Lifelong Learning Lab

The Lifelong Learning Lab is based in the Department of Computer Science and Engineering at the University of Michigan. We conduct research at the intersection of Human-Computer Interaction, Learning Sciences and Artificial Intelligence. Our goal is to help people gain knowledge and acquire skills more easily and efficiently. We develop techniques that support and optimize human learning. We also answer fundamental questions on how humans learn.

Lab Photo Fall'23

Muche Wu

Undergraduate Student

Selected Alumni
Lavender Li

Undergraduate Student

Jessie Houghton

Undergraduate Student (Next Position: Product Manager at Microsoft)

Shipeng Liu

Visiting Undergraudate Student (Next Position: Ph.D. student at USC)

Generative Students: Using LLM-Simulated Student Profiles to Support Question Item Evaluation
Xinyi Lu, Xu Wang
CodeTailor: LLM-Powered Personalized Parsons Puzzles for Engaging Support While Learning Programming
Xinying Hou, Zihan Wu, Xu Wang, Barbara Ericson
Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning
Jingying Wang, Haoran Tang, Taylor Kantor, Tandis Soltani, Vitaliy Popov, Xu Wang
Looking Together ≠ Seeing the Same Thing: Understanding Surgeons' Visual Needs During Intra-operative Coordination and Instruction
Xinyue Chen*, Vitaliy Popov*, Jingying Wang, Michael Kemp, Gurjit Sandhu, Taylor Kantor, Natalie Mateju, Xu Wang (* indicates equal contribution)
Bridging Learnersourcing and AI: Exploring the Dynamics of Student-AI Collaborative Feedback Generation
Anjali Singh, Christopher Brooks, Xu Wang, Warren Li, Juho Kim, Deepti Pandey
LAK'2024 (Short Paper) Best Short Paper Award
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting Experience through Human-AI Collaboration Design
Nahyun Kwon, Tong Steven Sun, Yuyang Gao, Liang Zhao, Xu Wang, Jeeeun Kim, Sungsoo Ray Hong
Understanding the Effects of Using Parsons Problems to Scaffold Code Writing for Students with Varying CS Self-Efficacy Levels
Xinying Hou, Barbara Ericson, Xu Wang
Koli Calling'2023
MeetScript: Designing Transcript-based Interactions to Support Active Participation in Group Video Meetings
Xinyue Chen, Shuo Li, Shipeng Liu, Robin Fowler, Xu Wang
How Learning Experience Designers Make Design Decisions: the Role of Data, the Reliance on Subject Matter Expertise, and the Opportunities for Data-Driven Support
Xiaofei Zhou, Chris Kok, Rebecca Quintana, Anita Delahay, Xu Wang
ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions
Xinyi Lu, Simin Fan, Jessica Houghton, Lu Wang, Xu Wang
Scaling Mixed-Methods Formative Assessments (mixFA) in Classrooms: A Clustering Pipeline to Identify Student Knowledge
Xinyue Chen, Xu Wang
Towards Process-Oriented, Modular, and Versatile Question Generation that Meets Educational Needs
Xu Wang, Simin Fan, Jessica Houghton, Lu Wang
Using Adaptive Parsons Problems to Scaffold Write-Code Problems
Xinying Hou, Barbara Ericson, Xu Wang
Seeing Beyond Expert Blind Spots: Online Learning Design for Scale and Quality
Xu Wang, Carolyn Rose, Ken Koedinger
Practice-Based Teacher Questioning Strategy Training with ELK: A Role-Playing Simulation for Eliciting Learner Knowledge
Xu Wang, Meredith Thompson, Kexin Yang, Dan Roy, Ken Koedinger, Carolyn Rose, Justin Reich
Value Cards: An Educational Toolkit for Teaching Social Impacts of Machine Learning through Deliberation
Hong Shen, Wesley Deng, Aditi Chattopadhyay, Steven Wu, Xu Wang, Haiyi Zhu
"I was afraid, but now I enjoy being a streamer!": Understanding the Challenges and Prospects of Using Live Video Streaming for Online Education
Xinyue Chen, Si Chen, Xu Wang, Yun Huang
CSCW'2020 Best Paper Honorable Mention
Harnessing Student Solutions to Support Learning at Scale
Xu Wang
PhD Dissertation in Computer Science, Carnegie Mellon University
Advisors: Ken Koedinger and Carolyn Rose
Additional commitee members: Jeff Bigham, Chinmay Kulkarni, Scott Klemmer
UpGrade: Sourcing Student Open-Ended Solutions to Create Scalable Learning Opportunities
Xu Wang, Srinivasa Talluri, Carolyn Rose and Ken Koedinger
Leveraging Community-Generated Videos and Command Logs to Classify and Recommend Software Workflows
Xu Wang, Benjamin Lafreniere, Tovi Grossman
Public Peer Review Motivates Higher Quality Feedback
Xu Wang, Yali Chen, Amanda Godley, Carolyn Rose
When Optimal Team Formation is a Choice – Self-Selection versus Intelligent Team Formation Strategies in a Large Online Project-Based Course
Sree Sankaranarayanan, Cameron Dashti, Chris Bogart, Xu Wang, Majd Sakr, Carolyn Rose
Contrasting Explicit and Implicit Scaffolding for Transactive Exchange in Team Oriented Project Based Learning
Xu Wang, Miaomiao Wen, Carolyn Rose
Towards triggering higher-order thinking behaviors in MOOCs
Xu Wang, Miaomiao Wen, Carolyn Rose
Transactivity as a Predictor of Future Collaborative Knowledge Integration in Team-Based Learning in Online Courses
Miaomiao Wen, Keith Maki, Xu Wang, Steven Dow, James Herbsleb, Carolyn Rose
EDM'2016- Short Paper
Coordinating Collaborative Chat in Massive Open Online Courses
Gaurav Tomar, Sree Sankaranarayanan, Xu Wang, Carolyn Rose
Investigating How Student’s Cognitive Behaviors in MOOC Discussion Forums Affect Learning Gains
Xu Wang, Diyi Yang, Miaomiao Wen, Ken Koedinger, Carolyn Rose
A Case Study of Augmented Reality Simulation System Application in a Chemistry Course
Su Cai, Xu Wang, Feng-Kuang Chiang (Undergraduate Thesis)
Computers in Human Behavior'2014
A Case Study of Augmented Reality Simulation System Application in a Chemistry Course
Su Cai, Feng-Kuang Chiang, Xu Wang
International Journal of Engineering Education'2013