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Khong, Hou Keat; Kabilan, Muhammad Kamarul – Computer Assisted Language Learning, 2022
The notion of "Micro-Learning" (ML) has been repeatedly accented as a successful learning approach in different learning phenomena. Despite these optimistic emphases, several studies lack a theoretical grounding in adoption of ML, thus missing a shared perspective of the education community. The scarce theoretical justification for…
Descriptors: Second Language Instruction, Cognitive Processes, Difficulty Level, Self Determination
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Xiaoming Yang; Jie Hu – Computer Assisted Language Learning, 2024
Previous research has documented that students' reading comprehension performance in learning English as a foreign language (EFL) differs greatly between mobile-assisted and paper-based reading. The present study extends previous work by investigating whether reading cognitive load differs between mobile-assisted and paper-based EFL reading…
Descriptors: Handheld Devices, Printed Materials, Reading Achievement, Reading Comprehension
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Christiansen, Iben Maj; Els, Rosanne – Computer Assisted Language Learning, 2021
Few people who did not grow up speaking Zulu have learned the language later. There are limited resources for second language Zulu learning, whether textbooks, readers, or computerised resources. We set out to develop software for this purpose, to support learners' independent learning. Drawing on research on language learning, we used a number of…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Xuyan Qiu – Computer Assisted Language Learning, 2024
Task complexity and communication modes are two task design and implementation factors that have been found to affect second language (L2) learners' oral performance. While increasing task complexity and developing tasks according to the features of face-to-face and computer-mediated communication modes can optimise L2 production, few studies…
Descriptors: Difficulty Level, Second Language Learning, Learner Engagement, Computer Mediated Communication
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Chen, Xiaobin; Meurers, Detmar – Computer Assisted Language Learning, 2019
How can we identify authentic reading material that matches the learner's proficiency and fosters their language development? Traditionally, this involves assigning a one-dimensional label to the text that identifies the grade or proficiency level of the learners that the text is intended for. Such an approach is inadequate given that both the…
Descriptors: Computer Assisted Instruction, Second Language Learning, Language Proficiency, Readability
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Shadiev, Rustam; Huang, Yueh-Min – Computer Assisted Language Learning, 2020
In this study, we applied speech-enabled language translation (SELT) during lectures in a foreign language. The SELT program received input from the instructor's speech and generated translated texts that were shown to students during lectures. We tested the feasibility of our approach specifically with regard to how it facilitates student…
Descriptors: Attention, Cognitive Processes, Difficulty Level, Metacognition
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Hong, Jon-Chao; Hwang, Ming-Yueh; Tai, Kai-Hsin; Lin, Pei-Hsin – Computer Assisted Language Learning, 2021
Remote association requires players to use their mental transformation to identify objects' relationships by activating knowledge application. A Chinese Remote Association game was designed (example question: [characters omitted], where the answer is [character omitted]) to explore learners' cognitive and affective effects, and then eighth grade…
Descriptors: Computer Games, Grade 8, Telecommunications, Handheld Devices
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Lee, Sy-Ying; Lo, Yi-Hsuan Gloria; Chin, Ting-Chin – Computer Assisted Language Learning, 2021
Research has shown that a multiliteracies pedagogy creates more chance for students to meaningfully read and write to develop their critical perspective on cultural issues. This study experimented such a practice in an EFL college context applying a problem-based approach. Sophomore English majors were engaged in recursive reading and writing…
Descriptors: Multiple Literacies, Critical Literacy, English (Second Language), Second Language Learning
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Zhonggen, Yu; Ying, Zhu; Zhichun, Yang; Wentao, Chen – Computer Assisted Language Learning, 2019
After working with a number of scholars for two years, a university designed a mobile learning platform referred to as 'College English IV,' where learners could have easy access to various kinds of learning resources through installing the program in their smart phones. This study aims to identify whether this platform could significantly improve…
Descriptors: Student Satisfaction, Cognitive Processes, Difficulty Level, Telecommunications
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Sundberg, Ross; Cardoso, Walcir – Computer Assisted Language Learning, 2019
This article describes the development of "Bande à Part", a mobile music application (app) for second language (L2) learners of French. Our focus on the pedagogical use of music results from the reported benefits that it offers language learners (e.g., it encourages repetitive exposure to the L2 in an enjoyable way, it extends the reach…
Descriptors: French, Music, Computer Software, Handheld Devices
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Roy, Debopriyo; Brine, John; Murasawa, Fuyuki – Computer Assisted Language Learning, 2016
The act of note-taking offloads cognitive pressure and note-taking applications could be used as an important tool for foreign language acquisition. Its use, importance, and efficacy in a foreign language learning context could be justifiably debated. However, existing computer-assisted language learning literature is almost silent on the topic.…
Descriptors: Foreign Countries, Usability, English (Second Language), Second Language Learning
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Jiang, Dayu; Renandya, Willy A.; Zhang, Lawrence Jun – Computer Assisted Language Learning, 2017
Using the cognitive theory of multimedia learning, this study aimed to evaluate the design of one multimedia courseware used for teaching English as a foreign language (EFL) in China and to compare the attitudinal differences in the teachers' and students' evaluation of the courseware. A questionnaire was developed and validated. Results indicated…
Descriptors: Foreign Countries, Second Language Instruction, English (Second Language), Multimedia Instruction
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Chen, I-Jung; Chang, Chi-Cheng – Computer Assisted Language Learning, 2011
This study investigated whether the modality effect of content presentation modes on students' cognitive load and listening comprehension depends on the moderating effect of the learners' language proficiencies in a mobile learning context. One hundred and sixty-two students majoring in English in a technology university used personal digital…
Descriptors: Electronic Learning, Listening Comprehension, Cognitive Processes, Difficulty Level
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Tozcu, Anjel – Computer Assisted Language Learning, 2008
This study explores the use of the interactive whiteboards in teaching the non-Latin based orthographies of Hindi, Pashto, Dari, Persian (Farsi), and Hebrew. All these languages use non-roman scripts, and except for Hindi, they are cursive. Thus, letters within words are connected and for beginners the script may look quite complicated,…
Descriptors: Internet, Indo European Languages, Alphabets, Second Language Instruction
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Freese, Anne Reilley – Computer Assisted Language Learning, 1997
Reviews the findings of some recent research on reading rate, comprehension, and subvocal speech; discusses how computer-assisted instruction can be used to help readers develop reading strategies for proficiency; and examines the implications of the research for software development, including drill and practice, reading process practice at…
Descriptors: Computer Assisted Instruction, Computer Software Development, Difficulty Level, Educational Technology