Publication Date
| In 2025 | 0 |
| Since 2024 | 0 |
| Since 2021 (last 5 years) | 2 |
| Since 2016 (last 10 years) | 2 |
Descriptor
Author
| Huang, Xudong | 2 |
| Sung, Shannon H. | 2 |
| Xie, Charles | 2 |
| Chen, Guanhua | 1 |
| Jiang, Shiyan | 1 |
| Li, Chenglu | 1 |
| Massicotte, Joyce | 1 |
| Shen, Ji | 1 |
| Tatar, Cansu | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
| Grade 9 | 2 |
| High Schools | 2 |
| Junior High Schools | 2 |
| Middle Schools | 2 |
| Secondary Education | 2 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkJiang, Shiyan; Tatar, Cansu; Huang, Xudong; Sung, Shannon H.; Xie, Charles – Journal of Educational Computing Research, 2022
Augmented reality (AR) has the potential to fundamentally transform science education by making learning of abstract science ideas tangible and engaging. However, little is known about how students interacted with AR technologies and how these interactions may affect learning performance in science laboratories. This study examined high school…
Descriptors: Computer Simulation, Science Instruction, Science Laboratories, High School Students
Sung, Shannon H.; Li, Chenglu; Chen, Guanhua; Huang, Xudong; Xie, Charles; Massicotte, Joyce; Shen, Ji – Journal of Science Education and Technology, 2021
In this paper, we demonstrate how machine learning could be used to quickly assess a student's multimodal representational thinking. Multimodal representational thinking is the complex construct that encodes how students form conceptual, perceptual, graphical, or mathematical symbols in their mind. The augmented reality (AR) technology is adopted…
Descriptors: Observation, Artificial Intelligence, Knowledge Representation, Grade 9
