Our team is committed to exploring the intricate dynamics surrounding the integration of artificial intelligence (AI) into the realms of teaching, learning, and assessment. Through a lens that prioritises the voices and perspectives of students and teachers, we strive to map out the multifaceted landscape of AI in education, shedding light on both the promises and pitfalls that this transformative technology entails.
Our efforts include the publication of a seminal book, “Generative AI in Higher Education The ChatGPT Effect” (Chan & Colloton, 2024), which serves as a comprehensive guide on the impact of AI in education and further serves as a practical guide on how to integrate and implement these technologies into educational settings. It also examines the opportunities and challenges of AI for key stakeholders, including learners and educators. For instance, AI has the potential to offer personalised learning experiences and data-driven insights that can transform educational practices. However, there are concerns regarding over-reliance, bias, and the potential impacts on the development of essential human skills. It is thus crucial to have a nuanced understanding of the challenges that need to be addressed when adopting AI technologies.
Chan, C. K. Y., & Colloton, T. (2024). Generative AI in Higher Education: The ChatGPT Effect. Routledge. https://doi.org/10.4324/9781003459026
Chan and Colloton’s book is available via Open Access here: https://www.routledge.com/Generative-AI-in-Higher-Education-The-ChatGPT-Effect/Chan-Colloton/p/book/9781032599045
Another focus of our research endeavours is the identification of the perceptions and concerns held by students and teachers regarding the integration of AI in education. Through rigorous data collection and analysis, we seek to amplify the voices of those directly impacted by the integration of AI, driving our efforts to develop informed strategies and solutions that resonate with the needs and aspirations of the educational community.
As we continue to unravel the complexities of AI in education and understand the voices of students and teachers, our team remains steadfast in our commitment to fostering a collaborative and inclusive dialogue that shapes the future of educational practices. Stay tuned for more updates on our ongoing research initiatives and publications as we strive to pave the way for a more informed and empowered approach to AI integration in education.
Other Related Studies:
Chan, C. K. Y., & Lee, K. K. W. (2023). The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers? Smart Learning Environments, 10(60), 1-23. https://doi.org/10.1186/s40561-023-00269-3
Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education.
Chan, C. K. Y. & Zhou, W (2023). An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI. Smart Learning Environments, 10(64), 1-22. https://doi.org/10.1186/s40561-023-00284-4
Chan, C. K. Y., & Tsi, L. H. (2024). Will generative AI replace teachers in higher education? A study of teacher and student perceptions. Studies in Educational Evaluation, 83. https://doi.org/10.1016/j.stueduc.2024.101395