The Road to AI Integration: Investigating the Dimensions of AI Readiness in Educational Settings
(2024) INFM10 20241Department 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:
http://lup.lub.lu.se/student-papers/record/9165356
- author
- Håkansson, Erik LU and Stove, Elias LU
- supervisor
-
- Gemza Ademaj LU
- organization
- course
- INFM10 20241
- year
- 2024
- 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}}, }