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Showing 1 to 15 of 78 results Save | Export
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María de los Ángeles Gómez González; Alfonso Lago Ferreiro – Language Learning & Technology, 2024
Previous research has established that phonetics has been marginalized within language teaching, proving to be particularly challenging for learners in EFL contexts. This paper presents EPSSML (https://www.usc.gal/multimlab/), an e-learning platform designed within Mayer's (2008, 2009) Cognitive Theory of Multimedia Learning to instruct English…
Descriptors: Computer Assisted Instruction, Pronunciation, Electronic Learning, Phonetics
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Cámara-Arenas, Enrique; Tejedor-García, Cristian; Tomas-Vázquez, Cecilia Judith; Escudero-Mancebo, David – Language Learning & Technology, 2023
This study addresses the issue of automatic pronunciation assessment (APA) and its contribution to the teaching of second language (L2) pronunciation. Several attempts have been made at designing such systems, and some have proven operationally successful. However, the automatic assessment of the pronunciation of short words in segmental…
Descriptors: English (Second Language), Second Language Learning, Pronunciation, Pronunciation Instruction
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Alif Silpachai; Reza Neiriz; MacKenzie Novotny; Ricardo Gutierrez-Osuna; John M. Levis; Evgeny Chukharev – Language Learning & Technology, 2024
It is unclear whether corrective feedback (CF) provided by L2 computer-assisted pronunciation training (CAPT) tools must be 100% accurate to promote an acceptable level of improvement in pronunciation. Using a web-based interface, 30 native speakers of Chinese completed a pretest, a computer-based training session to produce nine sound contrasts…
Descriptors: College Students, Foreign Students, English (Second Language), Second Language Instruction
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Feng, Hui-Hsien; Chukharev-Hudilainen, Evgeny – Language Learning & Technology, 2022
Automated writing evaluation (AWE) systems have been introduced to ESL/EFL classes in the hopes of reducing teachers' workloads and improving students' writing by providing instant holistic scores and corrective feedback (Jiang & Yu, 2020; Link et al., 2014; Ranalli & Yamashita, 2019; Warschauer & Ware, 2006). When it comes to…
Descriptors: Engineering Education, Graduate Students, Writing (Composition), English (Second Language)
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David James Woo; Hengky Susanto; Chi Ho Yeung; Kai Guo; April Ka Yeng Fung – Language Learning & Technology, 2024
English as a foreign language (EFL) students' use of artificial intelligence (AI) tools that generate human-like text may enhance students' written work. However, the extent to which students use AI-generated text to complete a written composition and how AI-generated text influences the overall writing quality remain uncertain. 23 Hong Kong…
Descriptors: Artificial Intelligence, Writing Instruction, English Language Learners, English (Second Language)
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Kim, Heyoung; Yang, Hyejin; Shin, Dongkwang; Lee, Jang Ho – Language Learning & Technology, 2022
The purpose of this article is to set out the design principles and architecture of a second language (L2) learning voice chatbot. Building on L2 acquisition theories and chatbot research, in this article, we report on a South Korean government-funded longitudinal project in which we designed and developed a chatbot called "Ellie".…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Computer Software
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Rui Li – Language Learning & Technology, 2024
Despite the growing body of research regarding the effectiveness of MALL (mobile-assisted language learning) technologies on foreign language (FL) learners' speaking skill development, a comprehensively quantitative meta-analysis regarding the effect sizes of these studies is still lacking. To solve the problem, this study reported results based…
Descriptors: Oral Language, Skill Development, Speech Communication, Second Language Instruction
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Chunping Zheng; Xu Chen; Huayang Zhang; Ching Sing Chai – Language Learning & Technology, 2024
This quasi-experimental research investigates the employment of a formative assessment platform aided by artificial intelligence in an English public speaking course. The platform integrates deep learning, automatic speech recognition, and automatic writing evaluation. It provides automated assessment and immediate feedback on speakers' public…
Descriptors: Peer Evaluation, Comparative Analysis, Feedback (Response), Self Evaluation (Individuals)
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Bronson Hui; Björn Rudzewitz; Detmar Meurers – Language Learning & Technology, 2023
Interactive digital tools increasingly used for language learning can provide detailed system logs (e.g., number of attempts, responses submitted), and thereby a window into the user's learning processes. To date, SLA researchers have made little use of such data to understand the relationships between learning conditions, processes, and outcomes.…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Learning Processes
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Andrea Révész; Matthew Stainer; Jookyoung Jung; Minjin Lee; Marije Michel – Language Learning & Technology, 2023
Eye-tracking is primarily used as a tool to capture attentional processes in second language (L2) research. However, it is feasible to design visual displays that can react to and interact with eye-movements in technology-mediated contexts. We explored whether gaze-contingency can foster L2 development by drawing attention to novel words…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Attention Control
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Kalyaniwala, Carmenne; Ciekanski, Maud – Language Learning & Technology, 2021
While research on language learner autonomy and Computer-Assisted Language Learning (CALL) is abundant, few studies have sought to systematically explore the relationship between the two. By adopting a rigorous approach that identifies transparent inclusion and exclusion criteria, this paper presents a systematic review that seeks to identify: (1)…
Descriptors: Personal Autonomy, Computer Assisted Instruction, Second Language Learning, Informal Education
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Bakla, Arif – Language Learning & Technology, 2020
As digital technologies have become ubiquitous thanks to the Internet, new modes of feedback in L2 writing have emerged, yet what remains unclear is how feedback given through alternative modes helps improve writing quality and how new feedback tools fit in the overall context of writing instruction. Therefore, the purpose of this embedded…
Descriptors: Feedback (Response), English (Second Language), Computer Assisted Instruction, Writing Instruction
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Cárdenas-Claros, Mónica S.; Campos-Ibaceta, Astrid; Vera-Saavedra, Jimmy – Language Learning & Technology, 2021
This multiple case study examined L2 listener patterns of interaction with help options in computer-assisted language learning (CALL) materials. Thirteen students enrolled in an initial English teacher education program interacted with six one-hour listening tasks constructed around talks on technology. Talks and associated exercises were uploaded…
Descriptors: Case Studies, Second Language Learning, Second Language Instruction, Interaction Process Analysis
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Fouz-González, Jonás – Language Learning & Technology, 2020
This study explores the potential of the English File Pronunciation (EFP) app to help foreign language learners improve their pronunciation. Participants were 52 Spanish EFL learners enrolled in an English Studies degree. Pre- and post-tests were used to assess the participants' perception and production (imitative, controlled, and spontaneous)…
Descriptors: Foreign Countries, College Students, Second Language Instruction, Second Language Learning
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Suvorov, Ruslan; Gruba, Paul – Language Learning & Technology, 2023
Grounded in the three-tiered transdisciplinary SLA framework of the Douglas Fir Group (2016), we explore how the concept of 'semiotic resources' may be integrated into CALL activity designs. Starting at the macro level, we discuss how language ideology may influence where to situate semiotic resources within initial design considerations. We next…
Descriptors: Semiotics, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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