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Artificial Intelligence Image Recognition Using Self-Regulation Learning Strategies: Effects on Vocabulary Acquisition, Learning Anxiety, and Learning Behaviours of English Language Learners
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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
Predicting Student Translators' Performance in Machine Translation Post-Editing: Interplay of Self-Regulation, Critical Thinking, and Motivation
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Yang, Yanxia; Wang, Xiangling – Interactive Learning Environments, 2023
Machine translation post-editing (MTPE) has become a common practice in translation industry, which calls much attention in academia. However, little research has been carried out to investigate students' cognitive and motivational individual differences in MTPE. The purpose of the present study was to examine the predictive effects of…
Descriptors: Translation, Computational Linguistics, Second Languages, Language Usage
A Conceptual Model for Integrating Affordances of Mobile Technologies into Task-Based Language Teaching
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Xue, Sijia – Interactive Learning Environments, 2022
Due to a range of different affordances, mobile technologies can be used pedagogically for language teaching and learning. However, the connection of technology to education needs to be grounded in theoretical frameworks and methodological principles. Task-based language teaching (TBLT), as an optimal approach to language teaching and learning,…
Descriptors: Teaching Methods, Technology Integration, Telecommunications, Handheld Devices
When Is the Best Time to Use Rubrics in Flipped Learning? A Study on Students' Learning Achievement, Metacognitive Awareness, and Cognitive Load
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Zhang, Yi; Chen, Bei-Lei; Ge, Jun; Hung, Cheng-Yu; Mei, Lin – Interactive Learning Environments, 2019
Rubrics can guide teachers to provide effective feedback and students' peer- and self-assessment. This paper examines the effect of rubric use in flipped learning activities on students' learning achievement, metacognitive awareness, and cognitive load through a quasi-experiment. A total of 83 university students were randomly assigned to an…
Descriptors: Blended Learning, Academic Achievement, Metacognition, Scoring Rubrics