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Showing 1 to 15 of 17 results Save | Export
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Aysel Sahin Kizil; Blanka Klimova; Marcel Pikhart; Antigoni Parmaxi – Journal of Computer Assisted Learning, 2025
Background: The rise of intelligent chatbots powered by artificial intelligence and machine learning has ignited interest in their potential for revolutionising second language (L2) acquisition and foreign language learning (FLL). While their potential seems vast, understanding their actual impact on learning outcomes requires comprehensive…
Descriptors: Educational Research, Artificial Intelligence, Computer Software, Synchronous Communication
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Jordi Casteleyn – Reading Teacher, 2025
This article examines findings from an umbrella review of 95 systematic reviews and meta-analyses on effective reading instruction. The analysis highlights that reading is a multifaceted process, requiring the integration of key components such as decoding, comprehension, fluency, and motivation. The review underscores the importance of early…
Descriptors: Reading Instruction, Teaching Methods, Instructional Effectiveness, Reading Processes
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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
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Atika Puspasari; Noni Agustina – Journal of English Teaching, 2025
Integrating artificial intelligence (AI) in English for Nursing instruction has become increasingly important as healthcare becomes more technologically driven and globally connected. This systematic review analyzes 28 studies published from 2022 to 2024 to examine the current state of AI implementation in nursing ESP education. The findings…
Descriptors: Artificial Intelligence, Nursing Education, Research Reports, Computer Software
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Xu, Xiaoshu; Zhu, Xiaoshen; Chan, Fai Man – Interactive Learning Environments, 2023
Personal Learning Environment (PLE) represents a shift of learning paradigm towards learner-centered pedagogy, where users become masters of their own learning. PLEs are best used by learners with Self-Regulated Learning (SRL) abilities. Previous research showed that learners felt lost or socially isolated in PLEs due to their limited SRL…
Descriptors: Educational Environment, Individualized Instruction, Pilot Projects, College Students
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Sürüç Sen, Nur – Journal of Learning and Teaching in Digital Age, 2021
The present article provides a review of 48 studies related to mobile assisted language learning, published mostly in the last decade with the aim of demonstrating a mind map of how mobile devices have been put into learning experience among learners with diverse backgrounds and learning settings such as formal, informal, blended, etc. In this…
Descriptors: Computer Assisted Instruction, Second Language Learning, Handheld Devices, Technology Integration
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Galip Kartal; Hatice Okyar – Education and Information Technologies, 2025
The present study carried out a bibliometric analysis of L2 eye-tracking research. VOSviewer, CiteSpace, and CitNetExplorer were used for the analysis. The data were 245 articles indexed by Social Sciences Citation Index (SSCI). The study identified the research topics, trends, promising research directions, influential authors and documents, and…
Descriptors: Bibliometrics, Eye Movements, Second Language Learning, Language Research
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Mohammad H. Al-khresheh – Language Teaching Research Quarterly, 2024
The integration of artificial intelligence (AI) into language instruction has presented new opportunities, with ChatGPT emerging as a promising tool for interactive and personalized learning. This systematic review examines the effectiveness, advantages, and drawbacks of the ChatGPT in English language teaching (ELT). To achieve this objective,…
Descriptors: Futures (of Society), Artificial Intelligence, Computer Software, Technology Uses in Education
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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
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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
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Cole, Mikel W. – Journal of Literacy Research, 2014
This meta-analysis examines the effectiveness of a group of instructional approaches (i.e., cooperative, collaborative, and peer tutoring) at improving literacy outcomes for English language learners. Main effects analyses of a sample of 28 experimental and quasi-experimental studies reveal that peer-mediation is more effective for ELLs than…
Descriptors: Teaching Methods, Meta Analysis, Intervention, Instructional Effectiveness
Barrera, Manuel; Liu, Kristi; Thurlow, Martha; Chamberlain, Steve – National Center on Educational Outcomes, University of Minnesota, 2006
English language learners (ELLs) with disabilities struggle with reading and the reasons for their struggles are not well understood owing to little knowledge about the impact of disability on language development in either the first or second language (Klingner et al., 2006). Nevertheless, this difficulty in reading achievement historically has…
Descriptors: Second Language Learning, Reading Difficulties, Educational Strategies, Reading Comprehension
Weible, David M. – 1982
A review of the literature and current technology focuses on the determination of what strategies and methods are appropriate for computer-assisted language learning (CALL). A brief overview is presented regarding the historical development and non-use (to its full potential) of the computer in the education field, and particularly in the area of…
Descriptors: Computer Assisted Instruction, Computer Software, Educational Strategies, Educational Technology
Garrett, Nina – 1982
The potential of the computer in helping foreign language students learn to use the grammatical principles of the target language for communicative purposes is discussed. A philosophical contrast between the terms of computer-assisted instruction (CAI) and computer-assisted language learning (CALL) precedes a discussion of current approaches to…
Descriptors: Communicative Competence (Languages), Computer Assisted Instruction, Educational Technology, Error Analysis (Language)
Lombardo, Linda – Rassegna Italiana di Linguistica Applicata, 1990
Summarizes presentations at an international symposium on "Autonomy and Foreign Language Learning." Topics include the good language learner; experiments in learner autonomy; individualized learning in Italian universities; adult language learning; learner autonomy in the classroom; cultural variation in learning styles; use of…
Descriptors: Adult Learning, Cognitive Style, Computer Assisted Instruction, Cultural Differences
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