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I am conducting research to investigate ways to support students from linguistically and culturally diverse backgrounds to understand complex STEM concepts using interactive simulations and other digital technologies (e.g., intelligent tutoring systems, AI-supported pedagogical and teacheable agents, educational games). 
Main research topics

  • Interactive simulations for learning complex systems concepts

  • AI-supported pedagogical and teachable agents

  • Self-regulated learning and learning analytics

  • Human-AI interaction in formal and informal learning settings

  • Human-centered participatory design

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AlgeSPACE

  1. Co-designing an interactive system with teachers and researchers to reflect different needs and interests

  2. Using pedagogical agents with motivational prompts to promote engagement with optional tasks which foster problem-solving flexilbility

  3. Investigating learners' choice-making behaviors and patterns over time 

SMILE

Systems Modeling in Intelligent Learning Environment

Learn complex systems by stepping inside simulation-based virtual worlds with AI-supported conversations.

Colorful Tangram Game
Hide and Seek

More
Projects

My work also focuses on the design and evaluation of digital learning and teaching scenarios in formal and informal learning environments (e.g., museums) and immersive settings (e.g., VR). 

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Pattern, Agent, Interaction
Relation & Causality

Address students' persistent misconceptions about the cause-effect relations of scientific phenomena

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ACT

Accessible Computational Thinking in Elementary Science Classes within and across Culturally and Linguistically Diverse Contexts

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Ask Dr. Discovery

Museum Question-asking Mobile App

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Catch a Mimic

a PC and VR Game to teach Natural Selection

School Kids Recycling

Climate EARTH

Climate Education through Augmented reality and Responsive TeacHing 

© Man Su

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