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Xinying Hou standing in front of a body of water

Xinying Hou

Biography

Xinying Hou is a PhD candidate at the School of Information, University of Michigan. She designs, develops, and evaluates AI-powered techniques to support learning and assessment, particularly in computing and STEM education. Her PhD research combines AI with active learning to enhance students' skills, such as problem-solving and comprehension, while preventing AI from becoming a shortcut to final answers. She achieves this by providing engaging, personalized, and hands-on support for novice programmers as they learn to code. Her work has been published in top-tier conferences and journals in AI in Education, Computing Education, and Educational Technology, receiving several awards. She received her Master's in Educational Technology and Applied Learning Science (METALS) from Carnegie Mellon University. She has also worked as a Research Intern at the Educational Testing Service Research Institute.

Pronouns

she/her/hers

Areas of interest

AI in Education, Educational Technology, AI Literacy, Computing Education

Education

METALS, Human-Computer Interaction Institute, Carnegie Mellon University, 2020

News about Xinying Hou

UMSI News.
Ashley Zhang and Steve Oney earn Best Paper award at the 2024 Learning @ Scale Conference

Zhang and Oney’s paper proposes a new system for instructors teaching introductory programming courses. 

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UMSI Research Roundup. Service Robots in Restaurants, Social Media and Job Market Success. Check out UMSI faculty and PhD student publications.
Service Robots in Restaurants | Social Media and Job Market Success: UMSI Research Roundup

Recent UMSI faculty and PhD student publications. 

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