Year: 2024
Type: conference-paper
Abstract: The rapid advancement of artificial intelligence (AI) technologies has opened new frontiers in educational methodologies, particularly in enhancing interactive learning environments. This paper examines the integration of two AI-driven models, ChatGPT-4.0 and its advanced iteration, GPT-4o, into the teaching of complex subjects such as climate risk management within higher education. Utilizing role-play simulations, a method proven to effectively deepen understanding and engagement, we explore how these models enhance traditional educational approaches by providing dynamic, real-time interactions that mimic real-world decision-making processes. Our comparative analysis focuses on the performance of these models in terms of response time, emotional intelligence, and quality of engagement. The findings indicate that GPT-4o, with its quicker response times and enhanced emotional recognition capabilities, significantly improves learner engagement and the effectiveness of role-play simulations. This study highlights the potential of AI to not only complement but substantially enrich pedagogical practices, offering educators valuable insights into selecting appropriate AI tools for their instructional needs. Through this exploration, we advocate for a hybrid educational model that synergistically combines the strengths of both traditional and AI-enhanced learning, proposing a future where education is more adaptive, personalized, and aligned with the evolving demands of the digital age.
Author: Xiao Xu
Institution: UNSW Sydney
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4406025706