers analyzed educators’ perspectives on the role of AI in education, investigating awareness, sentiment, and factors influencing adoption. A survey using a Likert scale was combined with follow-up interviews to gather insights. Statistical and thematic analysis techniques were applied to process the data. Findings reveal that instructors are increasingly aware of and generally positive toward these tools. No correlation was found between teaching style and attitude toward generative AI. Interestingly, computer science (CS) educators showed more confidence in their technical understanding of generative AI tools and positivity toward them compared to educators from other fields; however, they did not demonstrate greater confidence in detecting AI-generated work. The study contributes to the literature by shedding light on educators’ perspectives on AI language models and generative AI-based tools. |
Low | GrooveSquid.com (original content) | Low Difficulty Summary This study looks at what university teachers think about using artificial intelligence (AI) tools in their classrooms. Researchers wanted to know how much teachers are aware of these tools, if they like them, and why they might or might not use them. They asked questions through a survey and then talked more with some teachers to get a better understanding. The results show that most teachers are familiar with AI tools and generally think they’re useful. There isn’t any connection between how teachers teach and their feelings about AI. Interestingly, computer science teachers know the most about AI and like it the most; however, even they don’t feel more confident in figuring out when students use AI to do their work. |