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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
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Bobkina, Jelena; Domínguez Romero, Elena – Computer Assisted Language Learning, 2022
This research provides insight into Spanish English for Specific Purposes (ESP) engineering students' perceptions of the effectiveness of video production for developing their digital oracy skills versus the effectiveness of in-class presentations for developing their public speaking skills. In addition, the authors discuss students' preferences…
Descriptors: Foreign Countries, Undergraduate Students, Engineering Education, Student Developed Materials
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Zhang, Ruofei; Zou, Di; Xie, Haoran – Computer Assisted Language Learning, 2022
Spaced repetition has been widely implemented and examined in mobile-assisted word learning as an important learning strategy. However, the nature of spaced repetition by commercial word-learning apps and the factors leading to the favoured mobile-assisted spaced repetition have yet to be investigated in authentic contexts. In this study, we coded…
Descriptors: Computer Assisted Instruction, Teaching Methods, English (Second Language), Second Language Learning
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Ko, Myong-Hee – Computer Assisted Language Learning, 2022
The present study investigates South Korean university students' personal computer (PC) and smartphone usage patterns on an online Test of English for International Communication (TOEIC) website using learning analytics. A total of 107 students taking a "College TOEIC" course participated during one academic semester and records of their…
Descriptors: Computers, Telecommunications, Handheld Devices, English (Second Language)
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Bueno-Alastuey, M. Camino; Nemeth, Katalin – Computer Assisted Language Learning, 2022
To date, several studies have investigated the potential benefits of using Quizlet and podcasts for vocabulary development. However, they have mainly focused on the use of available material, and its effects on receptive vocabulary acquisition and students' motivation. In contrast, relatively little has been done to study the effects of…
Descriptors: Vocabulary Development, Audio Equipment, Receptive Language, Expressive Language
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Börekci, Rabia; Aydin, Selami – Computer Assisted Language Learning, 2020
It is evident that teachers' and students' perceptions of interactions on Facebook directly relate to the utilization of Facebook regarding not only an interactional tool but also a learning and teaching environment. However, not many studies appeared on English as a foreign language (EFL) teachers' interactions with their students on Facebook,…
Descriptors: Social Media, Social Networks, Teacher Attitudes, Student Attitudes
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Hsu, Hsiu-Chen – Computer Assisted Language Learning, 2019
Prior research has shown that EFL learners who wrote collaboratively with partners using wikis improved the content quality and language accuracy of their L2 individual writing more than students who wrote individually. Drawing on the dataset from Hsu and Lo's study, the current study explores the nature of the students' collaborative dialogue…
Descriptors: Web Sites, Collaborative Writing, Web 2.0 Technologies, English (Second Language)
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Bakhoda, Iman; Shabani, Karim – Computer Assisted Language Learning, 2019
Computerized dynamic assessment (C-DA) brings the rationality of assessment-instruction integration behind dynamic assessment (DA) into computerized context through the presentation of electronic mediations (Poehner). This study attempts to unravel L2 learners' actual/developed ability and learning potential in a C-DA reading comprehension context…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Computer Assisted Instruction
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Ballance, Oliver James – Computer Assisted Language Learning, 2017
One of the most promising avenues of research in computer-assisted language learning is the potential for language learners to make use of language corpora. However, using a corpus requires use of a corpus tool as an interface, typically a concordancer. How such a tool can be made most accessible to learners is an important issue. Specifically,…
Descriptors: Teaching Methods, Indexes, Multivariate Analysis, Classification