Chungsoo
Biographic Data
| ID | 9505440 |
|---|---|
| NAME | Chungsoo |
| FAMILY NAME | Chungsoo |
| SIGNATURE | CHUNGSOO |
| AFFILIATIONS | Utah State University |
| ORCID | 0000-0003-3411-368X |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Cultivating science data literacy in K-16 science education through data practices
As data science advances with the emergence of new computational technologies, science data literacy (SDL)—the ability to understand, use, and critically engage with data to address real-world scientific problems—becomes increasingly vital in science education. However, research on how data practices vary across scientific disciplines and educational levels remains limited, hindering the development of a more cohesive understanding of how SDL can…
Linking self-regulated learning to community of inquiry in online undergraduate courses
The Community of Inquiry (CoI) framework has gained widespread recognition as a theoretical model for understanding student learning in online environments. Despite its prevalence, CoI has been critiqued for its limited emphasis on learners’ proactive roles in self-regulating their own learning. To address this, researchers have suggested integrating self-regulated learning (SRL) into the CoI framework. This integration calls for empirical resear…
Detecting threshold concepts through Bayesian knowledge tracing
No prominent works on this page.
Detecting threshold concepts through Bayesian knowledge tracing
Linking self-regulated learning to community of inquiry in online undergraduate courses
The Community of Inquiry (CoI) framework has gained widespread recognition as a theoretical model for understanding student learning in online environments. Despite its prevalence, CoI has been critiqued for its limited emphasis on learners’ proactive roles in self-regulating their own learning. To address this, researchers have suggested integrating self-regulated learning (SRL) into the CoI framework. This integration calls for empirical resear…
Cultivating science data literacy in K-16 science education through data practices
As data science advances with the emergence of new computational technologies, science data literacy (SDL)—the ability to understand, use, and critically engage with data to address real-world scientific problems—becomes increasingly vital in science education. However, research on how data practices vary across scientific disciplines and educational levels remains limited, hindering the development of a more cohesive understanding of how SDL can…
Computer Science (2 works) · Educational research (2 works) · Identification (biology) (2 works) · Innovative Teaching and Learning Methods (2 works) · Mathematics education (2 works) · Online Learning and Analytics (2 works) · Psychology (2 works) · Best practice (1 work) · Cognition (1 work) · Community of inquiry (1 work)