Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers Engagement
Project Overview
The document examines the challenges and opportunities associated with the adoption of generative AI in education, particularly through the lens of adaptive learning platforms, which have demonstrated positive impacts on student performance. Despite these benefits, the uptake of such technologies in schools has been slow, necessitating an exploration of the factors that influence teachers' engagement with these AI tools. To address this, researchers developed a reliable instrument to assess the holistic factors affecting adoption, followed by a large-scale study involving 792 teachers. Findings revealed that critical factors include teacher workload, perceived ownership of the technology, availability of support, knowledge about AI, and ethical considerations. The study underscores the importance of a comprehensive understanding of the educational ecosystem to facilitate the effective integration of AI technologies in schools, ultimately aiming to enhance teaching and learning outcomes.
Key Applications
Adaptive Learning Platforms (e.g., Anonymised-for-review)
Context: K-12 public schools, Grade 5 to Grade 12
Implementation: Developed and implemented a survey instrument to measure factors affecting adoption; analyzed data from 792 teachers.
Outcomes: Identified key factors influencing teachers’ engagement with adaptive learning platforms; developed a predictive model for engagement.
Challenges: Slow adoption of AI tools in schools; teachers' concerns about workload, trust, support, and ethical issues.
Implementation Barriers
Adoption Barrier
Slow adoption of AI-based adaptive learning platforms in schools. This includes understanding and addressing teachers' workload and trust issues.
Proposed Solutions: Increasing support mechanisms for teachers to facilitate the adoption of AI tools.
Technical Barrier
Teachers' concerns about the ethical implications of using AI platforms, including privacy and data security. It is essential to ensure that ethical concerns are addressed during the implementation of AI tools in education.
Proposed Solutions: Implementing measures that prioritize ethical considerations and safeguard data privacy.
Project Team
Mutlu Cukurova
Researcher
Xin Miao
Researcher
Richard Brooker
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Mutlu Cukurova, Xin Miao, Richard Brooker
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