Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 7 |
Since 2016 (last 10 years) | 10 |
Since 2006 (last 20 years) | 13 |
Descriptor
Source
Author
Chen, Huai-Yi | 1 |
Chen, Irene Y. L. | 1 |
Chen, Sufen | 1 |
Chen, Wen-Hsin | 1 |
Evers, Katerina | 1 |
Flanagan, Brendan | 1 |
Hoo, Hui-Teng | 1 |
Hsiao-Wen Hsu | 1 |
Hui-Chin Yeh | 1 |
Hwang, Gwo-Jen | 1 |
Inceoglu, Solène | 1 |
More ▼ |
Publication Type
Journal Articles | 12 |
Reports - Research | 10 |
Reports - Descriptive | 2 |
Tests/Questionnaires | 2 |
Guides - Classroom - Teacher | 1 |
Information Analyses | 1 |
Education Level
Higher Education | 7 |
Postsecondary Education | 6 |
Elementary Education | 2 |
Adult Education | 1 |
Elementary Secondary Education | 1 |
Grade 11 | 1 |
Grade 12 | 1 |
Grade 4 | 1 |
Grade 6 | 1 |
High Schools | 1 |
Secondary Education | 1 |
More ▼ |
Audience
Teachers | 1 |
Location
Taiwan | 13 |
China | 2 |
Belgium | 1 |
Germany | 1 |
India | 1 |
Indonesia | 1 |
Japan | 1 |
Latvia | 1 |
Netherlands | 1 |
Nigeria | 1 |
Slovakia | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Graduate Record Examinations | 1 |
What Works Clearinghouse Rating
Inceoglu, Solène; Chen, Wen-Hsin; Lim, Hyojung – ReCALL, 2023
An increasing number of studies are exploring the benefits of automatic speech recognition (ASR)-based dictation programs for second language (L2) pronunciation learning (e.g. Chen, Inceoglu & Lim, 2020; Liakin, Cardoso & Liakina, 2015; McCrocklin, 2019), but how ASR recognizes accented speech and the nature of the feedback it provides to…
Descriptors: Second Language Learning, Intelligibility, Automation, Speech Communication
Hsiao-Wen Hsu – International Journal of Technology in Education, 2024
The implementation of computer-assisted pronunciation training (CAPT) has been proven to be successful in improving learners' pronunciation abilities. Automatic speech recognition (ASR) software was used to provide mediated support to 103 pre-intermediate level students (62 males and 41 females). After experiencing a two-semester of CAPT…
Descriptors: Automation, Assistive Technology, Pronunciation, English Language Learners
Yung-Hsiang Hu; Jo Shan Fu; Hui-Chin Yeh – Interactive Learning Environments, 2024
Artificial intelligence aims to restructure and process re-engineering education and teaching processes and accelerate the evolution of the whole education system from information to intelligence. Robotic Process Automation (RPA) robots learn by observing people at work, analyzing user processes repeatedly, and adjusting or correcting automated…
Descriptors: Intelligent Tutoring Systems, Robotics, Automation, Instructional Effectiveness
Shang, Hui-Fang – Interactive Learning Environments, 2022
Previous studies have been done to research the effects of different electronic feedback (e-feedback) modes of helping English as a foreign language (EFL) students improve their writing. The purpose of this study was to employ online peer feedback (OPF) and automated corrective feedback (ACF) to assess EFL learners' writing performance in the…
Descriptors: Computer Mediated Communication, Peer Evaluation, Feedback (Response), Automation
Yang, Albert C. M.; Chen, Irene Y. L.; Flanagan, Brendan; Ogata, Hiroaki – Educational Technology & Society, 2021
Reviewing learned knowledge is critical in the learning process. Testing the learning content instead of restudying, which is known as the testing effect, has been demonstrated to be an effective review strategy. However, education research recommends that instructors generate practice tests, but this burdens teachers and may also hinder teaching…
Descriptors: Cloze Procedure, Reading Comprehension, Reading Skills, Reading Improvement
Evers, Katerina; Chen, Sufen – Computer Assisted Language Learning, 2022
This study examined the difference in adults' pronunciation performance with peer feedback and individual practice when using an automatic speech recognition (ASR) system. The same ASR software was used in both the comparison (n = 31) and the experimental group (n = 33) for 12 weeks. The participants were working adults in Taiwan. During the…
Descriptors: Automation, Computer Assisted Instruction, Speech Communication, Peer Evaluation
Chen, Huai-Yi; Wu, Chien-Ming; Lai, Chiung-Hui – IEEE Transactions on Education, 2019
Contribution: Prior studies indicate that students experimenting with characterization of optical planar waveguides use expensive ready-made prism couplers without clear understanding about construction of the entire optical measurement system. This paper presents a cost-effective modified bright-mode prism coupler that helps students learn…
Descriptors: Optics, Physics, Scientific Concepts, Science Equipment
Newman, Mark; Kwan, Irene; Schucan Bird, Karen; Hoo, Hui-Teng – Education Endowment Foundation, 2021
Meta-syntheses have reported positive impacts of feedback for student achievement at different stages of education and have been influential in establishing feedback as an effective strategy to support student learning. However, these syntheses combine studies of a variety of different feedback approaches, combine studies where feedback is one of…
Descriptors: Feedback (Response), Academic Achievement, Elementary School Students, Secondary School Students
Ramineni, Chaitanya; Williamson, David – ETS Research Report Series, 2018
Notable mean score differences for the "e-rater"® automated scoring engine and for humans for essays from certain demographic groups were observed for the "GRE"® General Test in use before the major revision of 2012, called rGRE. The use of e-rater as a check-score model with discrepancy thresholds prevented an adverse impact…
Descriptors: Scores, Computer Assisted Testing, Test Scoring Machines, Automation
Tsai, Min-Hsiu – World Journal of Education, 2017
Who is the most preferred and deemed the most helpful reviewer in improving student writing? This study exercised a blended teaching method which consists of three currently prevailing reviewers: the automated grading system (AGS, a web-based method), the peer review (a process-oriented approach), and the teacher grading technique (the…
Descriptors: Second Language Learning, Writing Evaluation, Automation, Grading
Tsai, Min-hsiu – Action in Teacher Education, 2012
This study investigates the consistency between human raters and an automated essay scoring system in grading high school students' English compositions. A total of 923 essays from 23 classes of 12 senior high schools in Taiwan (Republic of China) were obtained and scored manually and electronically. The results show that the consistency between…
Descriptors: Foreign Countries, High School Students, Writing (Composition), Essays
Liao, Chen-Huei; Kuo, Bor-Chen; Pai, Kai-Chih – Turkish Online Journal of Educational Technology - TOJET, 2012
Automated scoring by means of Latent Semantic Analysis (LSA) has been introduced lately to improve the traditional human scoring system. The purposes of the present study were to develop a LSA-based assessment system to evaluate children's Chinese sentence construction skills and to examine the effectiveness of LSA-based automated scoring function…
Descriptors: Foreign Countries, Program Effectiveness, Scoring, Personality
Hwang, Gwo-Jen; Tsai, Chin-Chung; Yang, Stephen J. H. – Educational Technology & Society, 2008
Recent progress in wireless and sensor technologies has lead to a new development of learning environments, called context-aware ubiquitous learning environment, which is able to sense the situation of learners and provide adaptive supports. Many researchers have been investigating the development of such new learning environments; nevertheless,…
Descriptors: Learning Activities, Computer Uses in Education, Criteria, Educational Environment