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Noble Lo; Sumie Chan; Alan Wong – SAGE Open, 2025
This study investigates the effectiveness of teacher, AI-generated, and hybrid teacher-AI feedback on university students' English writing performance in Hong Kong. Using a mixed-methods approach, the research examines the impact of different feedback types on student motivation, feedback quality, and essay revisions. A total of 1,267 students…
Descriptors: Foreign Countries, Artificial Intelligence, English (Second Language), Second Language Learning
Budi Waluyo; Fouzia Rouaghe – SAGE Open, 2025
This study explores student-initiated translanguaging in the English as a Foreign Language (EFL) context, particularly with AI translation tools, an area largely overlooked in favor of teacher-led approaches. Using a sequential explanatory mixed-method design, the research examined how 69 undergraduates at a Thai university, across various…
Descriptors: English (Second Language), Artificial Intelligence, Undergraduate Students, Second Language Learning
Junfei Li; Jinyan Huang; Thomas Sheeran – SAGE Open, 2025
This study investigated the role of ChatGPT4o as an AI peer assessor in English-as-a-foreign-language (EFL) speaking classrooms, with a focus on its scoring reliability and the effectiveness of its feedback. The research involved 40 first-year English major students from two parallel classes at a Chinese university. Twenty from one class served as…
Descriptors: Artificial Intelligence, Technology Uses in Education, Peer Evaluation, English (Second Language)
Ying Wang – SAGE Open, 2025
Optimizing communication learning experiences for students is a promising development in English language education, enabled by ChatGPT-4, an artificial intelligence software that excels in customizing lessons to suit specific requirements, interests, and preferred modes of communication for each student. Given its critical role in enhancing…
Descriptors: Teaching Methods, Instructional Effectiveness, Artificial Intelligence, Technology Uses in Education
Bin Zou; Yiran Du; Zhimai Wang; Jinxian Chen; Weilei Zhang – SAGE Open, 2023
The development of artificial intelligence (AI) technology has enhanced the use of automated speech evaluation systems for language learners to practice speaking skills. This study investigated whether various automatic feedback offered by AI speech evaluation programs can help English as a foreign language (EFL) learners develop speaking skills.…
Descriptors: Artificial Intelligence, Technology Uses in Education, Second Language Learning, Speech Skills
Zhao Wanli; Tang Youjun; Ma Xiaomei – SAGE Open, 2025
Deeper learning (DL) is firmly rooted in learning science and computer science. However, a dearth of review studies has probed its trajectory in DL in foreign languages (DLFL). Utilizing SSCI from the Web of Science Core Collection, we employ Citespace and Vosviewer to analyze the scientific knowledge graph of DLFL literature. Our analysis…
Descriptors: Bibliometrics, Second Language Learning, Computer Science, Educational Research
Muzaffer Pinar Babanoglu; Tuçe Öztürk Karatas; Esin Dündar – SAGE Open, 2025
Artificial intelligence (AI) rapidly transforms education, offering adaptive and personalized learning experiences. In English as a Foreign Language (EFL) education, AI-powered tools such as chatbots, writing assistants, and translation software reshape teaching and learning. This study explores how 67 prospective EFL teachers envision the future…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, English (Second Language)
Xuewang Geng; Masanori Yamada – SAGE Open, 2025
The development of information and communication technologies has created limitless prospects for using augmented reality (AR) in various fields. Unfortunately, the multitasking nature of AR systems prevents learners from successfully reflecting and retaining knowledge. This study developed and designed a learning analytics dashboard (LAD) with…
Descriptors: Metacognition, Learning Management Systems, Artificial Intelligence, Computer Software
Yunjiu, Luo; Wei, Wei; Zheng, Ying – SAGE Open, 2022
Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…
Descriptors: Chinese, Vocabulary Development, Artificial Intelligence, Undergraduate Students

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