Comparative Analysis of GPT-4o and GPT-4.0 in Business Ethics Role-Play Simulations

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.

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Publication Details

Published
2024-10-12
DOI
https://doi.org/10.1145/3702386.3702388
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24
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article

Comparative Analysis of GPT-4o and GPT-4.0 in Business Ethics Role-Play Simulations

Xiao Xu
2 citations
Artificial Intelligence in Healthcare and Education
0.24
article

Comparative Analysis of GPT-4o and GPT-4.0 in Business Ethics Role-Play Simulations

Xiao Xu
article en
2 citations

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.

UNSW Sydney (AU)
Openalex Percentile: Top 38%
Artificial Intelligence in Healthcare and Education
0.24
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