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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)
Nouf J. Aljohani – Computer Assisted Language Learning, 2025
This paper proposes an updated framework for the evaluation of the computer-assisted language learning (CALL) framework, further developed from Chapelle (2001) and González-Lloret and Ortega (2014). Based on a review of prominent previous CALL evaluation frameworks, an exploration of relevant literature in formal evaluation and my own first-hand…
Descriptors: Task Analysis, Second Language Learning, Second Language Instruction, Computer Assisted Instruction
Asma Alsahil – Computer Assisted Language Learning, 2024
Despite the plethora of research on computer-supported collaborative writing, previous studies have failed to provide an adequate analysis of the quality and quantity of multi-authored texts due to the vast amount of unstructured data. This study aims to expand the current research by contributing new perspectives to the understanding of students'…
Descriptors: Collaborative Writing, English (Second Language), Second Language Learning, Advanced Courses
Diem Thi Ngoc Hoang; Thinh Hoang – Computer Assisted Language Learning, 2024
The purpose of this study was to investigate the possible effects of conducting regular collaborative activities via Google Docs on English academic writing skills. Utilising a mixed methods design, this study was conducted with 24 Vietnamese high school students who participated in a fully online English as a foreign language (EFL) course in…
Descriptors: English (Second Language), Second Language Learning, Academic Language, Writing Skills
Chen Hsieh, Jun; Lee, Ju Seong – Computer Assisted Language Learning, 2023
While recent years have witnessed increasing attention to technology-enhanced language learning, investigation regarding how technologies facilitate digital storytelling outcomes among middle school students in English-as-a-foreign-language contexts remains insufficiently explored. Studies concerning the effects of different presentation modes…
Descriptors: Story Telling, Outcomes of Education, Psychological Patterns, Academic Persistence
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
Marjan Ebadijalal; Nouroddin Yousofi – Computer Assisted Language Learning, 2024
The current mixed-methods study aimed at incorporating a virtual reality (VR) tool (i.e. Google Expeditions) into the writing process of Iranian English as a foreign language (EFL) learners, examining its impact on their writing motivation and performance. To that end, 42 EFL learners were randomly assigned to experimental and control groups,…
Descriptors: Computer Software, Maps, Geography, English (Second Language)
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
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
Huang, Ping-Yu; Tsao, Nai-Lung – Computer Assisted Language Learning, 2021
In this article, we describe an online English collocation explorer developed to help English L2 learners produce correct and appropriate collocations. Our tool, which is able to visually represent relevant correct/incorrect collocations on a single webpage, was designed based on the notions of collocation clusters and intercollocability proposed…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Error Correction
Xinghua Wang; Hui Pang; Matthew P. Wallace; Qiyun Wang; Wenli Chen – Computer Assisted Language Learning, 2024
This study investigated the application of an artificial intelligence (AI) coach for second language (L2) learning in a primary school involving 327 participants. In line with Community of Inquiry, learners were expected to perceive social, cognitive, and teaching presences when interacting with the AI coach, which was considered a humanized…
Descriptors: Artificial Intelligence, Second Language Instruction, Second Language Learning, Student Attitudes
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
Guoyuhui Huang; Khe Foon Hew – Computer Assisted Language Learning, 2024
Over the past two decades, the Involvement Load Hypothesis (ILH) has become a popular buzzword in the field of Second Language Acquisition (SLA). Although applications of the ILH can improve students' learning of productive vocabulary, this effect appears to be transitory. Students' learning of productive vocabulary often fades over time, as shown…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, Vocabulary Development
Jeon, Jaeho – Computer Assisted Language Learning, 2023
This study investigated the effect of Chatbot-Assisted Dynamic Assessment (CA-DA) on vocabulary learning and provided insights into learner abilities drawn from its implementation. Through the use of mediating chatbots, this study implemented DA to multiple learners simultaneously and provided each learner with human-like interaction. The chatbots…
Descriptors: Elementary School Students, Vocabulary Development, Technology Uses in Education, Man Machine Systems