Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Bayesian Statistics | 1 |
| Causal Models | 1 |
| Computer Assisted Instruction | 1 |
| Computer Software Evaluation | 1 |
| Concept Formation | 1 |
| Content Analysis | 1 |
| Electronic Learning | 1 |
| Inquiry | 1 |
| Instructional Effectiveness | 1 |
| Intelligent Tutoring Systems | 1 |
| Interviews | 1 |
| More ▼ | |
Source
| Computers & Education | 1 |
Publication Type
| Journal Articles | 1 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkTing, Choo-Yee; Sam, Yok-Cheng; Wong, Chee-Onn – Computers & Education, 2013
Constructing a computational model of conceptual change for a computer-based scientific inquiry learning environment is difficult due to two challenges: (i) externalizing the variables of conceptual change and its related variables is difficult. In addition, defining the causal dependencies among the variables is also not trivial. Such difficulty…
Descriptors: Concept Formation, Bayesian Statistics, Inquiry, Science Instruction
