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Kun Dou; Huzaina Abdul Halim; Mohd Rashid Mohd Saad – European Journal of Education, 2025
Despite the rapid growth of integrating language learning applications into educational settings, limited studies have reported students' continuance intention to use mobile English learning applications in the mobile-assisted language learning (MALL) context. This study extended the expectation confirmation model (ECM) with mobile self-efficacy…
Descriptors: Telecommunications, Handheld Devices, Computer Assisted Instruction, Teaching Methods
Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
Made Aryawan Adijaya; I. Ketut Armawan; Maria Goreti Rini Kristiantari – International Journal of Language Education, 2023
Learning activities need to facilitate vocational students in learning independently. It certainly has an impact on students' low understanding and skills. This research aims to develop Mobile-Assisted Language Learning (MALL) for Vocational Education. This type of research is development research. The development model used is the ADDIE model.…
Descriptors: Vocational Education, Computer Assisted Instruction, Telecommunications, Handheld Devices
Yue Zhang; Guangxiang Liu – Computer Assisted Language Learning, 2024
Informal digital learning of English (IDLE) is an increasingly important subfield of inquiry in Computer-Assisted Language Learning (CALL) for its concentration on the language learning practices of the digital native EFL students in out-of-class contexts. Attention in mainstream research of IDLE has been directed to (meta)cognition, learning…
Descriptors: Informal Education, English (Second Language), Second Language Learning, Second Language Instruction
Danh Thanh Ly – International Society for Technology, Education, and Science, 2024
In an era of rapid technological growth in education, both teachers and students alike must adapt to up-to-date learning and teaching paradigms. Liveworksheets is advantageous in offering students a compilation of interactive sheets that provide instant online feedback. Nevertheless, whether utilizing Liveworksheets in self-study is efficient has…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Worksheets
Yizhuo Zhou; Xuande Wu; Kunyang Qu – Language Teaching Research Quarterly, 2024
Recent advancements in artificial intelligence, particularly OpenAI's ChatGPT, have transformed English language learning through Computer-Assisted Language Learning (CALL) tools. This study examined the adoption of ChatGPT among university-level English learners employing the Hedonic Motivation System Adoption Model (HMSAM). An online survey was…
Descriptors: Artificial Intelligence, Computer Software, English (Second Language), Second Language Learning
Amir Reza Rahimi – Computer Assisted Language Learning, 2025
A research study on the L2 Motivational Self-systems (L2MSS) and technology acceptance of Foreign Language Learners (EFL) in relation to Language Massive Open Online Courses (LMOOCs) is warranted. In response, 336 Iranian EFL learners participated in three LMOOC platforms, learned language online in line with their language institutes, and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, MOOCs
Sara Sadat Hosseini; Hassan Soleimani; Fatemeh Hemmati; Jafar Afshinfar – Iranian Journal of Language Teaching Research, 2025
From the complex dynamic systems theory perspective, evaluating CALL pedagogy involves miscellaneous variables. It seems the ecosystem of the CALL environment necessitates an array of extralinguistic (Ecolinguistically situated) issues to be considered in any appraisal of the CALL milieu. To this end, this paper aims to develop and validate a…
Descriptors: Computer Assisted Instruction, Second Language Instruction, Second Language Learning, Factor Analysis
Rahman, Anwar; Wibawa, Basuki; Sumantri, Syarif – Education Quarterly Reviews, 2022
Tourism development in Lampung province has been developing rapidly and the need for English communication skills at the tourism workplace is highly required due to a lot of visitors are foreigners. The state Polytechnic of Lampung has opened a new program study of tour and travel to support the government in the tourism sector and train students…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Tourism
Shijiao Jia; Zhaoxia Lu – Journal of Information Technology Education: Research, 2025
Aim/Purpose: This study examines the effects of the mobile-assisted task-based language teaching (M-TBLT) approach on EFL learners' oral production. It evaluates three key second language acquisition measures: complexity (syntactic and lexical), accuracy (error-free clauses and correct verb forms), and fluency (unpruned and pruned speech rates).…
Descriptors: Oral Language, Task Analysis, Second Language Learning, Second Language Instruction
Rivers, Damian J. – Journal of Educational Computing Research, 2021
Computer-mediated learning initiatives have recently increased due to the novel coronavirus pandemic. Implications are thus created for self-regulation, learning and achievement as computer-mediated learners face unique motivational and metacognitive demands. The current research uses a serial mediation approach to test the effect of goal…
Descriptors: Computer Assisted Instruction, Second Language Learning, Second Language Instruction, English (Second Language)
Marek, Michael W. – International Journal of Computer-Assisted Language Learning and Teaching, 2020
This article proposes a Standard Model of CALL, i.e., a compilation of fundamental theories and practices that should always be considered when creating an instructional design for the Computer Assisted Language Learning (CALL). This proposed model is inspired by the standard model of physics which is the widely accepted understanding about how…
Descriptors: Instructional Design, Second Language Instruction, English (Second Language), Second Language Learning
Zhao, Helen; MacWhinney, Brian – Modern Language Journal, 2018
This article analyzes the instructed learning of the English article system by second language (L2) learners. The Competition Model (MacWhinney, 1987, 2012) was adopted as the theoretical framework for analyzing the cues to article usage and for designing effective computer-based article instruction. Study 1 found that article cues followed a…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Cues
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
Yeh, Hui-Chin; Tseng, Sheng-Shiang – Educational Technology & Society, 2019
Although teacher training programs can deliver knowledge of ways to integrate technology into English as a Foreign Language (EFL) lessons, teachers may not achieve sustainable improvement in their Computer Assisted Language Learning (CALL) professional knowledge as they cannot not reflect on the effectiveness of their lessons through actual…
Descriptors: Computer Assisted Instruction, Language Teachers, English (Second Language), Second Language Learning