Nuodi Zhang
nzhang4@fsu.edu | edtech | PhD candidate
đź‘‹ Hi, this is Nuodi. I am a PhD candidate in Instructional Systems and Learning Technologies at Florida State University.
My research interests revolve around creating equitable learning opportunities for every learner, regardless of gender, ability, disability, and race, by designing, implementing, and evaluating emerging technologies. I am particularly interested in how technology can be leveraged to reduce learning barriers and promote inclusion in both formal and informal educational contexts. Currently, my work explores the use of diverse AI tools in STEM education, including AI-supported simulations that foster adaptive, hands-on learning experiences, and AI-driven chatbots that serve as interactive learning partners and instructional supports. I have been working with children and adolescents with neurodiversity including Autism Spectrum Disorder (ASD) and Attention-Deficit/Hyperactivity Disorder (ADHD) in designing and creating creative objects in virtual worlds and puzzle gameplay, which helped them develop essential transferable skills such as computational thinking and socio-emotional skills.
news
| Nov 15, 2024 | I will attend AERA 2025 at Denver next spring |
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| Oct 20, 2024 | My proposal “Improving Preservice Teachers’ Culturally Responsive Teaching Self-Efficacy Through Artificial Intelligence-Supported Virtual Simulation” was awarded the Best Proposal Award by the AECT Teacher Education Division. |
selected publications
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Enhancing responsive teaching through in-the-moment interpretations of student resources: A study in AI-supported simulationComputers & Education, 2025 -
The Virtual Reality in Your Head: How Immersion and Mental Imagery Are Connected to Knowledge RetentionEducational Psychology Review, 2025 -
Applications of Machine Learning for at-Risk Student Prediction in Online Education: A 10-Year Systematic Review of LiteratureJournal of Computer Assisted Learning, 2025 -
Implementation fidelity of an evidence-centered maker education intervention in a virtual world for neurodiverse adolescentsComputers & Education: X Reality, 2025 -
To what extent has machine learning achieved in predicting online at-risk students? Evidence from quantitative meta-analysisJournal of Research on Technology in Education, 2024