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Gok, Duygu; Bozoglan, Hilal; Bozoglan, Bahadir – Computer Assisted Language Learning, 2023
In this study, we aimed to integrate the flipped classroom model into "Advanced Reading and Writing" course and to investigate the effect of the flipped classroom model on pre-service English language teachers' foreign language classroom anxiety (FLCA) and foreign language reading anxieties (FLRA). This study involved two groups (34 in…
Descriptors: Flipped Classroom, English (Second Language), Second Language Learning, Anxiety
Shortt, Mitchell; Tilak, Shantanu; Kuznetcova, Irina; Martens, Bethany; Akinkuolie, Babatunde – Computer Assisted Language Learning, 2023
More than 300 million people use the gamified mobile-assisted language learning (MALL) application (app) Duolingo. The challenging tasks, reward incentives, systematic levels, and the ranking of users according to their achievements are just some of the elements that demonstrate strong gamification elements within this popular language learning…
Descriptors: Gamification, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Chen, Ping-Ju – Computer Assisted Language Learning, 2023
As a primary form of communication in the global village, the importance of English writing cannot be emphasized enough. Most academic institutions regard training their students to write English effectively as a goal of the curriculum. Here in Taiwan is no exception to that; therefore, more and more colleges start to offer English writing courses…
Descriptors: Blended Learning, English (Second Language), Second Language Learning, College Students
Matt Kessler; Shawn Loewen; Talip Gönülal – Computer Assisted Language Learning, 2025
Despite the influx of research examining various aspects of mobile-assisted language learning (MALL) applications (apps) over the past two decades, there have been no head-to-head studies that have investigated the comparative effectiveness of different mobile apps. The current study addresses this gap by directly comparing two of the most…
Descriptors: Handheld Devices, Telecommunications, Technology Uses in Education, Second Language Learning
Asma Almusharraf; Daniel Bailey – Computer Assisted Language Learning, 2025
Machine translation (MT) practice and activity development in education are possible when students with diverse backgrounds contribute to helping define how MT can best be used for language learning. This study employed a questionnaire based on an adapted version of the technology acceptance model (TAM) to gain perspective on the perceptions,…
Descriptors: Web Sites, Student Attitudes, Language Proficiency, Second Language Learning
Dan Lu; Ya-Nan Xie – Computer Assisted Language Learning, 2024
The cultivation of critical thinking with the assistance of Information Communication Technology (ICT) tools has drawn much attention from researchers and practitioners in the field of Teaching English to Speakers of Other Languages (TESOL). With the purpose of exploring whether the application could help improve students' critical thinking and…
Descriptors: Critical Thinking, Thinking Skills, Teaching Methods, English (Second Language)
Zhi Quan; Lynn Grant; Darryl Hocking – Computer Assisted Language Learning, 2024
As a corpus-assisted method for language pedagogy, DDL (data-driven learning) may have the potential to enhance language exposure and promote active learner engagement. Concordancing, or KWIC (Key Words in Context), has been the traditional method used in DDL to retrieve numerous language examples, while the method has limitations with…
Descriptors: Language Patterns, Language Usage, Second Language Learning, English (Second Language)
Peiru Tong; Zhaohui Yin; Linda Tsung – Computer Assisted Language Learning, 2024
In this study, the use of a popular mobile social networking platform (WeChat) is investigated for learning Chinese as a foreign language (CFL) in a beginners' course at an Australian university. Driven by practical considerations and major issues with previous literature, student engagement and authentic language used in a WeChat class group are…
Descriptors: Learner Engagement, Computer Mediated Communication, Social Media, Foreign Countries
Lee, Sangmin-Michelle – Computer Assisted Language Learning, 2023
With a significant number of students using machine translation (MT) for academic purposes in recent years, language teachers can no longer ignore it in their classrooms. Although an increasing number of studies have reported its pedagogical benefits, studies have also revealed that language teachers are still sceptical about using MT for various…
Descriptors: Instructional Effectiveness, Teaching Methods, Translation, Second Language Learning
Online Language Learning and Workplace Communication: A Study on Babbel's Virtual-Classroom Solution
Mendes de Oliveira, Milene; Sporn, Zachary; Kliemann, Lea; Borschke, Alexandra; Meyering, Meike – Computer Assisted Language Learning, 2023
Workforce mobility and diversity are now the reality for many businesses, requiring employers to facilitate their employees' acquisition of foreign languages (FLs). Developing communicative competencies in an FL is necessary to fulfill the demands of an international workplace. Increasingly, companies have done so with the support of commercial…
Descriptors: Electronic Learning, Second Language Learning, Verbal Communication, Work Environment
Fariba Foroutan Far; Mahboubeh Taghizadeh – Computer Assisted Language Learning, 2024
This study investigated the effects of digital and non-digital gamification on EFL learners' learning collocations, satisfaction, perceptions, and sense of flow. The participants divided into three groups of digitally gamified, non-digitally gamified, and non-gamified classes were 75 Iranian EFL students at B1 level. In each class, students were…
Descriptors: Gamification, Technology Uses in Education, English (Second Language), Second Language Learning
Jacqueline Zammit – Computer Assisted Language Learning, 2024
With the advancement of educational technologies, computer-assisted language learning (CALL) tools, like online dictionaries, are essential for acquiring a second language, especially new vocabulary. There has been no empirical focus on the usage of "Gabra" online dictionary in learning Maltese, with a specific focus on international…
Descriptors: Dictionaries, Computer Assisted Instruction, Language Acquisition, Second Language Learning
Anne-Marie Sénécal; Walcir Cardoso; Vanessa Mezzaluna – Computer Assisted Language Learning, 2024
Clickers are hand-held devices that wirelessly transmit student input to a computer: students answer multiple-choice questions using their clickers and the answer distribution is displayed on a screen. Previous studies suggest that the pedagogical use of these devices may contribute to learning and that they are positively perceived by students in…
Descriptors: English (Second Language), Second Language Learning, Vocabulary Development, Audience Response Systems
Ali Soyoof; Barry Lee Reynolds; Kan Kan Chan; Wen-Ta Tseng; Kate McLay – Computer Assisted Language Learning, 2025
Research has shown that massively multiplayer online role-playing games (MMORPGs) have the potential to offer language learning opportunities. However, there is a dearth of research exploring student attitudes about the potential of these games for language learning. We used the language learning principles framework proposed by Brown and Lee…
Descriptors: Foreign Countries, Computer Games, English (Second Language), Second Language Learning
Siowai Lo – Computer Assisted Language Learning, 2025
Neural Machine Translation (NMT) has gained increasing popularity among EFL learners as a CALL tool to improve vocabulary, and many learners have reported its helpfulness for vocabulary learning. However, while there has been some evidence suggesting NMT's facilitative role in improving learners' writing on the lexical level, no study has examined…
Descriptors: Translation, Computational Linguistics, Vocabulary Development, English (Second Language)

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