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Lee, John S. Y. – ReCALL, 2022
Extracurricular reading is important for learning foreign languages. Text recommendation systems typically classify users and documents into levels, and then match users with documents at the same level. Although this approach can be effective, it has two significant shortcomings. First, the levels assume a standard order of language acquisition…
Descriptors: Second Language Learning, Reading Materials, Computer Assisted Instruction, Second Language Instruction
Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Wu Xiaofan; Nagaletchimee Annamalai – Contemporary Educational Technology, 2025
This investigation utilized a phenomenological approach to investigate the experience of English language educators in employing artificial intelligence (AI) tools into English language learning. The study used purposive sampling and 20 participants were interviewed. The data analysis was guided by Bronfenbrenner's (1979) ecological systems…
Descriptors: Technology Uses in Education, Artificial Intelligence, Educational Technology, Second Language Learning
Yi-chen Chen – Computer Assisted Language Learning, 2024
Public speaking is considered the most anxiety-provoking speaking activity for English as a foreign language (EFL) learner. While traditional lecture-based classrooms hinder EFL learners' constant practice and frequent interaction due to large class sizes and limited time, recent developments in technology, including Artificial Intelligence (AI),…
Descriptors: Computer Assisted Instruction, Teaching Methods, Oral Language, Second Language Learning
Zahra Sadat Roozafzai; Parisa Zaeri – Journal of Educational Technology, 2024
This study investigates the transformative potential of integrating Artificial Intelligence (AI), animation, and personalized learning in contemporary education. Employing a mixed-methods approach involving interviews and experimental manipulations, the research examines the interconnectedness of these three domains and their collective impact on…
Descriptors: Artificial Intelligence, Animation, Individualized Instruction, Intersectionality
Serra, Judit; Gilabert, Roger – British Journal of Educational Technology, 2021
Recent years have seen a surge of calls for personalization of education. Automatised adaptivity in serious games has been advocated as a potential instantiation of such calls. Yet little is known about the extent to which personalised learning through automatised adaptivity poses an advantage for language learning over generalised teacher-led…
Descriptors: Educational Games, Computer Games, Second Language Instruction, English (Second Language)
Huang, Xinyi; Zou, Di; Cheng, Gary; Chen, Xieling; Xie, Haoran – Educational Technology & Society, 2023
Artificial Intelligence (AI) plays an increasingly important role in language education; however, the trends, research issues, and applications of AI in language learning remain largely under-investigated. Accordingly, the present paper, using bibliometric analysis, investigates these issues via a review of 516 papers published between 2000 and…
Descriptors: Trend Analysis, Educational Trends, Vocabulary Development, Artificial Intelligence
Bonner, Euan; Lege, Ryan; Frazier, Erin – Teaching English with Technology, 2023
Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…
Descriptors: Teaching Methods, Artificial Intelligence, Second Language Learning, Second Language Instruction
Walsh, Rupert – Advances in Language and Literary Studies, 2021
Mobile Assisted Language Learning (MALL) is now common in extra-curricular language learning, but, more recently, teachers have increasingly sought ways to utilise MALL as a communicative classroom tool. Research into the extent that MALL can transform a whole communicative language course, and learners' impressions of such courses, is scarce.…
Descriptors: Teaching Methods, Communicative Competence (Languages), Computer Assisted Instruction, Telecommunications
Chen, Xieling; Zou, Di; Xie, Haoran; Cheng, Gary – Educational Technology & Society, 2021
Personalized language learning (PLL), a popular approach to precision language education, plays an increasingly essential role in effective language education to meet diverse learner needs and expectations. Research on PLL has become an active sub-field of research on technology-enhanced language learning and artificial intelligence applications…
Descriptors: Second Language Learning, Second Language Instruction, Individualized Instruction, Trend Analysis
Huang, Min; Bond, Francis – Asian-Pacific Journal of Second and Foreign Language Education, 2016
In this paper, Chinese curricula in the contexts of China and Singapore on primary level are compared and contrasted by both quantitative (Word Segmenter and Text Analyzer) and qualitative methods (in-depth thematic analysis). The research shows challenges for educational administrators, teachers and other professional staff in Chinese education…
Descriptors: Foreign Countries, Comparative Education, National Curriculum, Information Technology
De Paepe, Liesbeth; Zhu, Chang; Depryck, Koen – Journal of Interactive Learning Research, 2018
To date, teacher perceptions of online language teaching have attracted very little attention. However, these perceptions may influence decisions regarding instructional design, teaching practices and eventually the learning experience. Furthermore, teacher perceptions can contribute to the design of teacher training programs. This study provides…
Descriptors: Web Based Instruction, Second Language Instruction, Instructional Design, Teaching Methods
Wang, Ya-huei; Liao, Hung-Chang – British Journal of Educational Technology, 2011
In the conventional English as a Second Language (ESL) class-based learning environment, teachers use a fixed learning sequence and content for all students without considering the diverse needs of each individual. There is a great deal of diversity within and between classes. Hence, if students' learning outcomes are to be maximised, it is…
Descriptors: Cognitive Style, Learning Motivation, Learning Processes, Individualized Instruction
Fehr, Charles N.; Davison, Mark L.; Graves, Michael F.; Sales, Gregory C.; Seipel, Ben; Sekhran-Sharma, Sarah – Computer Assisted Language Learning, 2012
Vocabulary knowledge is of fundamental importance to reading comprehension, and many students lack the vocabulary knowledge necessary to facilitate learning to read. A study was conducted to determine the effects of an individualized, online vocabulary program on picture vocabulary test scores. Elementary summer school students (N = 43), entering…
Descriptors: Summer Schools, Reading Comprehension, Vocabulary, Scores
Godwin-Jones, Robert – Language Learning & Technology, 2007
Ever since the PLATO system of the 1960's, CALL (computer assisted language learning) has had a major focus on providing self-paced, auto-correcting exercises for language learners to practice their skills and improve their knowledge of discrete areas of language learning. The computer has been recognized from the beginning as a patient and…
Descriptors: Individualized Instruction, Pacing, Computer Assisted Instruction, Intelligent Tutoring Systems