| 2026 | AAAI | Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module. | Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger |
| 2026 | AIED | Enabling Multi-agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design. | Jiayi Wang, Ruiwei Xiao, Xinying Hou, John C. Stamper |
| 2026 | CHI | Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives. | Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John C. Stamper |
| 2026 | ICER | Designing Desired Support for Learning Programming with Minoritized Women Students in Computing. | Xinying Hou, Evie Katmanivong, Xu Wang, Barbara J. Ericson |
| 2026 | SIGCSE | Are CS1 Students More Creative than LLM in Solving a Problem? Preliminary Results on a Comparison of Code Diversity. | Lu Fang, Mengqian Wu, Xinying Hou, Mohsen Dorodchi, Peter Brusilovsky |
| 2026 | SIGCSE | Growing Together: Building a Community of Graduate Student Computer Science Education Researchers. | Xinying Hou, Emma R. Dodoo, Minh Tran, Jessica M. Yauney, Alex Chao, Michael Link |
| 2026 | SIGCSE | Scaffolding Students While Writing Code Using LLM-Based Personalized Parsons Puzzles. | Xinying Hou, Barbara Jane Ericson |
| 2026 | SIGCSE | Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning. | Xinying Hou, Ruiwei Xiao, Runlong Ye, Michael Liut, John C. Stamper |
| 2025 | AIED | An LLM-Enhanced Multi-agent Architecture for Conversation-Based Assessment. | Xinying Hou, Carol Forsyth, Jessica Andrews-Todd, James Rice, Zhiqiang Cai, Yang Jiang, Diego Zapata-Rivera, Art Graesser |
| 2025 | AIED | LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. | Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying-Jui Tseng, John C. Stamper, Kenneth R. Koedinger |
| 2025 | SIGCSE | Creating a Community of Graduate Student Computer Science Education Researchers. | Grace Barkhuff, Katherine Braught, Emma R. Dodoo, Michael Link, Xinying Hou, Elliot Roe |
| 2025 | SIGCSE | Personalized Parsons Puzzles as Scaffolding Enhance Practice Engagement Over Just Showing LLM-Powered Solutions. | Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson |
| 2024 | AIED | Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. | John C. Stamper, Ruiwei Xiao, Xinying Hou |
| 2024 | CHI | Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. | Ruiwei Xiao, Xinying Hou, John C. Stamper |
| 2024 | EDM | A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. | Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut |
| 2024 | ICER | Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course. | Aadarsh Padiyath, Xinying Hou, Amy Pang, Diego Viramontes Vargas, Xingjian Lance Gu, Tamara Nelson-Fromm, Zihan Wu, Mark Guzdial, Barbara Ericson |
| 2024 | SIGCSE | Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing. | Xinying Hou, Barbara J. Ericson, Xu Wang |
| 2023 | AIED | Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game. | Huy Anh Nguyen, Xinying Hou, Hayden Stec, Sarah Di, John C. Stamper, Bruce M. McLaren |
| 2023 | ITiCSE | Parsons Problems to Scaffold Code Writing: Impact on Performance and Problem-Solving Efficiency. | Xinying Hou, Barbara Jane Ericson, Xu Wang |
| 2022 | ICER | Using Adaptive Parsons Problems to Scaffold Write-Code Problems. | Xinying Hou, Barbara Jane Ericson, Xu Wang |
| 2020 | AIED | Exploring How Gender and Enjoyment Impact Learning in a Digital Learning Game. | Xinying Hou, Huy Anh Nguyen, J. Elizabeth Richey, Bruce M. McLaren |
| 2020 | EDM | Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics. | Huy Anh Nguyen, Xinying Hou, John C. Stamper, Bruce M. McLaren |