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Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
Intelligent Personal Assistant (IPA) has emerged as a valuable tool for EFL learning by offering interactive authentic contexts. Although IPA is believed to be motivational and useful, empirical evidence is limited and contradictory, especially the efficacy of listening comprehension. Therefore, the study investigated the impact of IPA on…
Descriptors: English (Second Language), English Language Learners, Adolescents, Listening Comprehension
Wen-Min Hsieh; Hui-Chin Yeh; Nian-Shing Chen – Computer Assisted Language Learning, 2025
Research on how the use of social robots helps improve English as Foreign Language (EFL) young learners' pronunciation and willingness to communicate (WTC) is understudied. This study developed a robot and tangible objects (R&T) learning system and examined its impact on elementary EFL learner's English pronunciation and WTC. The R&T…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Task Analysis
Conijn, Rianne; Martinez-Maldonado, Roberto; Knight, Simon; Buckingham Shum, Simon; Van Waes, Luuk; van Zaanen, Menno – Computer Assisted Language Learning, 2022
Current writing support tools tend to focus on assessing final or intermediate products, rather than the writing process. However, sensing technologies, such as keystroke logging, can enable provision of automated feedback during, and on aspects of, the writing process. Despite this potential, little is known about the critical indicators that can…
Descriptors: Automation, Feedback (Response), Writing Evaluation, Learning Analytics
Timpe-Laughlin, Veronika; Sydorenko, Tetyana; Daurio, Phoebe – Computer Assisted Language Learning, 2022
Often, second/foreign (L2) language learners receive little opportunity to interact orally in the target language. Interactive, conversation-based spoken dialog systems (SDSs) that use automated speech recognition and natural language processing have the potential to address this need by engaging learners in meaningful, goal-oriented speaking…
Descriptors: Second Language Learning, Second Language Instruction, Oral Language, Dialogs (Language)
Bibauw, Serge; François, Thomas; Desmet, Piet – Computer Assisted Language Learning, 2019
This article presents the results of a systematic review of the literature on dialogue-based CALL, resulting in a conceptual framework for research on the matter. Applications allowing a learner to have a conversation in a foreign language with a computer have been studied from various perspectives and under different names (dialogue systems,…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Teaching Methods
Slavuj, Vanja; Meštrovic, Ana; Kovacic, Božidar – Computer Assisted Language Learning, 2017
Adaptive and intelligent instructional systems are used to deal with the issue of learning personalisation in contexts where human instructors are not immediately available, so their role is transferred entirely or in part onto the computer. Even though such systems are mostly developed for well-defined domains that have a rather straightforward…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Intelligent Tutoring Systems
Wu, Ejean; Yang, Shu Ching – Computer Assisted Language Learning, 2016
This study examines the differential impact of tutor labeling vs. non-labeling approaches on the performance; motivation beliefs; and cognitive, social, and teaching presence of low-achieving students. Two interactive tutoring strategy patterns are investigated based on the taxonomical e-moderating model of Salmon. In addition, the tutees' online…
Descriptors: Low Achievement, Student Behavior, Student Attitudes, Intervention
Cerezo, Luis; Baralt, Melissa; Suh, Bo-Ram; Leow, Ronald P. – Computer Assisted Language Learning, 2014
Currently, an increasing number of educational institutions are redefining second/foreign language (L2) classrooms by enhancing--or even replacing--traditional face-to-face (FTF) instruction with computer-assisted language learning (CALL). However, are these curricular decisions supported by research? Overall, a cursory review of empirical studies…
Descriptors: Second Language Learning, Second Language Instruction, Computer Assisted Instruction, Teaching Methods
Choi, Inn-Chull – Computer Assisted Language Learning, 2016
A Web-based form-focused intelligent computer-assisted language learning (ICALL) tutoring system equipped with a process-oriented corrective feedback function was developed to investigate the extent to which such a program may serve as a viable method of teaching grammar to Korean secondary and elementary students. The present study was also…
Descriptors: Instructional Effectiveness, Computer Assisted Instruction, Intelligent Tutoring Systems, English (Second Language)
Vlugter, P.; Knott, A.; McDonald, J.; Hall, C. – Computer Assisted Language Learning, 2009
We describe a computer assisted language learning (CALL) system that uses human-machine dialogue as its medium of interaction. The system was developed to help students learn the basics of the Maori language and was designed to accompany the introductory course in Maori running at the University of Otago. The student engages in a task-based…
Descriptors: College Students, Introductory Courses, Malayo Polynesian Languages, Pretests Posttests
Stockwell, Glenn – Computer Assisted Language Learning, 2007
Mobile learning has long been identified as one of the natural directions in which CALL is expected to move, and as smaller portable technologies become less expensive, lighter and more powerful, they have the potential to become a more integral part of language learning courses as opposed to the more supplemental role often assigned to computer…
Descriptors: Intelligent Tutoring Systems, English (Second Language), Second Language Learning, Telecommunications
Heift, Trude – Computer Assisted Language Learning, 2006
This article discusses design and usability issues pertaining to context-sensitive "help" in computer-assisted language learning (CALL). As part of the discussion, we present a study in which we examined the effects of three independent factors on student usage of context-sensitive "help": feedback, exercise type, and language proficiency. Forty…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Feedback
Engwall, Olov; Balter, Olle – Computer Assisted Language Learning, 2007
The aim of this paper is to summarise how pronunciation feedback on the phoneme level should be given in computer-assisted pronunciation training (CAPT) in order to be effective. The study contains a literature survey of feedback in the language classroom, interviews with language teachers and their students about their attitudes towards…
Descriptors: Second Language Learning, Second Language Instruction, Pronunciation, Language Teachers

Crosby, Martha E.; Iding, Marie K. – Computer Assisted Language Learning, 1997
A study with 45 high school seniors investigated the relationship between performance in a computer-based 10-lesson science tutorial program and students' Myers-Briggs Type Indicator (MBTI) profiles. Results indicate performance differences in the program's two phases (knowledge acquisition and knowledge application) for all MBTI scales,…
Descriptors: Cognitive Style, Computer Assisted Instruction, Concept Formation, High School Students

McEnery, Tony; And Others – Computer Assisted Language Learning, 1995
Compares two approaches to teaching grammar with respect to accuracy of participant response over time. A traditional based program used the human teacher method, while Cyber Tutor, a computer-aided program, allowed students to annotate sentences while providing instant feedback and help facilities. (six references) (Author/CK)
Descriptors: College Students, Comparative Analysis, Computer Assisted Instruction, Computer Software