Nuodi Zhang
Biographic Data
| ID | 6509154 |
|---|---|
| NAME | Nuodi Zhang |
| GIVEN NAMES | Nuodi |
| FAMILY NAME | Zhang |
| SIGNATURE | ZHANG N |
| AFFILIATIONS | Florida State University |
| ORCID | 0000-0003-0761-2176 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Investigating preservice teachers’ emotions and dialogic teaching practices in simulation-based learning with artificial intelligence-powered virtual student agents
Preparing preservice teachers to foster students' critical thinking through productive and constructive teaching practices is a central goal in teacher education, yet difficult to accomplish in clinical settings. Virtual reality (VR) simulations, featuring artificial intelligence (AI)-powered student agents, offer a promising avenue for developing and rehearsing core teaching skills. Despite this potential, limited research has explored preservic…
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…
Enhancing responsive teaching through in-the-moment interpretations of student resources
Applications of Machine Learning for at‐Risk Student Prediction in Online Education
Assessing Rural Care Ecosystems for Individuals With Neurodiversity
This systematic literature review synthesized the results of 95 papers on neurodiversity (autism spectrum disorder, dyslexia, attention deficit hyperactivity disorder, intellectual disability) in rural areas between 2003 and 2023 to chart the status quo in current practices and understand the barriers and challenges. We find that most studies focused on understanding neurodiverse populations and their care ecosystems, and few implemented interven…
Seeking to support preservice teachers' responsive teaching
Preparing preservice teachers (PSTs) to be able to notice, interpret, respond to and orchestrate student ideas—the core practices of responsive teaching—is a key goal for contemporary science and mathematics teacher education. This mixed‐methods study, employing a virtual reality (VR)‐supported simulation integrated with artificial intelligence (AI)‐powered virtual students, explored the frequent patterns of PSTs' talk moves as they attempted to …
Science and mathematics preservice teachers’ perceptions and experiences of practicing dialogic teaching in generative AI-powered virtual reality simulation
No prominent works on this page.
Enhancing responsive teaching through in-the-moment interpretations of student resources
Applications of Machine Learning for at‐Risk Student Prediction in Online Education
Assessing Rural Care Ecosystems for Individuals With Neurodiversity
This systematic literature review synthesized the results of 95 papers on neurodiversity (autism spectrum disorder, dyslexia, attention deficit hyperactivity disorder, intellectual disability) in rural areas between 2003 and 2023 to chart the status quo in current practices and understand the barriers and challenges. We find that most studies focused on understanding neurodiverse populations and their care ecosystems, and few implemented interven…
Seeking to support preservice teachers' responsive teaching
Preparing preservice teachers (PSTs) to be able to notice, interpret, respond to and orchestrate student ideas—the core practices of responsive teaching—is a key goal for contemporary science and mathematics teacher education. This mixed‐methods study, employing a virtual reality (VR)‐supported simulation integrated with artificial intelligence (AI)‐powered virtual students, explored the frequent patterns of PSTs' talk moves as they attempted to …
Science and mathematics preservice teachers’ perceptions and experiences of practicing dialogic teaching in generative AI-powered virtual reality simulation
Investigating preservice teachers’ emotions and dialogic teaching practices in simulation-based learning with artificial intelligence-powered virtual student agents
Preparing preservice teachers to foster students' critical thinking through productive and constructive teaching practices is a central goal in teacher education, yet difficult to accomplish in clinical settings. Virtual reality (VR) simulations, featuring artificial intelligence (AI)-powered student agents, offer a promising avenue for developing and rehearsing core teaching skills. Despite this potential, limited research has explored preservic…
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…
Computer Science (4 works) · Intelligent Tutoring Systems and Adaptive Learning (4 works) · Online Learning and Analytics (4 works) · Mathematics education (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Dialogic (2 works) · Educational Games and Gamification (2 works) · Educational technology (2 works) · Innovative Teaching and Learning Methods (2 works)