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Tanjun Liu; Dana Gablasova – Computer Assisted Language Learning, 2025
Collocations, a crucial component of language competence, remain a challenge for L2 learners across all proficiency levels. While the data-driven learning (DDL) approach has shown great potential for collocation learning from a shorter-term perspective, this study investigates its effectiveness in the long term, examining both linguistic gains and…
Descriptors: Phrase Structure, Learning Analytics, English (Second Language), Second Language Instruction
Jiarui Hou; James F. Lee; Stephen Doherty – Computer Assisted Language Learning, 2024
Previous reading research on incidental word learning as product and process has largely employed computer- or paper-based delivery methods. The present study uses a novel combination of offline and online measures to examine the effects of mobile media (mobile phone and tablet) compared to traditional media (paper and computer) on incidental L2…
Descriptors: Foreign Countries, College Students, English (Second Language), Second Language Learning
Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
Barrot, Jessie S. – Computer Assisted Language Learning, 2023
Despite the building up of research on the adoption of automated writing evaluation (AWE) systems, the differential effects of automated written corrective feedback (AWCF) on errors with different severity levels and gains across writing tasks remain unclear. Thus, this study fills in the vacuum by examining how AWCF through Grammarly affects…
Descriptors: Automation, Written Language, Error Correction, Feedback (Response)
Yuanlan Jiang; Jian-E Peng – Computer Assisted Language Learning, 2025
Language learner engagement, which is receiving increased attention, has predominantly focused on offline classroom contexts, while learner engagement in language Massive Open Online Courses (LMOOCs) remains under-explored. This study was conducted on a College English MOOC with the purpose of examining learner engagement and its relations with…
Descriptors: Learner Engagement, Personal Autonomy, Second Language Learning, Second Language Instruction
Siowai Lo – Computer Assisted Language Learning, 2024
With the rise of computer-assisted online learning tools such as the "Language Reactor," advanced captioning options such as dual subtitles (i.e. simultaneous display of on-screen texts in the first language and the second/foreign language) have gained much attention. However, little is known about how dual-subtitled viewing may be…
Descriptors: Vocabulary Development, Captions, Intervention, Educational Technology
Taichi Yamashita – Computer Assisted Language Learning, 2024
The present paper reports on the effectiveness and inclusiveness of human-delivered synchronous written corrective feedback (SWCF) in paired writing tasks. Replicating Yamashita, Study 2 and Study 3 each conducted a classroom-based quasi-experimental study in an English-as-a-Second-Language (ESL) writing program at an American university. In Study…
Descriptors: Synchronous Communication, Feedback (Response), Student Evaluation, Written Language
Cheng-Yueh Jao; Hui-Chin Yeh; Wan-Rou Huang; Nian-Shing Chen – Computer Assisted Language Learning, 2024
While previous studies have focused on the outcomes of using dubbing apps to foster learner's development of English-speaking ability, this study, grounded in cognitive apprenticeship (CA), is an investigation of the learning processes, which included modeling, coaching, scaffolding, articulation, reflection, and exploration, involved in the use…
Descriptors: Video Technology, Audiovisual Aids, Audio Equipment, Translation
Engwall, Olov; Lopes, José – Computer Assisted Language Learning, 2022
This article analyses how robot-learner interaction in robot-assisted language learning (RALL) is influenced by the interaction behaviour of the robot. Since the robot behaviour is to a large extent determined by the combination of teaching strategy, robot role and robot type, previous studies in RALL are first summarised with respect to which…
Descriptors: Second Language Learning, Adults, Swedish, Robotics
Lee, Ju Seong; Lu, Ying – Computer Assisted Language Learning, 2023
This study explores the relationship between the L2 Motivational Self System--namely, the ideal L2 self and the ought-to L2 self--and L2 Willingness to Communicate (L2 WTC) in the classroom (a typical place for English communication among EFL learners) and in the extramural digital setting (an emerging English communication channel increasingly…
Descriptors: Foreign Countries, Middle School Students, Self Concept, Learning Motivation
Nishioka, Hiromi – Computer Assisted Language Learning, 2023
Developments in the affordances of the Internet provide language learners with easy access to learning resources as well as interactions with native speakers. This emerging learning landscape thus creates favourable conditions to learners who want to engage in self-directed language learning. This in-depth single case study reports on the…
Descriptors: Korean, Social Media, Video Technology, Educational Technology
Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Asma Alsahil – Computer Assisted Language Learning, 2024
Despite the plethora of research on computer-supported collaborative writing, previous studies have failed to provide an adequate analysis of the quality and quantity of multi-authored texts due to the vast amount of unstructured data. This study aims to expand the current research by contributing new perspectives to the understanding of students'…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Advanced Courses
Huiwan Zhang; Wei Wei; Yiqian Cao – Computer Assisted Language Learning, 2024
The role of computer-assisted language learning (CALL) in developing vocabulary knowledge has been investigated extensively in the field of English for Academic Purposes with positive outcomes. However, its implications for medical education, and specifically foreign languages for medical purposes, have not received much attention. This study…
Descriptors: Computer Assisted Instruction, Educational Technology, Technology Uses in Education, Medical Education
Yujuan Luo; Mike Watts – Computer Assisted Language Learning, 2024
This study aimed to understand the nature of learning English in the digital age from students' personal 'learning lives'. Drawing on hermeneutic phenomenology's principles, this study conducted conversational interviews and obtained reflective reports from students over 5 months. The findings reveal that students' English learning experiences are…
Descriptors: Student Experience, Handheld Devices, English (Second Language), Second Language Learning