Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Possibilities for Improving ESP Curriculum Design and Assessment Strategies for Saudi Universities with ChatGPT
1
Zitationen
8
Autoren
2025
Jahr
Abstract
This study investigates the impact of integrating ChatGPT, an Artificial Intelligence-powered language model, into English for Specific Purposes (ESP) writing courses for EFL students at Saudi Arabian universities. The main research question examines how ChatGPT can enhance students’ writing performance, engagement, and autonomous learning. The study aims to evaluate the effectiveness of ChatGPT in improving ESP writing skills and to identify the challenges and opportunities associated with its use in classroom settings. It also explores how Saudi university instructors can strategically create exams and courses using generative AI. The significance of this study lies in its contribution to the growing field of AI-assisted language learning, offering valuable insights for educators, curriculum designers, and policymakers amid the digital transformation of education. A mixed-methods approach was adopted, including surveys, interviews, pre- and post-tests, and document analysis to collect quantitative and qualitative data. The findings reveal significant improvements in students’ writing proficiency, particularly in grammar accuracy, vocabulary enrichment, creativity, and critical thinking. Nevertheless, challenges such as technical barriers, ethical concerns, and teachers’ limited training in AI tools were identified. The study recommends providing professional development programs for teachers, establishing ethical guidelines for AI use, enhancing technical support, and continuously evaluating AI tools to ensure effective implementation. This research provides a foundation for future studies on integrating AI technologies in language education and highlights the potential of ChatGPT to foster autonomous and effective language learning.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.391 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.257 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.685 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.501 Zit.