Generative AI Adoption in Classroom in Context of Technology Acceptance Model (TAM) and the Innovation Diffusion Theory (IDT)
Project Overview
The document examines the integration of generative AI (GenAI) and large language models (LLMs) in education, focusing on the factors that influence educators' acceptance of these technologies through frameworks like the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT). It emphasizes the potential of GenAI to enhance personalized learning experiences and automate content generation, effectively tailoring educational materials to meet diverse learner needs. However, it also addresses the challenges associated with technology integration, such as varying levels of digital literacy among educators and the infrastructure required for effective implementation. Key findings reveal that educators' perceptions of the usefulness and ease of use of GenAI tools are crucial for their acceptance and adoption, suggesting that successful implementation hinges on addressing these perceptions. Overall, the document underscores the transformative potential of generative AI in educational settings while recognizing the necessity for supportive measures to facilitate its integration and maximize its benefits.
Key Applications
Generative AI and Large Language Models (e.g., ChatGPT, Bard)
Context: Educational settings for educators and students
Implementation: Survey conducted among educators to assess attitudes and perceptions toward AI tools
Outcomes: Positive perceptions of AI tools with a strong correlation between perceived usefulness and acceptance
Challenges: Variability in knowledge and acceptance among educators, perceived risks, and ease of use
Implementation Barriers
Perception Barrier
Concerns about the accuracy and potential to replace human teachers
Proposed Solutions: Demonstrating the effectiveness and tangible benefits of AI tools in the classroom
Technical Barrier
Lack of technological knowledge and skills among educators
Proposed Solutions: Providing training and professional development sessions on AI tools
Ethical Barrier
Concerns regarding the ethical implications of AI use in education
Proposed Solutions: Establishing clear policy guidelines for AI implementation in educational contexts
Project Team
Aashish Ghimire
Researcher
John Edwards
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Aashish Ghimire, John Edwards
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai