Barriers to AI Tool Adoption for Non-Technical Educators in the Digital Age

The integration of artificial intelligence tools in education promises significant benefits, from personalized learning to administrative efficiency. However, non-technical educators face barriers that hinder their adoption of such technologies. This paper investigates these barriers through a mixed-methods approach, combining a literature review with surveys and interviews conducted with educators from various academic backgrounds. Critical barriers identified include a lack of technical training, resistance to change, infrastructural deficiencies, concerns over data privacy, and limited access to AI-specific resources. Additional challenges, such as the misalignment of AI tools with curriculum needs, fear of job displacement, and the complexity of AI integration in traditional pedagogy, are explored. The study's findings underscore the need for targeted professional development, resource allocation, and infrastructural improvements to facilitate effective AI tool integration in educational settings.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-31
DOI
https://doi.org/10.5281/zenodo.13919017
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
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article

Barriers to AI Tool Adoption for Non-Technical Educators in the Digital Age

Zenodo (CERN European Organization for Nuclear Research)
Online Learning and Analytics
article

Barriers to AI Tool Adoption for Non-Technical Educators in the Digital Age

article en

Abstract

The integration of artificial intelligence tools in education promises significant benefits, from personalized learning to administrative efficiency. However, non-technical educators face barriers that hinder their adoption of such technologies. This paper investigates these barriers through a mixed-methods approach, combining a literature review with surveys and interviews conducted with educators from various academic backgrounds. Critical barriers identified include a lack of technical training, resistance to change, infrastructural deficiencies, concerns over data privacy, and limited access to AI-specific resources. Additional challenges, such as the misalignment of AI tools with curriculum needs, fear of job displacement, and the complexity of AI integration in traditional pedagogy, are explored. The study's findings underscore the need for targeted professional development, resource allocation, and infrastructural improvements to facilitate effective AI tool integration in educational settings.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Online Learning and Analytics
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