Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Insights into EFL Students’ Perceptions of the ‘ChatGPT Essentials’ Training Course for Language Learning
0
Zitationen
1
Autoren
2025
Jahr
Abstract
This paper introduces ‘ChatGPT essentials’, a pedagogically driven training course for pre-service English as a Foreign language (EFL) teachers at the College of Basic Education (CBE) in Kuwait. It responds to current ethical and academic integrity issues by empowering students to use ChatGPT both effectively and ethically. Prior to ChatGPT essentials training sessions, semi-structured interviews were conducted with twenty-five male undergraduate students in a Computer Assisted Language Learning (CALL) course to assess their familiarity with ChatGPT for language learning, followed by pedagogical and practical training sessions and a subsequent evaluation. The quantitative analysis indicates that the students generally valued the training on four levels (i.e., reaction, learning, behaviors, and results). Their perceptions and experiences have changed positively, indicating general positive attitudes towards using ChatGPT as a tool to develop their language skills. Qualitative data from post-training interviews and students’ reflective journals revealed that students valued the practical guidance on ethical usage and critical evaluation of ChatGPT practices, which enhanced their digital literacy skills and fostered responsible ChatGPT use. Such findings point to the benefits of implementing pedagogical training to enhance students’ ChatGPT usage.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.250 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.109 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.482 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 · 5.434 Zit.