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Hansol Lee; Jang Ho Lee – Language Learning & Technology, 2024
Artificial intelligence (AI) has considerably advanced the methods for individualizing language learning opportunities, such as assessing learning progress and recommending effective individual instruction. In the present study, we conducted a meta-analysis to synthesize recent empirical findings pertaining to the utilization of AI-guided language…
Descriptors: Artificial Intelligence, Teaching Methods, Learning Processes, Computer Software
Zhang, Rui – Language Learning & Technology, 2020
It is widely accepted that effective blended learning initiates students into constructivist learning experiences by integrating face-to-face approaches with online technology. The Community of Inquiry (CoI) framework combines teaching, social, and cognitive presences to explore students' blended learning experiences from the perspectives of…
Descriptors: Blended Learning, Active Learning, Inquiry, English for Special Purposes
Gass, Susan; Winke, Paula; Isbell, Daniel R.; Ahn, Jieun – Language Learning & Technology, 2019
Captions provide a useful aid to language learners for comprehending videos and learning new vocabulary, aligning with theories of multimedia learning. Multimedia learning predicts that a learner's working memory (WM) influences the usefulness of captions. In this study, we present two eye-tracking experiments investigating the role of WM in…
Descriptors: Eye Movements, Short Term Memory, Multimedia Instruction, Teaching Methods
Tsai, Chen-hui; Kuo, Chin-Hwa; Horng, Wen-Bing; Chen, Chun-Wen – Language Learning & Technology, 2012
This paper reports on a study that investigates how different learning methods might affect the learning process of character handwriting among beginning college learners of Chinese, as measured by tests of recognition, approximate production, precise production, and awareness of conventional stroke sequence. Two methodologies were examined during…
Descriptors: Handwriting, Chinese, Teaching Methods, Introductory Courses