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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)
Tzu-Yu Tai; Howard Hao-Jan Chen – Computer Assisted Language Learning, 2024
English speaking is considered the most difficult and anxiety-provoking language skill for EFL learners due to lack of access to authentic language use, fear of making mistakes, and peers' negative comments. With automatic speech recognition and natural language processing, intelligent personal assistants (IPAs) have potential in foreign language…
Descriptors: English (Second Language), Speech Communication, English Language Learners, Anxiety
Masumeh Sadat Seyyedrezaei; Mohammad Amiryousefi; Ana Gimeno-Sanz; Mansoor Tavakoli – Computer Assisted Language Learning, 2024
In recent years, there has been an upsurge of interest in the use of computer technologies for L2 writing instruction. Many researchers have empirically investigated the effects of the applications of educational technologies on language learners' writing performance and have highlighted the effectiveness of the use of educational technology in…
Descriptors: Computer Assisted Instruction, English (Second Language), Second Language Instruction, Writing Skills
Kim, Ahyoung Alicia; Monroe, Mira; Lee, Shinhye – Computer Assisted Language Learning, 2022
Previous research on online features embedded in language assessments have been limited to the use of dictionary or spell/grammar check. Few have examined the role of accessibility features in the Kindergarten to Grade 12 (K-12) English learner (EL) context in the U.S. This study examined how K-12 EL educators perceive and instruct online…
Descriptors: Elementary Secondary Education, English Language Learners, English (Second Language), Language Teachers
Riikka Tumelius; Leena Kuure – Computer Assisted Language Learning, 2024
This study is situated in the context of a design-driven master's-level course at a Finnish university where pre-service teachers (PSTs) planned and carried out an online English learning project for 11- to 12-year-old pupils in two schools. During the working process, the PSTs needed to rethink their perceptions of technology-mediated language…
Descriptors: Preservice Teachers, Personal Autonomy, Blended Learning, Language Teachers
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
Danyang Zhang; Sara Hennessy; Pascual Pérez-Paredes – Computer Assisted Language Learning, 2025
The enormous importance of second language learning, paired with the rapid development of mobile-assisted language learning, has led to the increasing use of mobile dictionaries by English as a Foreign Language (EFL) learners at Chinese universities. Although many studies have explored the role of dictionaries in English language learning, few…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Dictionaries
Turgay Han; Elif Sari – Computer Assisted Language Learning, 2024
Feedback is generally regarded as an integral part of EFL writing instruction. Giving individual feedback on students' written products can lead to a demanding, if not insurmountable, task for EFL writing teachers, especially in classes with a large number of students. Several Automated Writing Evaluation (AWE) systems which can provide automated…
Descriptors: Foreign Countries, Automation, Feedback (Response), English (Second Language)
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)
Xiaoming Yang; Jie Hu – Computer Assisted Language Learning, 2024
Previous research has documented that students' reading comprehension performance in learning English as a foreign language (EFL) differs greatly between mobile-assisted and paper-based reading. The present study extends previous work by investigating whether reading cognitive load differs between mobile-assisted and paper-based EFL reading…
Descriptors: Handheld Devices, Printed Materials, Reading Achievement, Reading Comprehension
Ying Zhang – Computer Assisted Language Learning, 2024
The role of practice has been largely overlooked in second/foreign (L2) pragmatics research. Furthermore, very few studies have directly compared the effects of different "practice contexts" (e.g. practice in a telecollaborative context versus practice in a face-to-face context) on L2 learners' pragmatic competence (e.g. in compliment…
Descriptors: Second Language Learning, Telecommunications, Video Technology, In Person Learning
Jingjing Zhu; Xi Zhang; Jian Li – Computer Assisted Language Learning, 2024
Traditional L2 pronunciation teaching puts too much emphasis on explicit phonological knowledge ('knowing that') rather than on procedural knowledge ('knowing how'). The advancement of mobile-assisted language learning (MALL) offers new opportunities for L2 learners to proceduralize their declarative articulatory knowledge into production skills…
Descriptors: Artificial Intelligence, Technology Uses in Education, Pronunciation Instruction, Second Language Instruction
Outi Veivo; Maarit Mutta – Computer Assisted Language Learning, 2025
This study focuses on dialogue breakdowns that can occur in robot-assisted language learning (RALL). Our aim is to analyse how children use gaze to resolve these breakdowns, that is, interruptions in the interaction caused by the robot's inability to understand the children and react appropriately. Our corpus consists of 18 video filmed L2…
Descriptors: Robotics, Technology Uses in Education, Second Language Learning, Interaction
Peichin Chang; Pin-Ju Chen; Li-Ling Lai – Computer Assisted Language Learning, 2024
Machine Translation (MT) tools have advanced to a level of reliability such that it is now opportune to consider their place in language teaching and learning. Given their potential, the current study sought to engage EFL university sophomores in recursive editing afforded by Google Translate (GT) for one semester, and investigated (1) whether the…
Descriptors: Editing, Computer Software, Artificial Intelligence, Translation
Yu-Fen Yang; Wen-Min Hsieh; Wing-Kwong Wong; Yi-Chun Hong; Siao-Cing Lai – Computer Assisted Language Learning, 2024
Foreign Language Anxiety (FLA) is considered a central affective factor influencing English as a Foreign Language (EFL) learning. This study thus developed an online simulation game to create a virtually situated learning environment for reducing EFL primary school students' FLA levels and improving their English vocabulary learning. A total of…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Second Language Instruction