Yann Shiou Ong
Biographic Data
| ID | 9527081 |
|---|---|
| NAME | Yann Shiou Ong |
| GIVEN NAMES | Yann Shiou |
| FAMILY NAME | Ong |
| SIGNATURE | ONG Y S |
| AFFILIATIONS | Nanyang Technological University |
| ORCID | 0000-0002-6092-2803 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Productive Transdisciplinary Engagement
Examining generative artificial intelligence (GenAI) in assessing students’ responses to socio-scientific issues in physics
Despite the potential benefits of generative artificial intelligence (GenAI), most research in science education has focused on its advantages, with limited evidence on how it can assist humans in specific roles, such as assessment. This study provides empirical evidence of GenAI as a potentially useful tool with topic-dependent consistency, comparable to science teacher educators or human intelligence (human experts). Specifically, it examines t…
Refining the opportunity to learn construct through the Productive Disciplinary Engagement framework
Opportunity to learn (OTL) is a ubiquitous measure of the likelihood of learning in educational research, which typically has been characterized by three dimensions: time, coverage of content, and quality of instruction. The last dimension has been defined in highly divergent ways, which gives it a double-edged nature. While it may be operationalized to better serve a specific problem or context, it also makes it harder to achieve consensus or de…
STEM Problem Solving
Evaluating a learning progression for the solar system
We previously proposed a hypothetical learning progression around the disciplinary core idea of the Solar System and its formation as a first step in a research program to begin to fill this gap and address questions of student learning in this domain. In this study, we evaluate the effectiveness of two dimensions within the learning progression, dynamical properties and gravity, in describing change in how student reason in the domain across the…
No prominent works on this page.
Evaluating a learning progression for the solar system
We previously proposed a hypothetical learning progression around the disciplinary core idea of the Solar System and its formation as a first step in a research program to begin to fill this gap and address questions of student learning in this domain. In this study, we evaluate the effectiveness of two dimensions within the learning progression, dynamical properties and gravity, in describing change in how student reason in the domain across the…
STEM Problem Solving
Refining the opportunity to learn construct through the Productive Disciplinary Engagement framework
Opportunity to learn (OTL) is a ubiquitous measure of the likelihood of learning in educational research, which typically has been characterized by three dimensions: time, coverage of content, and quality of instruction. The last dimension has been defined in highly divergent ways, which gives it a double-edged nature. While it may be operationalized to better serve a specific problem or context, it also makes it harder to achieve consensus or de…
Examining generative artificial intelligence (GenAI) in assessing students’ responses to socio-scientific issues in physics
Despite the potential benefits of generative artificial intelligence (GenAI), most research in science education has focused on its advantages, with limited evidence on how it can assist humans in specific roles, such as assessment. This study provides empirical evidence of GenAI as a potentially useful tool with topic-dependent consistency, comparable to science teacher educators or human intelligence (human experts). Specifically, it examines t…
Productive Transdisciplinary Engagement
Discipline (4 works) · Science Education and Pedagogy (4 works) · Computer Science (3 works) · Psychology (3 works) · Science education (3 works) · Sociology (3 works) · Concept learning (2 works) · Education and Critical Thinking Development (2 works) · Innovative Teaching and Learning Methods (2 works) · Mathematics education (2 works)