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Tsai, Shu-Chiao – Journal of Educational Computing Research, 2023
Due to the outbreak of COVID 19, an online bilingual curriculum was conducted via "Google Meet." The learning material was developed and implemented by using a smartphone application, STEMUP, based on augmented reality (AR) and automatic speech recognition (ASR) technologies. This study investigated the oral performance and perceptions…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, College Students
Yeh, Hui-Chin; Tseng, Sheng-Shiang; Chen, Yu-Sheng – Educational Technology & Society, 2019
To extend the recent growth of literature on using peer feedback through blogs to enhance students' speaking performance, this study investigated the effects of online peer feedback via blogs on the speaking performance of college students studying English as a Foreign Language (EFL). Participants comprised 45 EFL college students, from two…
Descriptors: Feedback (Response), Peer Evaluation, Electronic Publishing, College Students
Chen, I-Ju; Chang, Yung-Hao; Chang, Wei-Huan – Universal Journal of Educational Research, 2016
The purpose of this study was to investigate the needs analysis of English learning from the viewpoints of students and the real needs of employers regarding English usage at the workplace. A questionnaire was administered to 60 participants comprising 30 senior students and 30 employers. After quantitative analysis, the results demonstrated that…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Student Attitudes
Reckase, Mark D.; Xu, Jing-Ru – Educational and Psychological Measurement, 2015
How to compute and report subscores for a test that was originally designed for reporting scores on a unidimensional scale has been a topic of interest in recent years. In the research reported here, we describe an application of multidimensional item response theory to identify a subscore structure in a test designed for reporting results using a…
Descriptors: English, Language Skills, English Language Learners, Scores