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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
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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
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Okim Kang; Maria Kostromitina; Xun Yan; Ron I. Thomson; Talia Isaacs – Language Assessment Quarterly, 2025
There has been much debate in assessment research about the inclusion of Global English accents in high-stakes listening tests. This study explored test-takers' attitudes toward the inclusion of different English accents in the Duolingo English Test (DET) 2021 test version and their associations with listening test scores. One hundred sixty…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Computer Software
Katherine I. Kang – ProQuest LLC, 2022
This study investigates the effects of four online vocabulary tasks on second language (L2) vocabulary acquisition among learners of different proficiency levels. While tasks are widely used to support L2 vocabulary learning, the efficacy of a task depends on the interplay between task and learner factors. Thus, choosing an appropriate task…
Descriptors: Vocabulary Development, Second Language Learning, Second Language Instruction, Language Proficiency
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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
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Kim, Na-Young – English Teaching, 2022
The purpose of this study was to examine the impacts of AI-integrated MALL on Korean students' TOEIC preparation, by comparing with AI-integrated CALL. A total of 496 freshmen students participated in this study. They were arbitrarily assigned to AI CALL (n = 190), AI MALL (n = 164), and the control (n = 132) groups. During a 2021 academic…
Descriptors: English (Second Language), Second Language Learning, Language Tests, Test Preparation
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Andrea Révész; Matthew Stainer; Jookyoung Jung; Minjin Lee; Marije Michel – Language Learning & Technology, 2023
Eye-tracking is primarily used as a tool to capture attentional processes in second language (L2) research. However, it is feasible to design visual displays that can react to and interact with eye-movements in technology-mediated contexts. We explored whether gaze-contingency can foster L2 development by drawing attention to novel words…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Attention Control
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Divekar, Rahul R.; Drozdal, Jaimie; Chabot, Samuel; Zhou, Yalun; Su, Hui; Chen, Yue; Zhu, Houming; Hendler, James A.; Braasch, Jonas – Computer Assisted Language Learning, 2022
Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to international immersion programs. However, research in multi-modal spoken dialogue in L2 combined with immersive technologies and collaborative learning…
Descriptors: Second Language Learning, Language Acquisition, Artificial Intelligence, Computer Simulation
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Henderson-Faranda, Natalia R.; Newbury, Jayne; Sutherland, Dean – Australian Journal of Learning Difficulties, 2022
Many children on the autism spectrum have difficulty developing reading comprehension skills. This multiple phase single case design pilot study examined the impact of a computer-assisted reading tool, Reading Eggspress™, with or without teacher directed instruction on the reading comprehension skills of four children on the autism spectrum (mean…
Descriptors: Reading Comprehension, Reading Instruction, Teacher Attitudes, Parent Attitudes
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Muftah, Muneera – Journal of Applied Research in Higher Education, 2023
Purpose: Web-based language learning (WBLL) materials have long been favored by English language instructors because they are plentiful, easily accessible, user-friendly and, most importantly, free. This research looks into the effects of learning the simple perfect tense translation in three different English translation classes that used three…
Descriptors: Web Based Instruction, Second Language Learning, Second Language Instruction, Translation
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Yassin, Baderaddin; Abugohar, Mohammed Abdulgalil – Teaching English with Technology, 2022
The lack of opportunities to practice the English language outside the English as a Foreign Language (EFL) classroom can prevent English language learners (ELLs) from promoting their language proficiency to high standards. This lack makes the progress from one level of English to the next one a hard mission for Arab students. Subsequently,…
Descriptors: Gamification, Computer Assisted Instruction, Handheld Devices, Second Language Learning
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Alzahrani, Saad – Journal of Interactive Learning Research, 2021
This article presents a systematic instructional design procedure to develop a Computer-Assisted Vocabulary Acquisition (CAVA) software in a consistent and reliable way. The design process involves ADDIE fundamental elements: Analyse, Design, Development, Implementation, and Evaluation. This article will describe in detail each of the five ADDIE…
Descriptors: Computer Assisted Instruction, Instructional Design, Teaching Methods, Vocabulary Development
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Gu, Lin; Davis, Larry; Tao, Jacob; Zechner, Klaus – Assessment in Education: Principles, Policy & Practice, 2021
Recent technology advancements have increased the prospects for automated spoken language technology to provide feedback on speaking performance. In this study we examined user perceptions of using an automated feedback system for preparing for the TOEFL iBT® test. Test takers and language teachers evaluated three types of machine-generated…
Descriptors: Audio Equipment, Test Preparation, Feedback (Response), Scores
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Kilickaya, Ferit – Online Submission, 2019
Much has been written about the influence of various factors that affect learners' retention of course contents in various contexts and at various levels. However, few studies have focused on the factors that may both affect and indicate the organization of materials or contents presented to learners. This study aims to determine the effects of…
Descriptors: Computer Assisted Instruction, Teaching Methods, Grammar, English (Second Language)
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Kyle, Kristopher; Choe, Ann Tai; Eguchi, Masaki; LaFlair, Geoff; Ziegler, Nicole – ETS Research Report Series, 2021
A key piece of a validity argument for a language assessment tool is clear overlap between assessment tasks and the target language use (TLU) domain (i.e., the domain description inference). The TOEFL 2000 Spoken and Written Academic Language (T2K-SWAL) corpus, which represents a variety of academic registers and disciplines in traditional…
Descriptors: Comparative Analysis, Second Language Learning, English (Second Language), Language Tests
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