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Kuo-Wei Kyle Lai; Hao-Jan Howard Chen – Interactive Learning Environments, 2024
Automatic speech recognition (ASR) technology affords language learners the ability to evaluate their pronunciation accuracy by comparing their intended spoken output with the transcribed text produced by ASR-based dictation applications. However, earlier dictation tools were criticized for producing low level recognition rates for non-native…
Descriptors: Computer Software, Computer Assisted Instruction, Technology Uses in Education, Assistive Technology
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Wang, Yen-Hui – Interactive Learning Environments, 2017
The study integrated self-paced mobile learning (m-learning) into a language course, and examined what impacts were being produced on learners' reading comprehension and student satisfaction resulting from the instruction with m-learning integration. The self-paced, learner-centered mobile learning integration instruction (MLI) was compared with…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Educational Technology
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Shadiev, Rustam; Wu, Ting-Ting; Huang, Yueh-Min – Interactive Learning Environments, 2017
In this study, we provide STR-texts to non-native English speaking students during English lectures to facilitate learning, attention, and meditation. We carry out an experiment to test the feasibility of our approach. Our results show that the participants in the experimental group both outperform those in the control group on the post-tests and…
Descriptors: College Students, Second Language Learning, English (Second Language), Assistive Technology