Hunhui
Biographic Data
| ID | 9493970 |
|---|---|
| NAME | Hunhui |
| FAMILY NAME | Hunhui |
| SIGNATURE | HUNHUI |
| AFFILIATIONS | Florida State University |
| ORCID | 0000-0003-2157-6685 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
To what extent has machine learning achieved in predicting online at-risk students? Evidence from quantitative meta-analysis
Machine learning and data mining techniques hold promise in predicting at-risk students in online learning. This meta-analysis aimed to provide quantitative evidence to validate whether and to what extent machine learning techniques have been achieved in identifying online at-risk students. Meta-regressions examined the impacts of predictor data types, classical or deep learning approaches, and prediction stages on performance. A random-effects m…
Ex-Edchat
Enhancing mobility of cognitively impaired older adults
As transportation becomes increasingly technology-dependent, older adults with cognitive impairment face significant barriers to maintaining mobility independence. This study aimed to enhance the mobility and independence of older adults with cognitive impairment through the design and iterative usability testing of online tutorials for mainstream transportation applications – Google Maps and Uber. Grounded in the cognitive theory of multimedia l…
Initial discussions of ChatGPT in education-related subreddits
Generative AI tools, like ChatGPT, have ignited global discussions and debates about potential educational impacts. By examining initial reactions to ChatGPT shared in online spaces, this study aims to deepen understanding of opportunities and concerns related to integrating such tools into education. With the keyword “chatgpt,” we searched 25 education-related subreddits on Reddit and conducted a content analysis of 7,009 posts and comments, ide…
Learn math through motion
Despite the growing attention to the technology-enhanced embodied learning approach in mathematics education and its pedagogical potential, much remains unexplored regarding its implementation in real-world classroom contexts and student engagement in embodied learning activity. Addressing this gap, we introduce an embodied learning game leveraging computer vision and Augmented Reality (AR) techniques. We implemented the embodied AR game into fou…
Applications of Machine Learning for at‐Risk Student Prediction in Online Education
Investigating the impact of AR technologies on geometric learning in primary school
Over the past decade, augmented reality (AR) has gained traction in geometric learning for its pedagogical potential. However, research on how learners engage with different AR technologies and when and how to incorporate them has remained largely unexplored. Employing a learning analytics approach, this study investigates the impact of marker‐based and markerless AR technologies on geometric learning and student engagement in primary school clas…
Affinity and anonymity benefitting early career teachers in the r/teachers subreddit
Early career teachers experience numerous challenges during their transition into the profession. Reddit is a social media platform that allows users to gather around shared affinity while remaining anonymous. This study explores how early career teachers participate in the r/Teachers subreddit through posts tagged as “New Teacher” content. Hand-coding of 2,445 posts created in 2021 showed that early career teachers primarily seek information and…
The effect of augmented reality on K-12 students’ motivation
No prominent works on this page.
Affinity and anonymity benefitting early career teachers in the r/teachers subreddit
Early career teachers experience numerous challenges during their transition into the profession. Reddit is a social media platform that allows users to gather around shared affinity while remaining anonymous. This study explores how early career teachers participate in the r/Teachers subreddit through posts tagged as “New Teacher” content. Hand-coding of 2,445 posts created in 2021 showed that early career teachers primarily seek information and…
The effect of augmented reality on K-12 students’ motivation
Initial discussions of ChatGPT in education-related subreddits
Generative AI tools, like ChatGPT, have ignited global discussions and debates about potential educational impacts. By examining initial reactions to ChatGPT shared in online spaces, this study aims to deepen understanding of opportunities and concerns related to integrating such tools into education. With the keyword “chatgpt,” we searched 25 education-related subreddits on Reddit and conducted a content analysis of 7,009 posts and comments, ide…
Learn math through motion
Despite the growing attention to the technology-enhanced embodied learning approach in mathematics education and its pedagogical potential, much remains unexplored regarding its implementation in real-world classroom contexts and student engagement in embodied learning activity. Addressing this gap, we introduce an embodied learning game leveraging computer vision and Augmented Reality (AR) techniques. We implemented the embodied AR game into fou…
Applications of Machine Learning for at‐Risk Student Prediction in Online Education
Investigating the impact of AR technologies on geometric learning in primary school
Over the past decade, augmented reality (AR) has gained traction in geometric learning for its pedagogical potential. However, research on how learners engage with different AR technologies and when and how to incorporate them has remained largely unexplored. Employing a learning analytics approach, this study investigates the impact of marker‐based and markerless AR technologies on geometric learning and student engagement in primary school clas…
To what extent has machine learning achieved in predicting online at-risk students? Evidence from quantitative meta-analysis
Machine learning and data mining techniques hold promise in predicting at-risk students in online learning. This meta-analysis aimed to provide quantitative evidence to validate whether and to what extent machine learning techniques have been achieved in identifying online at-risk students. Meta-regressions examined the impacts of predictor data types, classical or deep learning approaches, and prediction stages on performance. A random-effects m…
Ex-Edchat
Enhancing mobility of cognitively impaired older adults
As transportation becomes increasingly technology-dependent, older adults with cognitive impairment face significant barriers to maintaining mobility independence. This study aimed to enhance the mobility and independence of older adults with cognitive impairment through the design and iterative usability testing of online tutorials for mainstream transportation applications – Google Maps and Uber. Grounded in the cognitive theory of multimedia l…
Computer Science (7 works) · Mathematics education (5 works) · Psychology (5 works) · Educational technology (4 works) · Artificial Intelligence (3 works) · Augmented Reality Applications (3 works) · Online Learning and Analytics (3 works) · Pedagogy (3 works) · Augmented reality (2 works) · Human–computer interaction (2 works)