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'Men vi testar oss fram tillsammans' : användarundervisning och generativ AI vid svenska lärosätesbibliotek

Barker, Hannah LU (2024) ABMM54 20241
Division of ALM and Digital Cultures
Abstract
As generative AI tools make their way into all corners of society, reports rise that academic librarians are faced with a new complexity of questions from students concerning information seeking and academic integrity in terms of the new tools. This implies that generative AI is starting to affect user education, and this Master’s thesis aimed to unveil and document how Swedish academic libraries are working with generative AI entails. By utilizing questionnaires concerning experiences with generative AI, answered by 16 informants at academic libraries in Sweden, along with guidelines concerning generative AI and information seeking, this study maps out the current experiences and attitudes toward generative AI and how it has affected user... (More)
As generative AI tools make their way into all corners of society, reports rise that academic librarians are faced with a new complexity of questions from students concerning information seeking and academic integrity in terms of the new tools. This implies that generative AI is starting to affect user education, and this Master’s thesis aimed to unveil and document how Swedish academic libraries are working with generative AI entails. By utilizing questionnaires concerning experiences with generative AI, answered by 16 informants at academic libraries in Sweden, along with guidelines concerning generative AI and information seeking, this study maps out the current experiences and attitudes toward generative AI and how it has affected user education in the Swedish academic libraries. This was done by thematically processing the collected empirical materials through an inductive analysis. The experiences and attitudes have also been contextualised through sociomaterial theory, to understand the new ways tech and humans are interacting. The results show that experiences and attitudes in terms of generative AI are divergent (usually pertaining to size and conditions of the academic library), but all informants have been affected by generative AI in some way. All answers are unified in the sentiment that a new or broader form of caution or questioning concerning search results are needed to prepare users for this new type of tech, some even opting to dissuade users from using certain forms of generative AI. Through sociomaterial analysis, the study found that this need for a new form of information literacy could be understood through Haider and Sundin’s (2019) concept of frictions of relevance and infrastructural meaning-making. (Less)
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author
Barker, Hannah LU
supervisor
organization
alternative title
'We'll find a way together' - User Education and Generative AI at Swedish Academic Libraries
course
ABMM54 20241
year
type
H2 - Master's Degree (Two Years)
subject
keywords
Academic Libraries, User education, Generative AI, Sociomaterial theory, Questionnaire
language
Swedish
id
9155074
date added to LUP
2024-06-19 09:51:02
date last changed
2024-06-19 09:51:02
@misc{9155074,
  abstract     = {{As generative AI tools make their way into all corners of society, reports rise that academic librarians are faced with a new complexity of questions from students concerning information seeking and academic integrity in terms of the new tools. This implies that generative AI is starting to affect user education, and this Master’s thesis aimed to unveil and document how Swedish academic libraries are working with generative AI entails. By utilizing questionnaires concerning experiences with generative AI, answered by 16 informants at academic libraries in Sweden, along with guidelines concerning generative AI and information seeking, this study maps out the current experiences and attitudes toward generative AI and how it has affected user education in the Swedish academic libraries. This was done by thematically processing the collected empirical materials through an inductive analysis. The experiences and attitudes have also been contextualised through sociomaterial theory, to understand the new ways tech and humans are interacting. The results show that experiences and attitudes in terms of generative AI are divergent (usually pertaining to size and conditions of the academic library), but all informants have been affected by generative AI in some way. All answers are unified in the sentiment that a new or broader form of caution or questioning concerning search results are needed to prepare users for this new type of tech, some even opting to dissuade users from using certain forms of generative AI. Through sociomaterial analysis, the study found that this need for a new form of information literacy could be understood through Haider and Sundin’s (2019) concept of frictions of relevance and infrastructural meaning-making.}},
  author       = {{Barker, Hannah}},
  language     = {{swe}},
  note         = {{Student Paper}},
  title        = {{'Men vi testar oss fram tillsammans' : användarundervisning och generativ AI vid svenska lärosätesbibliotek}},
  year         = {{2024}},
}