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Esra Atalan; Gonca Subasi – Turkish Online Journal of Educational Technology - TOJET, 2023
Developing the ability to pronounce a word clearly is an essential component of oral communication. Hence, the present study aims to examine how the use of Quizlet, a digital flashcard tool, can contribute to enhancing the pronunciation abilities of 9th-grade Turkish EFL students at a state high school in Gaziantep. The study included a total of…
Descriptors: Teaching Methods, Second Language Learning, Second Language Instruction, Computer Software
Rezuanova, Galiyapanu; Bulatbayeva, Kulzhanat; Smagulova, Markhaba; Tynybayeva, Madina; Schnaider, Vladimir; Zhukenova, Alma – International Journal of Education in Mathematics, Science and Technology, 2023
The purpose of this study is to examine the effect of computer-assisted instruction on the language achievement (Kazakh, English and Russian) and attitudes of university students who will work in general education schools in the future. In line with this purpose, pre-test post-test model with control group was applied in the study. The study group…
Descriptors: Bilingual Education, Multilingualism, Computer Assisted Instruction, Academic Achievement
Mark Feng Teng – Computer Assisted Language Learning, 2025
Working memory (WM) may be an essential component of incidental vocabulary learning and retention from captioned videos. However, how WM affects young learners' incidental vocabulary learning under different types of captions remains unclear. The present study employs a between-subject research design. The main purpose is to examine how two types…
Descriptors: Captions, Incidental Learning, Vocabulary Development, English (Second Language)
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
Chinkina, Maria; Ruiz, Simón; Meurers, Detmar – ReCALL, 2020
How can state-of-the-art computational linguistic technology reduce the workload and increase the efficiency of language teachers? To address this question, we combine insights from research in second language acquisition and computational linguistics to automatically generate text-based questions to a given text. The questions are designed to…
Descriptors: Computational Linguistics, Computer Assisted Testing, Computer Assisted Instruction, Second Language Instruction
Lai, Shu-Li; Chang, Jason S. – ReCALL, 2020
In this process-based study, we introduced a collocation tool with a new interface and advanced search features and examined how a class of EFL college students interacted with it. To elicit their tool consultation behaviors, a vocabulary test with collocation questions was designed. The students' use of the tool to answer the vocabulary questions…
Descriptors: College Students, Second Language Learning, English (Second Language), Computer Assisted Instruction
Imsa-Ard, Pariwat; Tangkiengsirisin, Supong – rEFLections, 2023
The escalating incorporation of digital pedagogical technology in higher education, particularly in the post-pandemic period, posits a potential evolution in the paradigm of language instruction and assessment. The focal point of this research is to uncover the digitally-mediated language assessment practices (D-LAP) employed by Thai EFL lecturers…
Descriptors: Computer Assisted Instruction, Student Evaluation, Language Tests, Second Language Learning
Ken Nee Chee – Best Evidence in Chinese Education, 2024
Background: As technology continues to advance, language acquisition methodologies have increasingly been integrated into computer-assisted language learning (CALL) systems. In the context of Chinese language acquisition, characters are structured in three phases: the overall character, its components, and its strokes. Proficiency in identifying…
Descriptors: Reading Instruction, Computer Assisted Instruction, Chinese, Language Proficiency
Ali Al Ghaithi; Behnam Behforouz; Hassan Isyaku – Turkish Online Journal of Distance Education, 2024
This study tried to design a WhatsApp bot to be implemented in English language vocabulary learning context in Oman. 150 Omani English as a Foreign Language (EFL) students from three different proficiency levels were selected based on random sampling. To measure the effectiveness of the treatment, pretests, posttests, and delayed posttests were…
Descriptors: Computer Software, Teaching Methods, Computer Assisted Instruction, Student Attitudes
Naccache, Hiba; Altae, Mayamin; Al-Own, Fatima Abdulla – Journal of Educational Technology Systems, 2023
This paper studies the effect of implementing a new Arabic language learning software Test Survey for Students (TSFS) developed by the researchers and marketed as brain training software for primary students on language skills using Science, Technology, Arts, and Mathematics (STEAM) subjects. The teaching of Arabic language via computer-assisted…
Descriptors: Computer Assisted Instruction, Native Language Instruction, Arabic, Computer Software
Sequeira Cesar de Oliveira, Juliana – ProQuest LLC, 2023
The present study sought to evaluate trial designs and training designs that are commonly used in popular commercially available computer-assisted language-learning (CALL) programs. The first two experiments (Experiment 1a and 1b) compared the effects of passive viewing and active student response methods in vocabulary learning. Contingencies on…
Descriptors: Computer Assisted Instruction, Teaching Methods, Computer Software, Vocabulary Development
Dao, Phung; Duong, Phuong-Thao; Nguyen, Mai Xuan Nhat Chi – Computer Assisted Language Learning, 2023
This study investigated the effects of synchronous computer-mediated communication (SCMC) mode and interlocutor familiarity on frequency and characteristics of peer feedback in L2 interaction. Fifty dyads of EFL learners were equally assigned into familiar (+/--) groups and performed an interactive task in two SCMC modes (text/video-chats). After…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
Heng Lu – PASAA: Journal of Language Teaching and Learning in Thailand, 2023
The test view is on the Duolingo English Test (DET), an alternative online English proficiency test with a machine-driven characteristic. The review covers essential information of the DET such as test purpose, usage, score-mapping with CEFR scale, price, and publisher. Meanwhile, the test usefulness is discussed with focuses on reliability,…
Descriptors: Computer Software, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
Simin Ren; Paul Seedhouse – Classroom Discourse, 2024
We present "doing language testing" sequences; L2 learners decide for themselves to test themselves or each other explicitly on new linguistic items, outside the official task cycle with no professional present, investing extra time and energy. We examine how and why pairs of learners do this, and its impact on their learning. They use…
Descriptors: Second Language Learning, Second Language Instruction, Language Tests, Computer Software
Masoud Rahimi; Jalil Fathi; Di Zou – Education and Information Technologies, 2025
Grounded in the activity theory, we adopted a sequential explanatory mixed-methods approach to explore the impact of automated written corrective feedback (AWCF) on English as a foreign language (EFL) learners' academic writing skills (i.e. task achievement, coherence and cohesion, lexicon, and grammatical range and accuracy). To this end, two…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Tests