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Teachers

Large Language Models and AI in Education: Insights from Nigerian Teachers

Strategic Insights

— 1 min read

Research published in F1000Research on September 5, 2025, by investigators at the Open University in Milton Keynes, UK, highlights the challenges and opportunities of integrating Artificial Intelligence (AI) in education, particularly in resource-constrained settings. The study focuses on the adoption of Large Language Models (LLMs) like ChatGPT among Nigerian in-service teachers, revealing significant predictors of behavioral intention and recommending targeted professional development initiatives to enhance digital competencies and reduce technology-related anxiety.

Key Takeaways:

  • The rapid integration of AI in education offers transformative opportunities to enhance teaching and learning, but integrating AI tools into resource-constrained settings presents significant challenges.
  • The study adopted a hybrid approach, combining Partial Least Squares Structural Equation Modelling (PLS-SEM) and Artificial Neural Networks (ANN) to uncover both linear and nonlinear dynamics influencing behavioral intention of 260 Nigerian in-service teachers regarding ChatGPT.
  • The PLS-SEM results highlight Perceived Usefulness (PUC), Technology Anxiety (TA), Your Colleagues and Your Use of ChatGPT (YCC), and Perceived Ease of Use (PEU) as significant predictors, explaining 15.8% of the variance in behavioral intention.
  • Complementing the PLS-SEM analysis, ANN identified PEU, Attitude Towards ChatGPT (ATC), and PUC as the most critical factors, demonstrating substantial predictive accuracy with an RMSE of 0.87.
  • The study highlights the need for targeted professional development initiatives to enhance teachers' digital competencies, reduce technology-related anxiety, and build trust in AI tools like ChatGPT.
  • The research aims to empower teachers and support AI-driven educational transformation in resource-limited environments by addressing contextual barriers.
  • The study recommends an inclusive and ethical AI ecosystem, emphasizing the importance of fostering a positive attitude towards AI-powered tools like ChatGPT.

Statistics:

  • 260 Nigerian in-service teachers participated in the study.
  • The PLS-SEM results explained 15.8% of the variance in behavioral intention.
  • The ANN analysis demonstrated substantial predictive accuracy with an RMSE of 0.87.
  • The study targeted professional development initiatives to enhance teachers' digital competencies and reduce technology-related anxiety.

Sources:

  • F1000Research. Large language models and GenAI in education: Insights from Nigerian in-service teachers through a hybrid ANN-PLS-SEM approach. 2025;14:258.
  • NewsRx. Investigators at Open University Zero in on Life Sciences (Large language models and GenAI in education: Insights from Nigerian in-service teachers through a hybrid ANN-PLS-SEM approach). Health & Medicine Week. September 5, 2025; p 190.

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