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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
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
Zhai, Na; Ma, Xiaomei – Computer Assisted Language Learning, 2022
Automated writing evaluation (AWE) has been used increasingly to provide feedback on student writing. Previous research typically focused on its inter-rater reliability with human graders and validation frameworks. The limited body of research has only discussed students' attitudes or perceptions in general. A systematic investigation of the…
Descriptors: Automation, Writing Evaluation, Feedback (Response), College Students
Aryadoust, Vahid; Ng, Li Ying; Foo, Stacy; Esposito, Gianluca – Computer Assisted Language Learning, 2022
This is the first study to investigate the effects of test methods (while-listening performance and post-listening performance) and gender on measured listening ability and brain activation under test conditions. Functional near-infrared spectroscopy (fNIRS) was used to examine three brain regions associated with listening comprehension: the…
Descriptors: Listening Comprehension, Listening Comprehension Tests, Testing, Cognitive Processes
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
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
Lee, Cynthia – Computer Assisted Language Learning, 2020
The aim of this article is to reveal the ways in which six 14- to 15-year-old second language (L2) learners, two each of high, mid, and low English proficiency levels were cognitively engaged in writing while using an automated content feedback program known as the Essay Critiquing System 2.0 in three out of five workshops in a Hong Kong secondary…
Descriptors: Adolescents, Automation, Feedback (Response), Computer Assisted Instruction
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
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
Ranalli, Jim – Computer Assisted Language Learning, 2018
Automated written corrective feedback (AWCF) has qualities that distinguish it from teacher-provided WCF and potentially undermine claims about its value for L2 student writers, including disparities in the amounts of useful information it provides across error types and the fact that inaccuracies in error-flagging must be anticipated. It remains…
Descriptors: Error Correction, Feedback (Response), Computer Assisted Instruction, Second Language Learning
Evaluating ELT Multimedia Courseware from the Perspective of Cognitive Theory of Multimedia Learning
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
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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