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EFL Students' Attitudes and Contradictions in a Machine-in-the-loop Activity System
This study applies Activity Theory and investigates the attitudes and contradictions of 67 English as a foreign language (EFL) students from four Hong Kong secondary schools towards machine-in-the-loop writing, where artificial intelligence (AI) suggests ideas during composition.
Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT
ChatGPT is a state-of-the-art (SOTA) chatbot.
Exploring EFL students' prompt engineering in human-AI story writing: an Activity Theory perspective
The study also identified common characteristics of students' activity systems, including the sophistication of their generative-AI tools, the quality of their stories, and their school's overall academic achievement level, for their prompting of generative-AI tools for the three purposes during short story writing.
The Role of AI in Human-AI Creative Writing for Hong Kong Secondary Students
The recent advancement in Natural Language Processing (NLP) capability has led to the development of language models (e. g., ChatGPT) that is capable of generating human-like language.
Exploring AI-Generated Text in Student Writing: How Does AI Help?
Human experts scored the stories for dimensions of content, language and organization.
Understanding EFL Student Idea Generation Strategies for Creative Writing with NLG Tools
This study explores strategies adopted by EFL students when searching for ideas using NLG tools, evaluating ideas generated by NLG tools and selecting NLG tools for ideas generation.
