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Ruofei Zhang; Di Zou – Computer Assisted Language Learning, 2024
Self-regulated learning has been frequently investigated and reported to be effective for second language education, so increasingly more researchers and educators have been interested in cultivating self-regulated second language learners. To assist researchers and educators, it appears beneficial to review previous studies concerning the…
Descriptors: Metacognition, Second Language Instruction, Second Language Learning, Research Reports
Xin An; Ching Sing Chai; Yushun Li; Ying Zhou; Bingyu Yang – Computer Assisted Language Learning, 2025
To address the emerging trend of language learning with Artificial Intelligence (AI), this study explored junior and senior high school students' behavioral intentions to use AI in second language (L2) learning, and the roles of related technological, social, and motivational factors. An eight-factor survey was constructed using a 5-point Likert…
Descriptors: Educational Trends, Trend Analysis, Second Language Learning, Second Language Instruction
Azizullah Mirzaei; Hanieh Shafiee Rad; Ebrahim Rahimi – Computer Assisted Language Learning, 2024
The Attention, Relevance, Confidence, and Satisfaction (ARCS) model provides a basis for integrating motivational dynamics and technological affordances into the design and implementation of instructions to maintain learner motivation and interest. Little attention has been paid to this potential in teaching the complex and often demotivating…
Descriptors: Flipped Classroom, English (Second Language), Second Language Learning, Second Language Instruction
Jaeho Jeon – Computer Assisted Language Learning, 2024
Professionals within the field of language learning have predicted that chatbots would provide new opportunities for the teaching and learning of language. Despite the assumed benefits of utilizing chatbots in language classrooms, such as providing interactional chances or helping to create an anxiety-free atmosphere, little is known about…
Descriptors: Computer Assisted Instruction, Artificial Intelligence, Learning Analytics, Computer Software
Wu-Yuin Hwang; Bo-Chen Guo; Anh Hoang; Ching-Chun Chang; Nien-Tsu Wu – Computer Assisted Language Learning, 2024
This study introduced an app, called Smart UEnglish, for helping EFL conversation practices in authentic contexts. These conversation practices were categorized into 'designed talk' and 'free talk', based on the content of an English textbook and authentic ambient environment that includes such things as transportation, weather and scenic…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Lai, Kuo-Wei Kyle; Chen, Hao-Jan Howard – Computer Assisted Language Learning, 2023
Research on vocabulary acquisition in digital game-based learning has been increasing over the years, with advancements in technology giving rise to numerous learning alternatives in second language acquisition. As virtual reality gaming offers new opportunities to explore its effectiveness in language learning, it is thus important to investigate…
Descriptors: Vocabulary Development, Game Based Learning, Second Language Learning, Second Language Instruction
Zhengdong Gan; Christopher Fulton; Siying Li – Computer Assisted Language Learning, 2024
This article presents the development and validation of the Pre-Service EFL Teachers' Motivational Beliefs about Instructional Use of Technology scale (PTMB-EFL) using a randomly split sample. Confirmatory factor analysis supported a 23-item six-factor structure of the PTMB-EFL generated from exploratory factor analysis. Significant correlations…
Descriptors: Preservice Teachers, English (Second Language), Language Teachers, Teacher Motivation
Peng, Hongying; Jager, Sake; Lowie, Wander – Computer Assisted Language Learning, 2022
Mobile technologies provide opportunities for L2 learners to engage in complex interactions involving a multitude of cognitive, meta-cognitive, and affective factors. Understanding the process of learners' mobile language learning thus needs holistic approaches that integratively consider learner attributes and their interaction with mobile…
Descriptors: Second Language Learning, Second Language Instruction, Telecommunications, Handheld Devices
Li, Rui; Meng, Zhaokun; Tian, Mi; Zhang, Zhiyi; Xiao, Wei – Computer Assisted Language Learning, 2021
Although digital game-based vocabulary learning (DGBVL) has attracted considerable attention, factors attributing to the facilitative effects of DGBVL have not yet been satisfactorily understood. To this end, under the theoretical framework of flow theory, this study investigates the effects of flow experiences on Chinese…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Feedback (Response)
Wu, Wen-Chi Vivian; Yang, Jie Chi; Scott Chen Hsieh, Jun; Yamamoto, Tosh – Computer Assisted Language Learning, 2020
Motivation has played an essential role in learning, leading to various research areas across diverse disciplines. While the literature is replete with findings supporting the essentiality of motivation in an individual's academic success, demotivation (a.k.a. negative motivation) has been underexplored, even though it has been a widespread…
Descriptors: English (Second Language), Second Language Instruction, Writing (Composition), Writing Instruction
Cheng, Ching-Hsue; Chen, Chung-Hsi – Computer Assisted Language Learning, 2022
Many scholars have highlighted the importance of motivation and anxiety in language learning. They have also indicated the advantages of integrating learning content into a mobile-assisted English learning system environment. Meanwhile, a few studies have explored the impacts of a mobile-assisted English learning system on the motivation and…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Student Attitudes
Bai, Barry; Wang, Jing; Zhou, Huixuan – Computer Assisted Language Learning, 2022
The present study reports on the effects of a self-regulated (SRL) writing strategy-based intervention supported with e-learning tools on SRL strategy use in English writing with 468 Hong Kong primary school students. The changes to the students' motivation in English writing, and their e-learning acceptance were also measured. The study adopted a…
Descriptors: Metacognition, Writing Instruction, Elementary School Students, Intervention
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
Wang, Na; Chen, Juanwen; Tai, Mankin; Zhang, Jingyuan – Computer Assisted Language Learning, 2021
This article reports the design of a course blended through a small private online course in a Chinese university EFL context, with an emphasis on the blended learning environment created thereby and on learners' perceptions of their blended learning. In a survey-based approach, 1603 students' experiences of blended EFL learning in two consecutive…
Descriptors: Blended Learning, Online Courses, Second Language Learning, Second Language Instruction
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

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