
Survey of US Higher Education Faculty 2024, Finding, Sourcing, Citing & Summarizing with AI
Description
Survey of US Higher Education Faculty 2024, Finding, Sourcing, Citing & Summarizing with AI
Overall Usage: A small percentage (5.92%) of the entire sample reported using AI applications to seek recommendations on which journals to submit their ideas, articles, or other content. A significant majority (75.93%) have not used AI for this purpose and 18.15% did not answer the question.
This comprehensive study looks at who, how, and how often higher education faculty are using artificial intelligence applications to search for, cite and summarize information. The study provides highly distinct data sets for each of these purposes, and focuses on the precise use of specific applications, with separate data for use of ChatGPT, Bard, Bing and other applications. The study enables its readers to find out exactly how higher education faculty are using AI and what their experience has been. For librarians focusing on information literacy and search strategy, it provides a highly detailed map of faculty experience with AI as a supplement to, or even a replacement of, traditional search engines and library search interfaces. This detailed report enables its readers to find out exactly how AI is beginning to reshape information and scholarly searching.
Table of Contents
133 Pages
- Table 1.1 Have you tried to use any artificial intelligence application to develop citations for your scholarly research and publications?
- Table 1.2 Have you tried to use any artificial intelligence application to develop citations for your scholarly research and publications? Broken out by academic title
- Table 1.3 Have you tried to use any artificial intelligence application to develop citations for your scholarly research and publications? Broken out by enrollment
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