Exploring How Gender and Enjoyment Impact Learning in a Digital Learning Game. - Xinying Hou; Huy Anh Nguyen; J. Elizabeth Richey; Bruce M. McLaren (AIED (1), 2020)

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 (EDM, 2020)

Increasing Children's Knowledge of Pattern Detection and Skip Counting Using a Tablet-based Math Activity. - Cheyeon Ha; Xinying Hou; Huy Anh Nguyen; Judith Odili Uchidiuno (ICLS, 2020)

Design a Dashboard for Secondary School Learners to Support Mastery Learning in a Gamified Learning Environment. - Xinying Hou; Tomohiro Nagashima; Vincent Aleven (EC-TEL, 2022)

Using Adaptive Parsons Problems to Scaffold Write-Code Problems. - Xinying Hou; Barbara Jane Ericson; Xu Wang 016 (ICER (1), 2022)

Assessing the Effects of Open Models of Learning and Enjoyment in a Digital Learning Game. - Xinying Hou; Huy Anh Nguyen; J. Elizabeth Richey; Erik Harpstead; Jessica Hammer; Bruce M. McLaren (Int. J. Artif. Intell. Educ., 2022)

How instructional context can impact learning with educational technology: Lessons from a study with a digital learning game. - Bruce M. McLaren; J. Elizabeth Richey; Huy Anh Nguyen; Xinying Hou (Comput. Educ., 2022)

The Impact of Gender in Learning With Games: A Consistent Effect in a Math Learning Game. - Huy Anh Nguyen; Xinying Hou; J. Elizabeth Richey; Bruce M. McLaren (Int. J. Game Based Learn., 2022)

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 (AIED, 2023)

Evaluating ChatGPT's Decimal Skills and Feedback Generation in a Digital Learning Game. - Huy Anh Nguyen; Hayden Stec; Xinying Hou; Sarah Di; Bruce M. McLaren (EC-TEL, 2023)

Parsons Problems to Scaffold Code Writing: Impact on Performance and Problem-Solving Efficiency. - Xinying Hou; Barbara Jane Ericson; Xu Wang 016 (ITiCSE (2), 2023)

Understanding the Effects of Using Parsons Problems to Scaffold Code Writing for Students with Varying CS Self-Efficacy Levels. - Xinying Hou; Barbara Jane Ericson; Xu Wang 016 (Koli Calling, 2023)

How Novices Use LLM-based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment. - Majeed Kazemitabaar; Xinying Hou; Austin Z. Henley; Barbara Jane Ericson; David Weintrop; Tovi Grossman (Koli Calling, 2023)

Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. - John C. Stamper; Ruiwei Xiao; Xinying Hou (AIED Companion (1), 2024)

Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. - Ruiwei Xiao; Xinying Hou; John C. Stamper (CHI Extended Abstracts, 2024)

ActiveAI: The Effectiveness of an Interactive Tutoring System in Developing K-12 AI Literacy. - Ying-Jui Tseng; Gautam Yadav; Xinying Hou; Muzhe Wu; Yun-Shuo Chou; Claire Che Chen; Chia-Chia Wu; Shi-Gang Chen; Yi-Jo Lin; Guan-Ze Liao; Kenneth R. Koedinger (EC-TEL (1), 2024)

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 (CSEDM@EDM, 2024)

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 002; Mark Guzdial; Barbara Ericson (ICER (1), 2024)

CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming. - Xinying Hou; Zihan Wu 002; Xu Wang 016; Barbara J. Ericson (L@S, 2024)

Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing. - Xinying Hou; Barbara J. Ericson; Xu Wang 016 (SIGCSE (2), 2024)

CodeTailor: Personalized Parsons Puzzles are Preferred Over AI-Generated Solutions to Support Learning. - Xinying Hou; Zihan Wu 002; Xu Wang 016; Barbara J. Ericson (CoRR, 2024)

An LLM-Enhanced Multi-agent Architecture for Conversation-Based Assessment. - Xinying Hou; Carol Forsyth; Jessica Andrews-Todd; James Rice; Zhiqiang Cai 002; Yang Jiang; Diego Zapata-Rivera; Art Graesser (AIED (2), 2025)

Creating a Community of Graduate Student Computer Science Education Researchers. - Grace Barkhuff; Katherine Braught; Emma R. Dodoo; Michael Link; Xinying Hou; Elliot Roe (SIGCSE (2), 2025)

Personalized Parsons Puzzles as Scaffolding Enhance Practice Engagement Over Just Showing LLM-Powered Solutions. - Xinying Hou; Zihan Wu 002; Xu Wang 016; Barbara J. Ericson (SIGCSE (2), 2025)

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; Ken Koedinger (CoRR, 2025)

Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education. - Ruiwei Xiao; Xinying Hou; Runlong Ye 002; Majeed Kazemitabaar; Nicholas Diana; Michael Liut; John C. Stamper (CoRR, 2025)