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The Road to AI Integration: Investigating the Dimensions of AI Readiness in Educational Settings

Håkansson, Erik LU and Stove, Elias LU (2024) INFM10 20241
Department of Informatics
Abstract
Artificial Intelligence (AI) holds the potential to radically transform various industries in the coming years, yet its impact on higher education remains underexplored. This study investi-gates how AI tools are integrated and utilised by teachers in higher education, employing a qualitative method and abductive approach to examine internal and external dimensions of AI readiness that influence teachers’ ability to integrate AI. Through semi-structured inter-views with educators across multiple disciplines, the research identifies a significant gap between AI's potential and its practical application, underscoring the critical need for ongo-ing professional development and institutional support. The findings suggest that while ex-ternal... (More)
Artificial Intelligence (AI) holds the potential to radically transform various industries in the coming years, yet its impact on higher education remains underexplored. This study investi-gates how AI tools are integrated and utilised by teachers in higher education, employing a qualitative method and abductive approach to examine internal and external dimensions of AI readiness that influence teachers’ ability to integrate AI. Through semi-structured inter-views with educators across multiple disciplines, the research identifies a significant gap between AI's potential and its practical application, underscoring the critical need for ongo-ing professional development and institutional support. The findings suggest that while ex-ternal dimensions are important for AI integration, teachers' reluctance to adopt AI tools is primarily influenced by internal dimensions of their teaching practices. Moreover, the re-search indicates that external dimensions significantly influence internal dimensions, high-lighting the interconnection of these dimensions in the context of AI integration in higher education. (Less)
Please use this url to cite or link to this publication:
author
Håkansson, Erik LU and Stove, Elias LU
supervisor
organization
course
INFM10 20241
year
type
H1 - Master's Degree (One Year)
subject
keywords
Artificial Intelligence (AI), AI readiness, AI integration, Higher Education, Teachers
language
English
id
9165356
date added to LUP
2024-06-18 14:51:48
date last changed
2024-06-18 14:51:48
@misc{9165356,
  abstract     = {{Artificial Intelligence (AI) holds the potential to radically transform various industries in the coming years, yet its impact on higher education remains underexplored. This study investi-gates how AI tools are integrated and utilised by teachers in higher education, employing a qualitative method and abductive approach to examine internal and external dimensions of AI readiness that influence teachers’ ability to integrate AI. Through semi-structured inter-views with educators across multiple disciplines, the research identifies a significant gap between AI's potential and its practical application, underscoring the critical need for ongo-ing professional development and institutional support. The findings suggest that while ex-ternal dimensions are important for AI integration, teachers' reluctance to adopt AI tools is primarily influenced by internal dimensions of their teaching practices. Moreover, the re-search indicates that external dimensions significantly influence internal dimensions, high-lighting the interconnection of these dimensions in the context of AI integration in higher education.}},
  author       = {{Håkansson, Erik and Stove, Elias}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{The Road to AI Integration: Investigating the Dimensions of AI Readiness in Educational Settings}},
  year         = {{2024}},
}