[Eril-l] Primary Research Group Inc. has published the Survey of US Higher Education Faculty 2024, Finding, Sourcing, Citing & Summarizing with AI, ISBN 979-8-88517-214-1

Electronic Resources in Libraries discussion list eril-l at lists.eril-l.org
Wed Jan 31 14:33:53 PST 2024


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.


Data in the report is based on a representative survey of 777 higher
education faculty; data is broken out by a range of personal and
institutional variables, including but not limited to personal
characteristics such as work title, academic field, gender, personal
income, and race/ethnicity, and institutional attributes such as Carnegie
class, public/private status, and enrollment.


Just a few of this 133-page report’s many findings are that:


• Department heads are more likely than other faculty to experiment with
developing proper citations from AI searches.


• Untenured faculty who are on a tenure track are also much more likely
than others to adjust their prompts to request specific sourcing
information from AI applications.


• The majority of respondents (63.19%) expressed little to no confidence in
the accuracy of sourcing and citation information from AI applications.


• Males were twice as likely as females to use AI to recommend journals to
which to submit research articles.


• ChatGPT use was highest among faculty in architecture, fine and visual
arts.


For a table of contents, the questionnaire and an excerpt – view the
product page for this report at:
https://www.primaryresearch.com/AddCart.aspx?ReportID=790
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