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I will be at ISLS 2026 in Irvine and the Festival of Learning 2026 in Seoul, South Korea. Come say hi if you will be there.
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I passed my doctoral qualifying exam and officially became a Ph.D. candidate. A happy milestone.
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I attended AECT 2025 in Las Vegas and presented work on human-centered AI for learning and instructional design.
Hongming (Chip) Li 「李鸿铭」
email: hli3 [at] ufl.edu
Ph.D. Candidate / Human-AI Interaction Researcher / Full-Stack AI Systems Developer / Kaggle Master
I am a Ph.D. candidate at the University of Florida, working with Dr. Anthony Botelho at VIABLE Lab. My research investigates how people learn, collaborate, and interact with AI systems. I draw on Learning Analytics, Educational Data Mining, NLP/LLMs, and HCI to analyze complex behavioral data and to design AI-supported tools and interventions. A distinguishing aspect of my approach is that I often design and build the systems I study, which lets me iterate between empirical findings and system design in a tighter loop than either research or engineering alone would allow.
My current work centers on human-centered AI systems for assessment, feedback, safety, collaborative problem solving, and AI literacy, supported by the National Science Foundation, Gates Foundation, and OpenAI. I care about systems that are technically reliable, pedagogically grounded, and transparent enough for learners, researchers, educators, and end users to explore and interrogate.
I hold Master's degrees from Johns Hopkins University (Learning Sciences & Technologies) and the University of Southampton, UK (Education), with foundational training from Capital Normal University in Elementary Education and Linguistics. I also maintain an active machine learning practice on Kaggle, where I hold Competitions Master status (global Top 1%) with multiple top-ranked finishes.
Research Interests
News More updates on my VIABLE Lab profile
Publications For complete list, visit Google Scholar
* Corresponding author † Equal contribution
Awards
Funding, Fellowships and Other Research Awards
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Innovation in Design AwardMar 2026National AI Literacy Day
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Emerging Learning Technology AwardOct 2025Association for Educational Communications and Technology (AECT) DELT
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Best Paper NomineeJul 2025The 26th International Conference on Artificial Intelligence in Education (AIED 2025)
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Innovation and Responsibility in AI-Supported Education (iRAISE) Travel ScholarshipMar 2025The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)
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School of Teaching and Learning Travel AwardOct 2024University of Florida
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Doctoral Consortium Graduate Student Travel Support recipientJul 2024The 17th International Conference on Educational Data Mining (EDM 2024)
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OpenAI, InterLearn: Advancing Fair, Inclusive, and Adaptive Educational TechnologiesApr 2024 - Apr 2025Principal Investigator: Dr. Anthony Botelho (Award # 0000001997, $5,000)
Co-PI: Hongming (Chip) Li• Investigating the use of large language models (LLMs) in the educational context to address challenges of fairness and representativeness, focusing on developing explainable AI (XAI) for personalized student feedback.
• Aiming to enhance AI-based feedback systems by analyzing differences between human-written and AI-generated content and creating a taxonomy of effective feedback types.
Other Awards & Recognition
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Best Impact AwardMay 2022University of Southampton 2022 Academic Awards
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Outstanding Academic ScholarshipOct 2019Capital Normal University
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Pioneer Leadership Award for Outstanding UndergraduateMay 2019Beijing Municipal Education Commission
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Distinguished Student Leader Awards2018-2019Capital Normal University and College of Elementary Education
Professional Service
Professional Activities
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Web ChairJun 2026International Conference on Educational Data Mining (EDM) 2026 Organizing Committee
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Co-DirectorApr 2026UF College of Education 2025 Research Symposium Committee
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Session HostJun 2025International Society of the Learning Sciences Annual Meeting (ISLS 2025)
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Technology ChairMar 2025UF College of Education 2025 Research Symposium Committee
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Student VolunteerJun 2024International Society of the Learning Sciences Annual Meeting (ISLS 2024)
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Technology ChairMar 2024UF College of Education 2024 Research Symposium Committee
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Programme RepresentativeSep 2021 - Jul 2022University of Southampton
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Vice PresidentSep 2016 - May 2020Capital Normal University Student Union
Reviewing Service
Reviewer for Conferences
- Association for Educational Communications & Technology International Convention (AECT) 2024, 2025, 2026
- American Educational Research Association Annual Meeting (AERA) 2025, 2026
- International Conference on Artificial Intelligence in Education (AIED) 2025, 2026
- International Conference on Educational Data Mining (EDM) 2026
- International Society of the Learning Sciences (ISLS) 2024, 2025, 2026
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) AI for Education Day 2026
- Annual Conference on Neural Information Processing Systems (NeurIPS) Position Paper Track 2025, 2026
- Technical Symposium on Computer Science Education (SIGCSE TS) 2026
- Annual Meeting of the Association for Computational Linguistics (ACL) Student Research Workshop (SRW) 2025
- AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES) Student Program 2025
- International Conference on Artificial Intelligence and Statistics (AISTATS) 2025
- International Conference on Learning Representations (ICLR) Workshop on AI4CHL 2025
- Learning Analytics and Knowledge Conference (LAK) 2024, 2025
- British Educational Research Association Annual Conference (BERA) 2024
Reviewer for Journals
Development & Project Highlights
CHECKPOINT: AI-Powered Assessment Platform
Research Assistant, Lead Developer & Human-AI Interaction Researcher
Learning Engineering Tools Competition Catalyst Prize project for authoring, delivering, and studying AI-supported assessments. I lead the end-to-end platform architecture across teacher authoring, student runtime, analytics, and support workflows, with LLM generation pipelines, multi-agent workflows, secure telemetry, and deployable classroom research infrastructure.
LOGEN AI: AI-Powered Instructional Design Assistant
Research Assistant & Lead Developer & UX Researcher
Full-stack AI platform for transparent human-AI instructional design, generating learning objectives aligned with Bloom's Taxonomy and other educational frameworks. The system combines LLM integration, research-ready interaction logging, usability-driven iteration, and secure serverless deployment.
VIABLE Lab LLM API Router & Developer Portal
Lead System Architect & DevOps Engineer
Production-scale LLM gateway serving 6 educational platforms with intelligent provider routing, educational content vetting, real-time cost tracking across 12+ models, a developer portal, and comprehensive OpenAPI 3.0 documentation.
VIABLE Lab Research Website
Full-Stack Developer & UX Designer & DevOps Engineer
Migrated to Nuxt.js from Vue.js for modern research laboratory platform with dynamic components, automated CI/CD, and 40% performance improvement.
GraspableMath Collaborative Learning Dashboard
AI Engineering & Full-Stack Developer
Interactive dashboard visualizing real-time student collaboration with AI-enhanced analytics for learning pattern extraction, sense-making, and instructional recommendations. Recent work integrates LLM support for interpretable teacher-facing insights.
Class-Ready AI: Instructional Design for Pre-Service Teachers
Lead Developer
AI-powered platform providing guided practice for pre-service teachers in crafting effective learning objectives, with alignment to Common Core standards and Bloom's Taxonomy.
Provoking Minds: AI Agent Debate Platform
Product Manager & Lead Developer
AI agent debate platform designed to enhance critical thinking through structured AI-driven debates and guided analysis of arguments and logical structures.
Pro-CaRE: Professional Career Recommendation Engine
Lead Developer
AI-enabled recommendation system for undergraduate engineering students to craft optimal career paths through personalized internship experiences and skill gap analysis.
VETTING Chat AI Assistant
Full-Stack Developer & UX Designer
AI assistant validation and safety tool for educational research, with secure identity verification and a modular deployment framework for studying how constrained and policy-aware chatbots support deeper student inquiry.
SmarterFlash Adaptive Learning System
Product Manager & Developer
AI-powered flashcard and self-regulated learning system that studies the balance between automation and learner agency while adapting practice to individual learning patterns.
PRODUCTIVE: AI Math Problem Generator
Research Assistant & Full-Stack Developer
Gates Foundation-funded platform enabling teachers to generate productive failure math scenarios with LLM integration, social features, and collaborative educator community.
Creativity Assessment: AI-Powered Evaluation Tool
Developer
Rubric-guided multimodal creativity assessment framework using high-capacity generative AI to evaluate human and machine creativity in educational sandbox game environments.
Rubber Ducking Problem-Solving Tool
Developer
AI-powered debugging and problem-solving assistant that helps users articulate issues and receive intelligent prompts and suggestions for resolution.
NSF EAGER: Orchestrating Productive Collaboration
Research Assistant
Multimodal machine learning analysis of student collaboration in mathematics education, featuring data preprocessing workflows and unsupervised clustering algorithms.
Side Projects
CiteBar: Real-time Google Scholar Citation Tracker
Creator & Lead Developer
Elegant macOS menu bar application that keeps Google Scholar citation metrics at your fingertips. Perfect for researchers tracking paper impact and celebrating citation milestones.
Google Gemini CLI
Open Source Contributor
Contributed to Google's official Gemini CLI tool, a command-line interface for interacting with Gemini AI models.
ChatcatGPT: Customizable AI Assistant
Creator & Full-Stack Developer
A streamlined, customizable AI assistant web application that utilizes OpenAI API. Features both web-hosted and offline versions, allowing users to tailor AI assistant identity and capabilities to their specific needs.