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2020 – today
- 2026
[c26]Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger:
Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module. AAAI 2026: 40721-40729- [c25]Xinying Hou
, Ruiwei Xiao, Runlong Ye, Michael Liut, John C. Stamper:
Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning. SIGCSE (1) 2026: 470-476 - [c24]Lu Fang, Mengqian Wu, Xinying Hou, Mohsen Dorodchi, Peter Brusilovsky:
Are CS1 Students More Creative than LLM in Solving a Problem? Preliminary Results on a Comparison of Code Diversity. SIGCSE (2) 2026: 1329-1330 - [c23]Xinying Hou, Emma R. Dodoo, Minh Tran, Jessica M. Yauney, Alex Chao, Michael Link:
Growing Together: Building a Community of Graduate Student Computer Science Education Researchers. SIGCSE (2) 2026: 1699 - [c22]Xinying Hou, Barbara Jane Ericson:
Scaffolding Students While Writing Code Using LLM-Based Personalized Parsons Puzzles. SIGCSE (2) 2026: 1736 - 2025
- [c21]Xinying Hou, Carol Forsyth, Jessica Andrews-Todd, James Rice, Zhiqiang Cai, Yang Jiang, Diego Zapata-Rivera, Art Graesser:
An LLM-Enhanced Multi-agent Architecture for Conversation-Based Assessment. AIED (2) 2025: 119-134 - [c20]Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying-Jui Tseng, John C. Stamper, Kenneth R. Koedinger:
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. AIED Companion (2) 2025: 152-160 - [c19]Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson:
Personalized Parsons Puzzles as Scaffolding Enhance Practice Engagement Over Just Showing LLM-Powered Solutions. SIGCSE (2) 2025: 1483-1484 - [c18]Grace Barkhuff, Katherine Braught, Emma R. Dodoo, Michael Link, Xinying Hou, Elliot Roe:
Creating a Community of Graduate Student Computer Science Education Researchers. SIGCSE (2) 2025: 1715 - [i16]Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson:
Personalized Parsons Puzzles as Scaffolding Enhance Practice Engagement Over Just Showing LLM-Powered Solutions. CoRR abs/2501.09210 (2025) - [i15]Jiayi Wang, Ruiwei Xiao, Xinying Hou, Hanqi Li, Ying-Jui Tseng, John C. Stamper, Ken Koedinger:
LLMs to Support K-12 Teachers in Culturally Relevant Pedagogy: An AI Literacy Example. CoRR abs/2505.08083 (2025) - [i14]Ruiwei Xiao, Xinying Hou, Runlong Ye, Majeed Kazemitabaar, Nicholas Diana, Michael Liut, John C. Stamper:
Improving Student-AI Interaction Through Pedagogical Prompting: An Example in Computer Science Education. CoRR abs/2506.19107 (2025) - [i13]Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger:
Learning to Use AI for Learning: How Can We Effectively Teach and Measure Prompting Literacy for K-12 Students? CoRR abs/2508.13962 (2025) - [i12]Jiayi Wang, Ruiwei Xiao, Xinying Hou, John C. Stamper:
Enabling Multi-Agent Systems as Learning Designers: Applying Learning Sciences to AI Instructional Design. CoRR abs/2508.16659 (2025) - [i11]Ruiwei Xiao, Qing Xiao, Xinying Hou, Hanqi Jane Li, Phenyo Phemelo Moletsane, Hong Shen, John C. Stamper:
Bridging Cultural Distance Between Models Default and Local Classroom Demands: How Global Teachers Adopt GenAI to Support Everyday Teaching Practices. CoRR abs/2509.10780 (2025) - [i10]Ruiwei Xiao, Qing Xiao, Xinying Hou, Phenyo Phemelo Moletsane, Hanqi Jane Li, Hong Shen, John C. Stamper:
Do Teachers Dream of GenAI Widening Educational (In)equality? Envisioning the Future of K-12 GenAI Education from Global Teachers' Perspectives. CoRR abs/2509.10782 (2025) - [i9]Xinying Hou, Ruiwei Xiao, Runlong Ye, Michael Liut, John C. Stamper:
Exploring Student Choice and the Use of Multimodal Generative AI in Programming Learning. CoRR abs/2510.05417 (2025) - 2024
- [c17]John C. Stamper, Ruiwei Xiao, Xinying Hou:
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. AIED Companion (1) 2024: 32-43 - [c16]Ruiwei Xiao, Xinying Hou, John C. Stamper:
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. CHI Extended Abstracts 2024: 142:1-142:10 - [c15]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:
ActiveAI: The Effectiveness of an Interactive Tutoring System in Developing K-12 AI Literacy. EC-TEL (1) 2024: 452-467 - [c14]Ruiwei Xiao, Xinying Hou, Harsh Kumar, Steven Moore, John C. Stamper, Michael Liut:
A Preliminary Analysis of Students' Help Requests with an LLM-powered Chatbot when Completing CS1 Assignments. CSEDM@EDM 2024 - [c13]Aadarsh Padiyath, Xinying Hou, Amy Pang, Diego Viramontes Vargas, Xingjian Lance Gu, Tamara Nelson-Fromm, Zihan Wu, Mark Guzdial, Barbara Ericson:
Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course. ICER (1) 2024: 114-130 - [c12]Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson:
CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming. L@S 2024: 51-62 - [c11]Xinying Hou, Barbara J. Ericson, Xu Wang:
Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing. SIGCSE (2) 2024: 1686-1687 - [i8]Xinying Hou, Barbara J. Ericson, Xu Wang:
Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing. CoRR abs/2401.03144 (2024) - [i7]Xinying Hou, Zihan Wu, Xu Wang, Barbara J. Ericson:
CodeTailor: Personalized Parsons Puzzles are Preferred Over AI-Generated Solutions to Support Learning. CoRR abs/2401.12125 (2024) - [i6]Ruiwei Xiao, Xinying Hou, John C. Stamper:
Exploring How Multiple Levels of GPT-Generated Programming Hints Support or Disappoint Novices. CoRR abs/2404.02213 (2024) - [i5]John C. Stamper, Ruiwei Xiao, Xinying Hou:
Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences. CoRR abs/2405.04645 (2024) - [i4]Aadarsh Padiyath, Xinying Hou, Amy Pang, Diego Viramontes Vargas, Xingjian Lance Gu, Tamara Nelson-Fromm, Zihan Wu, Mark Guzdial, Barbara Ericson:
Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course. CoRR abs/2406.06451 (2024) - 2023
- [c10]Huy Anh Nguyen, Xinying Hou, Hayden Stec, Sarah Di, John C. Stamper, Bruce M. McLaren:
Examining the Learning Benefits of Different Types of Prompted Self-explanation in a Decimal Learning Game. AIED 2023: 681-687 - [c9]Huy Anh Nguyen, Hayden Stec, Xinying Hou, Sarah Di, Bruce M. McLaren:
Evaluating ChatGPT's Decimal Skills and Feedback Generation in a Digital Learning Game. EC-TEL 2023: 278-293 - [c8]Xinying Hou, Barbara Jane Ericson, Xu Wang:
Parsons Problems to Scaffold Code Writing: Impact on Performance and Problem-Solving Efficiency. ITiCSE (2) 2023: 665 - [c7]Xinying Hou, Barbara Jane Ericson, Xu Wang:
Understanding the Effects of Using Parsons Problems to Scaffold Code Writing for Students with Varying CS Self-Efficacy Levels. Koli Calling 2023: 1:1-1:12 - [c6]Majeed Kazemitabaar, Xinying Hou, Austin Z. Henley, Barbara Jane Ericson, David Weintrop, Tovi Grossman:
How Novices Use LLM-based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment. Koli Calling 2023: 3:1-3:12 - [i3]Huy Anh Nguyen, Hayden Stec, Xinying Hou, Sarah Di, Bruce M. McLaren:
Evaluating ChatGPT's Decimal Skills and Feedback Generation in a Digital Learning Game. CoRR abs/2306.16639 (2023) - [i2]Majeed Kazemitabaar, Xinying Hou, Austin Z. Henley, Barbara J. Ericson, David Weintrop, Tovi Grossman:
How Novices Use LLM-Based Code Generators to Solve CS1 Coding Tasks in a Self-Paced Learning Environment. CoRR abs/2309.14049 (2023) - [i1]Xinying Hou, Barbara J. Ericson, Xu Wang:
Understanding the Effects of Using Parsons Problems to Scaffold Code Writing for Students with Varying CS Self-Efficacy Levels. CoRR abs/2311.18115 (2023) - 2022
- [j3]Xinying Hou, Huy Anh Nguyen, J. Elizabeth Richey, Erik Harpstead, Jessica Hammer, Bruce M. McLaren:
Assessing the Effects of Open Models of Learning and Enjoyment in a Digital Learning Game. Int. J. Artif. Intell. Educ. 32(1): 120-150 (2022) - [j2]Bruce M. McLaren, J. Elizabeth Richey, Huy Anh Nguyen, Xinying Hou:
How instructional context can impact learning with educational technology: Lessons from a study with a digital learning game. Comput. Educ. 178: 104366 (2022) - [j1]Huy Anh Nguyen, Xinying Hou, J. Elizabeth Richey, Bruce M. McLaren:
The Impact of Gender in Learning With Games: A Consistent Effect in a Math Learning Game. Int. J. Game Based Learn. 12(1): 1-29 (2022) - [c5]Xinying Hou, Tomohiro Nagashima, Vincent Aleven:
Design a Dashboard for Secondary School Learners to Support Mastery Learning in a Gamified Learning Environment. EC-TEL 2022: 542-549 - [c4]Xinying Hou, Barbara Jane Ericson, Xu Wang:
Using Adaptive Parsons Problems to Scaffold Write-Code Problems. ICER (1) 2022: 15-26 - 2020
- [c3]Xinying Hou, Huy Anh Nguyen, J. Elizabeth Richey, Bruce M. McLaren:
Exploring How Gender and Enjoyment Impact Learning in a Digital Learning Game. AIED (1) 2020: 255-268 - [c2]Huy Anh Nguyen, Xinying Hou, John C. Stamper, Bruce M. McLaren:
Moving beyond Test Scores: Analyzing the Effectiveness of a Digital Learning Game through Learning Analytics. EDM 2020 - [c1]Cheyeon Ha, Xinying Hou, Huy Anh Nguyen, Judith Odili Uchidiuno:
Increasing Children's Knowledge of Pattern Detection and Skip Counting Using a Tablet-based Math Activity. ICLS 2020
Coauthor Index
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last updated on 2026-03-25 23:53 CET by the dblp team
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