Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Impact of Chat GPT on the Marine Engineering Technology Curriculum
0
Zitationen
1
Autoren
2024
Jahr
Abstract
In recent years, ChatGPT, an arguably groundbreaking product by OpenAI, has significantly influenced the pedagogical methods and processes employed in various academic courses across the globe.This paper explore the potential impact of ChatGPT on student engagement and learning in the EPO-125, Introduction to Marine Engineering course, at the California State University Maritime Academy (CSUM).Some areas of focus include accuracy, accessibility, supplementary learning, over reliance concerns, ethical concerns, detachment from traditional learning, and lack of critical thinking development.The evolution from GPT from version 3.0, to 3.5, to 4.0, which involves a significant improvement in language processing capabilities and scope of knowledge resulting in more nuanced context-awareness, including text and image prompts, will also be considered in this study.By drawing from student assignment samples, class discussions, and user feedback, a comprehensive overview of the challenges, benefits, and the pedagogical implications of ChatGPT in this first-year course will also be discussed.As the ChatGPT technology evolves, a balanced approach that harnesses the potential of this technology while maintaining the role of traditional hands-on learning teaching methods, may lead to embracing the technology and creating a comprehensive student learning experience.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.245 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.102 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.468 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.429 Zit.