Publication Date
In 2025 | 2 |
Since 2024 | 7 |
Since 2021 (last 5 years) | 20 |
Since 2016 (last 10 years) | 50 |
Since 2006 (last 20 years) | 111 |
Descriptor
Source
Author
Huang, Yong-Ming | 4 |
Wu, Yun-Wu | 4 |
Chang, Chih-Kai | 3 |
Chen, Gwo-Dong | 3 |
Chen, Nian-Shing | 3 |
Huang, Yueh-Min | 3 |
Lin, Jing-Wen | 3 |
Tsai, Chin-Chung | 3 |
Weng, Kuo-Hua | 3 |
Chang, Kuo-En | 2 |
Chen, Cheng-Ming | 2 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 1 |
Location
Taiwan | 121 |
China | 8 |
Australia | 7 |
United States | 7 |
South Korea | 6 |
Turkey | 6 |
South Africa | 5 |
Hong Kong | 4 |
Mexico | 4 |
Singapore | 4 |
Malaysia | 3 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
Program for International… | 3 |
Trends in International… | 2 |
Motivated Strategies for… | 1 |
State Trait Anxiety Inventory | 1 |
Strategy Inventory for… | 1 |
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Chih-Hung Lin; Dadan Sumardani – Interactive Learning Environments, 2024
Virtual Reality (VR) has been widely adopted in educational research; however, its implementation in the classroom is still not as well known as in the research field. In other words, there is a gap between researchers and practitioners regarding the pedagogical issue. This study aimed to explore how VR could be applied in science classrooms using…
Descriptors: Computer Simulation, Teaching Methods, Science Education, Authentic Learning
Liu, Chih-Chi; Wang, Ya-Ling – Educational Gerontology, 2023
Research has begun to pay more attention to intergenerational learning and its advantages, while what is the flow state of students of different generations when they participate in intergenerational learning? This study simultaneously measured the flow state of 16 college students (M = 23.13, SD = 1.82, ranging from 21 to 27 years old; 23.08%…
Descriptors: In Person Learning, Electronic Learning, Models, Age Groups
Wen-Lung Huang; Liang-Yi Li; Jyh-Chong Liang – Educational Technology & Society, 2024
The purposes of this study were to explore students' learning performance, knowledge construction, and behavioral patterns in computer-supported collaborative learning (CSCL) online discussions with/without using Form+Theme+Context (FTC) model guidance scaffolding in visual imagery education. In the online learning activities, the control group…
Descriptors: Asynchronous Communication, Online Courses, Behavior Patterns, Discussion (Teaching Technique)
Yu-Jen Sie; Kuen-Yi Lin – Journal of Baltic Science Education, 2025
Project-based learning (PBL) plays a critical role in fostering interdisciplinary integration within science, technology, engineering, and mathematics (STEM) education. However, its complexity often hinders students' ability to apply knowledge and solve problems, particularly in environments that lack psychological and cognitive support. This…
Descriptors: Resilience (Psychology), Positive Attitudes, STEM Education, Internet
Lin, Chieh-Peng; Chiang, Pin-Hsuan – Vocations and Learning, 2023
Drawing upon the social network theory and social cognitive theory, this research proposes a model that assesses team performance from the mediating aspect of knowledge application, which represents a team's learning process whereby an effective retrieval mechanism enables the team to access knowledge. In the model, team performance relates to…
Descriptors: Social Networks, Social Cognition, Models, Learning Processes
Lin, Jing-Wen; Chen, Yi-Min – International Journal of Science and Mathematics Education, 2023
The intersection of modeling and STEM practices offers a promising avenue for creating an integrated STEM curriculum. However, research on designing modeling-based STEM (m-STEM) curricula is limited, particularly concerning how the curriculum affects the learning of students with different spatial abilities. This study developed a four-round…
Descriptors: Models, STEM Education, Civil Engineering, Spatial Ability
Lin, Chia-Hua; Huang, Hsiao-Ching – International Journal of Psychology and Educational Studies, 2018
The increased demand for design exhibitions directly reflects the demand for designer-curators to manage cultural policies and social needs. However, in the current design education system in Taiwan, no curation-related curriculum planning exists. Therefore, this study attempted to design a practical curation course focused on "designer…
Descriptors: Design, Exhibits, Teaching Methods, Foreign Countries
Schmucker, Robin; Wang, Jingbo; Hu, Shijia; Mitchell, Tom M. – Journal of Educational Data Mining, 2022
We consider the problem of assessing the changing performance levels of individual students as they go through online courses. This student performance modeling problem is a critical step for building adaptive online teaching systems. Specifically, we conduct a study of how to utilize various types and large amounts of log data from earlier…
Descriptors: Academic Achievement, Electronic Learning, Artificial Intelligence, Predictor Variables
Jian-Hong Ye; Mengmeng Zhang; Weiguaju Nong; Li Wang; Xiantong Yang – Education and Information Technologies, 2025
ChatGPT, as an example of generative artificial intelligence, possesses high-level conversational and problem-solving capabilities supported by powerful computational models and big data. However, the powerful performance of ChatGPT might enhance learner dependency. Although it has not yet been confirmed, many teachers and scholars are also…
Descriptors: Artificial Intelligence, College Students, Problem Solving, Student Attitudes
Al-Maroof, Rana; Al-Qaysi, Noor; Salloum, Said A.; Al-Emran, Mostafa – Technology, Knowledge and Learning, 2022
Examining the blended learning (b-learning) acceptance is not a new research topic, and it has been tackled by many scholars. Nevertheless, the analysis of information systems (IS) models that are used to study the acceptance of b-learning is regarded as a topic of great importance. To examine these models and afford scholars a holistic view of…
Descriptors: Blended Learning, Information Systems, Models, Holistic Approach
Tzeng, Jian-Wei; Lee, Chia-An; Huang, Nen-Fu; Huang, Hao-Hsuan; Lai, Chin-Feng – International Review of Research in Open and Distributed Learning, 2022
Massive open online courses (MOOCs) are open access, Web-based courses that enroll thousands of students. MOOCs deliver content through recorded video lectures, online readings, assessments, and both student-student and student-instructor interactions. Course designers have attempted to evaluate the experiences of MOOC participants, though due to…
Descriptors: Online Courses, Models, Learning Analytics, Artificial Intelligence
Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
Wu, Ting-Fang; Chen, Cheng-Ming – Journal of Special Education Technology, 2023
The purpose of the current study was to develop an appropriate model to represent the relationships among all the significant factors about information and communication technology use for university students, both with and without learning disabilities. This study was conducted in Taiwan with a sample consisting of an international array of…
Descriptors: College Students, Students with Disabilities, Learning Disabilities, Models
Chien, Chin-Wen – Innovation in Language Learning and Teaching, 2019
This study explored 42 English as a foreign language (EFL) undergraduates' self-regulated learning with and without technology in a university in northwest Taiwan. Based on the conceptual framework on Zimmerman's (Zimmerman, B. J. 2000. "Attaining Self-regulation: A Social Cognitive Perspective." In "Handbook of Self-Regulation:…
Descriptors: Undergraduate Students, Metacognition, Learning Strategies, Foreign Countries
Cheng, Yung-Ming – Education & Training, 2019
Purpose: According to expectation--confirmation model (ECM) and task-technology fit (TTF) model, the purpose of this paper is to examine the role of TTF in students' cloud-based e-learning continuance and evaluate whether TTF affects students' perceived impact on learning of the cloud-based e-learning system within the educational institution.…
Descriptors: Electronic Learning, Foreign Countries, Models, Influences