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Michal B. Paradowski; Magdalena Jelinska – Computer Assisted Language Learning, 2024
Learning a foreign language is a long-term process requiring persistence and a willingness to engage in activities that will help develop communicative competence. An important role on the way to achieving linguistic proficiency is played by L2 grit. However, foreign language learners differ in the intensity of this trait. We identify the most…
Descriptors: Second Language Learning, Electronic Learning, Online Courses, Predictor Variables
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
Hsu, Liwei – Computer Assisted Language Learning, 2023
The Language Massive Open Online Courses (LMOOCs) is a new platform of computer assisted language learning (CALL); since most LMOOCs witness high dropout rates, empirical evidence on English as a Foreign Language (EFL) learners' motivation to accept and utilize LMOOCs for English language learning is warranted. This study recruited 237 Taiwanese…
Descriptors: English (Second Language), Second Language Learning, Self Determination, MOOCs
Ghorbani, Mohammad Reza; Golparvar, Seyyed Ehsan – Computer Assisted Language Learning, 2020
The purpose of this research is to model the link between language learners' socioeconomic status (SES), their self-directed, technology-enhanced language learning, and their language achievement. The participants of this study are 382 university students taking part in a survey related to their perceptions of their self-directed,…
Descriptors: Socioeconomic Status, Technology Integration, Second Language Learning, English (Second Language)
Yüksel, H. Gülru; Mercanoglu, H. Güldem; Yilmaz, M. Betül – Computer Assisted Language Learning, 2022
Growing research suggests that digital flashcards may facilitate students' technical vocabulary learning efforts. The primary purpose of this quasi-experimental study was to compare the effect of digital flashcards (DFs) and wordlists on learning technical vocabulary as well as to explore students' perceptions regarding the use of DFs. Using…
Descriptors: Educational Technology, Language Tests, Vocabulary Development, Comparative Analysis
Tecedor, Marta; Perez, Alejandro – Computer Assisted Language Learning, 2021
This manuscript contributes to the existing body of literature on learner training in computer-enhanced learning environments by examining how students conceptualize and experience their roles as learners in flipped Spanish courses and how these interpretations shape their behaviors and beliefs about learning under this new instructional approach.…
Descriptors: Flipped Classroom, Computer Assisted Instruction, Spanish, Second Language Learning
Yang, Juan; Thomas, Michael S. C.; Qi, Xiaofei; Liu, Xuan – Computer Assisted Language Learning, 2019
From a psycholinguistic perspective of view, there are many cognitive differences that matter to individuals' second-language acquisition (SLA). Although many computer-assisted tools have been developed to capture and narrow the differences among learners, the use of these strategies may be highly risky because changing the environments or the…
Descriptors: Foreign Countries, Cognitive Ability, Phonological Awareness, English Teachers
Bodnar, Stephen; Cucchiarini, Catia; Strik, Helmer; van Hout, Roeland – Computer Assisted Language Learning, 2016
A major aim of computer-assisted language learning (CALL) is to create computer environments that facilitate students' second language (L2) acquisition. To achieve this aim, CALL employs technological innovations to create novel types of language practice. Evaluations of the new practice types serve the important role of distinguishing effective…
Descriptors: Second Language Instruction, Second Language Learning, Student Motivation, Program Evaluation
Hong, Jon-Chao; Hwang, Ming-Yueh; Tai, Kai-Hsin; Lin, Pei-Hsin – Computer Assisted Language Learning, 2017
Students of Southeast Asian Heritage Learning Chinese (SSAHLC) in Taiwan have frequently demonstrated difficulty with traditional Chinese (a graphical character) radical recognition due to their limited exposure to the written language form since childhood. In this study, we designed a Chinese radical learning game (CRLG), which adopted a drill…
Descriptors: Motivation, Electronic Learning, Self Efficacy, Academic Achievement
Su, You; Li, Yanyan; Liang, Jyh-Chong; Tsai, Chin-Chung – Computer Assisted Language Learning, 2019
In recent years, there has been an increasing interest among language educators in implementing and researching collaborative learning in wiki-based learning environments. However, little empirical evidence has been reported about the role of EFL learners' online self-regulating capacity in their collaborative learning. This study used wiki-based…
Descriptors: Metacognition, English (Second Language), Second Language Learning, Second Language Instruction
Rubio, Fernando; Thomas, Jonathan M.; Li, Qin – Computer Assisted Language Learning, 2018
This chapter describes a study of a blended language course that combines face-to-face (F2F) instructional time with an online component. The purpose of the study is to understand how teachers and students exploit the complementarity of the two delivery formats to improve the learning experience. The study first examines how the presence of an…
Descriptors: Student Participation, Blended Learning, Second Language Learning, Second Language Instruction
Kim, Jungtae; Craig, Daniel A. – Computer Assisted Language Learning, 2012
Videoconferencing offers new opportunities for language testers to assess speaking ability in low-stakes diagnostic tests. To be considered a trusted testing tool in language testing, a test should be examined employing appropriate validation processes [Chapelle, C.A., Jamieson, J., & Hegelheimer, V. (2003). "Validation of a web-based ESL…
Descriptors: Speech Communication, Testing, Language Tests, Construct Validity
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
Perez Canado, Maria Luisa – Computer Assisted Language Learning, 2010
This article reports on a quasi-experimental investigation with a pre-test/post-test control group design carried out in the second semester of the academic year 2006-2007 with Spanish pre-service English teachers at the University of Jaen in Spain. Its aim was to determine whether the use of virtual learning environments (VLE) and…
Descriptors: Control Groups, Computer Mediated Communication, Foreign Countries, Vocabulary Development