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Download full textTsubasa Minematsu; Atsushi Shimada – International Association for Development of the Information Society, 2024
In using large language models (LLMs) for education, such as distractors in multiple-choice questions and learning by teaching, error-containing content is used. Prompt tuning and retraining LLMs are possible ways of having LLMs generate error-containing sentences in the learning content. However, there needs to be more discussion on how to tune…
Descriptors: Educational Technology, Technology Uses in Education, Error Patterns, Sentences
Arifi Waked; Muhammad W. Ashraf; Hanadi AbdelSalam; Khadija El Alaoui; Maura Pilotti – International Society for Technology, Education, and Science, 2024
Questions exist as to whether AI tools, such as ChatGPT, can aid learning. This study examined whether in-class exercises involving error detection in text generated by ChatGPT can aid students' foreign language writing. Participants were Arabic-English speakers who were classified as ranging from modest to competent English users according to…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Selami Aydin; Maryam Zeinolabedini – Online Submission, 2024
In line with the rapid advancement in educational technology, and the application of artificial intelligence (AI) in particular, the teaching and learning of the English language has undergone a significant transformation. This paper aims to explore students' perceptions of integrating AI into the English as a foreign language (EFL) learning…
Descriptors: Artificial Intelligence, Computer Software, Second Language Instruction, Second Language Learning
