2024 №4 / Teacher wellbeing and AI: using artificial intelligence in the classroom to reduce workload and support teacher wellbeing
Teacher wellbeing and AI: using artificial intelligence in the classroom to reduce workload and support teacher wellbeing
Authors: Poppy Gibson
DOI: 10.62670/2308-7668.2024.50.4.002
Source: Issue: vol. 50 No. 4: 5 January 2025
Publisher: PE "Center of Excellence"
Document type: Practical article
Abstract
How important is teacher happiness? This reflective article emphasises the critical importance of teacher wellbeing. Happy and healthy teachers are better equipped to create positive learning environments,
leading to improved student outcomes and overall school climate, as well as supporting teacher retention and productivity in the long term. This article considers how we can potentially use artificial intelligence (AI) to alleviate teacher workload. By automating tasks like grading, creating personalised learning plans, and generating educational
content, AI can free up teachers to focus on more meaningful interactions with students. This paper highlights that, ultimately, the combination of teacher wellbeing and AI-driven innovations can lead to a more effective and fulfilling education system for both teachers and students.
Key words: education, teaching, artificial intelligence, wellbeing, workload
2. Collie, R.J. and Martin, A.J. (2023). Teacher wellbeing and sense of relatedness with students:
Examining associations over one school term. Teaching and Teacher Education, 132, p.104–233.
3. Collie, R.J. (2023). Teacher well-being and turnover intentions: Investigating the roles of job resources and job demands. British Journal of Educational Psychology, 93(3), pp.712–726.
4. Chiles, M. and Goodwin, D. (2022). Year One: Lighting the path on your first year in teaching.
John Catt Publications.
5. Kooli, C. and Yusuf, N. (2024). Transforming educational assessment: Insights into the use of ChatGPT and large language models in grading. International Journal of Human-Computer Interaction, pp.1–12.
6. Gnanaprakasam, J. and Lourdusamy, R. (2024). The Role of AI in Automating Grading: Enhancing Feedback and Efficiency. In Artificial Intelligence and Education-Shaping the Future of Learning. IntechOpen.
7. Ayeni, O.O., Al Hamad, N.M., Chisom, O.N., Osawaru, B. and Adewusi, O.E. (2024). AI in education: A review of personalized learning and educational technology. GSC Advanced Research and Reviews, 18(2), pp.261–271.
8. Mondal, H., Marndi, G., Behera, J.K. and Mondal, S. (2023). ChatGPT for teachers: Practical
examples for utilizing artificial intelligence for educational purposes. Ahead of Print. 10.4103/
ijves.ijves_37_23.