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Showing 1 to 15 of 131 results Save | Export
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Adnan Shehadeh – Anatolian Journal of Education, 2024
This study aimed to investigate students' reflections on using smartphones to enhance vocabulary learning. The sample consisted of 64 college students enrolled in required English as a Foreign Language (EFL) reading course. A twenty-two-item questionnaire was developed to elicit students' reflections on their experiences in terms of three aspects;…
Descriptors: Telecommunications, Handheld Devices, English (Second Language), Second Language Instruction
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Jing Wu – JALT CALL Journal, 2024
Since ineffective foreign language (FL) vocabulary teaching has been shown in the higher education of mainland China, this study aims to achieve a satisfactory vocabulary teaching outcome through the construction of a computer-based systematic vocabulary teaching mode. Based on constructivism, the mode was established with three essential teaching…
Descriptors: Second Language Instruction, Vocabulary Development, Computer Assisted Instruction, Undergraduate Students
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Bridey Lea; Myfany Turpin; Joel Liddle Perrurle – Innovation in Language Learning and Teaching, 2025
Purpose: In recent years, digital projects have created tools for learning languages, such as mobile applications (apps). In contexts where the language has low prestige, innovative digital learning tools can support language revitalisation. This article takes the Australian Kaytetye Indigemoji app as a case study in community resource…
Descriptors: Second Language Learning, Second Language Instruction, Foreign Countries, Computer Software
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Tahereh Boroughani; Ismail Xodabande; Sedigheh Karimpour – Discover Education, 2023
The present study explored the impact of mobile-assisted self-regulated learning (SRL) on developing university students' knowledge of academic vocabulary in English. The participants were 49 students in experimental (N = 28) and control (N = 21) learning conditions. Those in the experimental group studied 70 academic words using digital…
Descriptors: Learning Strategies, Self Management, Handheld Devices, College Students
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Lijuan Feng – Journal of Educational Computing Research, 2025
This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Suttiya Khongyai; Jutarat Vibulphol – International Education Studies, 2025
This research studied self-directed learning in online English reading of seven secondary school students who attended a ten-week Computer-Assisted Language Learning (CALL) learner training. The CALL learner training was sequenced using Knowles's (1975) six steps of self-directed learning, which were setting climate, analyzing needs, setting…
Descriptors: Independent Study, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Ruofei Zhang; Di Zou; Gary Cheng – Language Learning & Technology, 2023
Since 2000, technology-enhanced L2 listening development (TELD) has been increasingly investigated. However, systematic reviews concerning the technologies, learning tasks, and outcomes of TELD remain limited. To fill this gap, we conducted a systematic review of publications from 2000 to 2022 on TELD from the perspectives of technologies,…
Descriptors: Second Language Learning, Second Language Instruction, Listening Comprehension, Listening Skills
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Ting-Chia Hsu; Ching Chang; Tien-Hsiu Jen – Interactive Learning Environments, 2024
Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…
Descriptors: Metacognition, Multisensory Learning, Vocabulary Development, Learning Strategies
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Viberg, Olga; Kukulska-Hulme, Agnes; Peeters, Ward – International Journal of Mobile and Blended Learning, 2023
Mobile-assisted language learning (MALL) research includes examination and development of second language learners' cognitive and metacognitive self-regulated learning skills, but the affective learning component of self-regulation in this context remains largely unexplored. Support for affective learning, which is defined by learners' beliefs,…
Descriptors: Metacognition, Computer Assisted Instruction, Second Language Learning, Second Language Instruction
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Kessler, Matt – Computer Assisted Language Learning, 2023
Mobile-assisted language learning (MALL) has witnessed an explosion of interest from consumers and researchers. However, consumers often complain about the limited functionality of MALL applications, which typically do not allow for critical self-reflection or for users to consider different aspects of their learning such as the task itself, the…
Descriptors: Computer Assisted Instruction, Teaching Methods, Second Language Learning, Second Language Instruction
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Mingjie Zou; Binhai Ren – Journal for the Psychology of Language Learning, 2024
Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…
Descriptors: Metacognition, Learning Strategies, English (Second Language), Second Language Learning
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Loncar, Michael; Schams, Wayne; Liang, Jong-Shing – Computer Assisted Language Learning, 2023
The following review incorporates a systematic selection, coding, and analysis methodology in order to compile a corpus of empirical research studies that investigate the use of technology-mediated feedback in L2 writing contexts published from 2015-2019. Trends are identified by coding and quantitatively analyzing key parameters of the corpus,…
Descriptors: Research Reports, Writing Instruction, Feedback (Response), Technology Uses in Education
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Rasmiani, Desak Made Sutra; Santosa, Made Hery; Mahendrayana, Gede – Journal of English Teaching, 2023
This study aims to determine the roles of teachers and the problems found when using MALL-based strategies in SMK Negeri 1 Denpasar during Emergency Remote Teaching. This study is a mixed-method design. The respondents were 8 English teachers. There are three instruments used in this study namely, questionnaires, observation sheet and interview…
Descriptors: Language Teachers, English (Second Language), Teacher Role, Second Language Learning
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Paul Raine – Technology in Language Teaching & Learning, 2023
Before the COVID-19 pandemic, universities in Japan had been slow to transition from paper-based to digital methods and materials. In addition, the most applicable theories for teaching and learning languages with digital technologies had not been considered deeply by many university teachers, and their beliefs about these theories had not been…
Descriptors: Teacher Attitudes, College Faculty, Second Language Learning, Second Language Instruction
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Hirata, Saki; Yamada, Masanori – International Association for Development of the Information Society, 2022
Vocabulary learning that overlooks the discrimination of single sounds in English language learning could lead to communication difficulties, such as the inability to hear and speak English pronunciation. To address this issue, vocalization strategy, in which students listen to the sounds of words and memorize them aloud, is considered a useful…
Descriptors: Vocabulary Development, Audio Equipment, Pronunciation, English (Second Language)
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