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Thuy Thi-Nhu Ngo; Howard Hao-Jan Chen; Kyle Kuo-Wei Lai – Interactive Learning Environments, 2024
The present study performs a three-level meta-analysis to investigate the overall effectiveness of automated writing evaluation (AWE) on EFL/ESL student writing performance. 24 primary studies representing 85 between-group effect sizes and 34 studies representing 178 within-group effect sizes found from 1993 to 2021 were separately meta-analyzed.…
Descriptors: Writing Evaluation, Automation, Computer Software, English (Second Language)
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)
Assim S. Alrajhi – Cogent Education, 2024
This paper reports on a mixed-methods study delving into EFL students' experiences and perspectives on a text-based pedagogical chatbot. Utilizing chatbot-mediated interaction, a questionnaire survey, and focus group discussions, the study centers around the cognitive and affective domains of learning in relation to the chatbot's affordances and…
Descriptors: Artificial Intelligence, Computer Software, Second Language Learning, Second Language Instruction
Iman El-Nabawi Abdel Wahed Shaalan; Ayman Shaaban Khalifa Ahmad – International Journal of Computer-Assisted Language Learning and Teaching, 2024
This study aimed at probing Egyptian and Saudi English as a Foreign Language (EFL) majors' perceptions of the impact of AI technology on enhancing linguistic competence and predicting the level of linguistic competence development due to the utilisation of AI. The descriptive survey method was used to accomplish the purpose of the study. A 27-item…
Descriptors: Prediction, English (Second Language), Second Language Instruction, Second Language Learning
Montri Tangpijaikul – LEARN Journal: Language Education and Acquisition Research Network, 2025
Despite the significant impact of the lexical approach for vocabulary learning, its classroom implementation has not been uniform. While related activities share the common Observe-Hypothesize-Experiment (OHE) elements, practitioners and researchers do not highlight how language input from the observing stage is turned into output and at what…
Descriptors: Artificial Intelligence, Computer Software, Technology Integration, Teaching Methods
Elisabet Titik Murtisari; Andreas Kukuh Kristianto; Gary Bonar – Foreign Language Annals, 2024
Rapid improvements in the capabilities of machine translation (MT) raise questions about possible increases in overreliance on MT among lower-proficiency or novice level language learners. This study investigated how such learners described their use of online MT for independent reading and writing tasks, and whether this included descriptions…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computational Linguistics
Yihuan Yuan; Jamalludin B. Harun; Zhiru Wang – International Journal of Computer-Assisted Language Learning and Teaching, 2023
As globalization continues to grow, there is an increasing need for skilled interpreters. However, the interpreting skills of many students are still deficient: firstly, they are incapable of understanding the source language clearly; secondly, they are incapable of expressing standard English accurately. Therefore, the purpose of this study is to…
Descriptors: Computer Assisted Instruction, Teaching Methods, Computer Software, Handheld Devices
Senowarsito; Sukma Nur Ardini – Indonesian Journal of English Language Teaching and Applied Linguistics, 2023
The study aimed at investigating the effects of autonomous pronunciation learning using AI as well as the experiences of autonomous pronunciation learning using AI by higher level students. Explanatory sequential mixed-method research using both quantitative and qualitative methods was employed within thirty-two students from Universitas PGRI…
Descriptors: Artificial Intelligence, Suprasegmentals, Pronunciation Instruction, Language Proficiency
Adam Forrester – International Association for Development of the Information Society, 2022
This paper covers the work in progress of an e-platform being developed for language enhancement at a tertiary institution in Hong Kong. There is an actual or perceived concern about the English and Chinese language ability of undergraduate students at certain universities in Hong Kong. One reason for this is that a significant proportion of…
Descriptors: Chinese, Second Language Learning, Second Language Instruction, Undergraduate Students
Nakhon Kitjaroonchai; Pimolporn Sanitchai; Chomphunut Phutikettrkit – Journal of English Teaching, 2024
This study examined the relationships between reading assistant (RA) software usage, reading comprehension ability, and post-TOEIC reading scores among Thai EFL university students. Seventy-six students from a private international university in central Thailand participated. Data were collected from students' pre- and post-TOEIC reading scores…
Descriptors: Correlation, Computer Software, Computer Assisted Instruction, Reading Fluency
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
Dongkawang Shin; Yuah V. Chon – Language Learning & Technology, 2023
Considering noticeable improvements in the accuracy of Google Translate recently, the aim of this study was to examine second language (L2) learners' ability to use post-editing (PE) strategies when applying AI tools such as the neural machine translator (MT) to solve their lexical and grammatical problems during L2 writing. This study examined 57…
Descriptors: Second Language Learning, Second Language Instruction, Translation, Computer Software
J. Dylan Burton – Language Testing, 2024
Nonverbal behavior can impact language proficiency scores in speaking tests, but there is little empirical information of the size or consistency of its effects or whether language proficiency may be a moderating variable. In this study, 100 novice raters watched and scored 30 recordings of test takers taking an international, high stakes…
Descriptors: Nonverbal Ability, Language Fluency, Second Language Learning, Language Proficiency
Panidnad Chulerk; Supachanin Duangchinda Sathianpan; Jintavee Khlaisang – rEFLections, 2025
This research endeavors to assess the efficacy of Mobile Assisted Language Learning (MALL) in elevating students' English proficiency to the Common European Framework of Reference (CEFR) B1 level. The study involves identifying the most suitable mobile application for formative assessment, implementing it to enhance students' English competency,…
Descriptors: Formative Evaluation, Computer Assisted Instruction, Teaching Methods, Telecommunications
Kharis, M.; Kisyani; Suhartono; Yuniseffendri – Journal of Language and Linguistic Studies, 2021
This study aims to evaluate Takarir as the product of the research development reviewed from the look and the results of its translation. This is a qualitative descriptive type of research. Data are obtained from students of German learners who understand translation theory and have the skills of the German language at least B1 level standards the…
Descriptors: Multilingualism, Translation, German, Second Language Learning