About Me


Hello, I'm Hongming (Chip) Li, a Ph.D. student in Educational Technology at the University of Florida. My academic journey has taken me from Capital Normal University in Beijing to the University of Southampton and Johns Hopkins University, where I've honed my skills and passion for integrating technology into education.
My research interests lie at the exciting intersection of education and emerging technologies:
- Learning Analytics and Educational Data Mining
- Machine Learning and Natural Language Processing in Education
- Full Stack Development for Education
- Explainable and Human-centered Artificial Intelligence (XAI / HAI)
- Human-Computer Interaction in Educational Contexts
- Equity and Fairness in Education
- Instructional Design and Educational Gamification
My experience with emerging learning technologies is extensive and varied. I'm currently working on projects using multimodal machine learning to enhance student collaboration in mathematics. I've also developed practical tools like 'AHAi' for responsible AI use in academic writing and 'ChatcatGPT', integrating a chatbot interface with an AI-generated text detector.
As an educator and researcher, I aspire to push the boundaries of educational technology, creating more effective, equitable, and engaging learning environments that cater to diverse student needs.
ELT Vision
Emerging Learning Technologies (ELT) stand at the forefront of a revolution in education, promising to transform how we teach, learn, and interact with knowledge. These technologies, ranging from artificial intelligence and machine learning to virtual and augmented reality, have the potential to create personalized, engaging, and highly effective learning experiences. However, the path to fully realizing this potential is fraught with challenges that demand our attention and innovative solutions.
The promise of ELT lies in its ability to adapt to individual learning needs, provide immediate feedback, and create immersive learning environments that were once the realm of science fiction. Imagine a classroom where AI-powered systems analyze each student's learning patterns in real-time, adjusting the curriculum to optimize comprehension and retention. Picture students exploring historical events through virtual reality, gaining a visceral understanding of past cultures and societies. Envision a world where natural language processing allows students to engage in meaningful conversations with AI tutors, available 24/7 to answer questions and provide guidance.

However, as we stand on the brink of this educational revolution, we must navigate a complex landscape of challenges. Foremost among these is the issue of equity and access. As we increasingly rely on technology-enhanced learning, we risk exacerbating the digital divide, potentially leaving behind students from disadvantaged backgrounds or areas with limited technological infrastructure. Addressing this challenge requires a concerted effort from policymakers, educational institutions, and technology providers to ensure that all students have access to the necessary devices and high-speed internet connectivity. Moreover, we must develop ELT solutions that can function effectively across a range of technological capabilities, ensuring that students with older or less powerful devices are not excluded from these innovative learning experiences.
Privacy and data security present another significant hurdle in the widespread adoption of ELT. As we collect more data on student performance and behavior to power personalized learning algorithms, we must be vigilant in protecting this sensitive information. Developing robust data governance frameworks, implementing state-of-the-art encryption methods, and educating students, parents, and educators about digital citizenship and data privacy are crucial steps in building trust in ELT systems. We must strike a delicate balance between leveraging data for educational insights and safeguarding individual privacy rights.
The rapid pace of technological advancement also poses challenges for educator training and professional development. To effectively integrate ELT into their teaching practices, educators need ongoing support and opportunities to develop their technological pedagogical content knowledge (TPACK). This requires a fundamental shift in teacher education programs and a commitment to continuous professional development that keeps pace with technological innovations. We must empower educators not just as users of technology, but as critical evaluators and creative implementers of ELT in their classrooms.
As we navigate these challenges, we must remain focused on our ultimate goal: creating more effective, engaging, and inclusive learning environments for all students. The future I envision is one where ELT seamlessly integrates into educational ecosystems, enhancing rather than replacing traditional teaching methods. In this future, adaptive learning systems powered by AI provide personalized learning pathways, adjusting in real-time to student needs and preferences. Virtual and augmented reality transform how students interact with complex concepts, allowing for immersive experiences that bring abstract ideas to life. Learning analytics and educational data mining offer unprecedented insights into the learning process, enabling educators to make data-informed decisions and intervene proactively when students struggle.
Realizing this vision demands a holistic approach that considers the ethical implications of AI in education, ensures algorithmic fairness, and prioritizes the development of human-centered AI systems that are transparent and explainable. We must strive to create technologies that empower educators rather than replace them, enhancing their ability to provide the human touch that is so crucial in education. Furthermore, the future of ELT must be built on a foundation of rigorous research and evidence. As we develop and implement new technologies, it's essential to continuously evaluate their effectiveness and impact on learning outcomes.
In conclusion, the role of Emerging Learning Technologies in educational institutions is poised to grow significantly in the coming years. By fostering a collaborative ecosystem that brings together educators, researchers, technologists, and policymakers, we can work towards a future where ELT enhances learning experiences, promotes equity, and prepares students for the challenges of an increasingly digital world. As we navigate this exciting frontier, we must remain committed to the core values of education – fostering curiosity, critical thinking, and a love of learning – while harnessing the power of technology to create more effective, engaging, and inclusive learning environments for all.
Projects
Augmented Reality (AR) in Chemistry Education
Detailed AR Project Files
Explore our detailed AR project documentation directly on this page:

AR app interface: Atomic structure visualization
Project Overview
Our Instructional Design for Augmented Reality (IDAR) project aims to enhance chemistry education by leveraging AR technology. Designed for 9th-grade high school students, this approach seeks to make abstract chemical concepts more tangible and interactive.
Key Features
- ★Interactive 3D atomic models
- ★Visualization of chemical bonding processes
- ★AR-enhanced periodic table exploration
- ★Virtual chemical reaction simulations
- ★Collaborative AR molecule building
Learning Objectives
- Explore 3D atomic modeling with AR
- Analyze atomic structures interactively
- Understand molecule formation and bonding
- Investigate periodic table relationships
- Visualize and predict chemical reactions
- Create AR presentations of chemical concepts
Teaching Strategies
- Guided inquiry with AR markers
- Collaborative AR-based activities
- Project-based learning with AR elements
- Gamified AR challenges
- Real-time visual feedback
AR Visualizations

AR demonstration of multi-atom synthesis (2H + O)

Element cards for AR interaction
Try ChemistryAR
Experience our AR application firsthand! Download ChemistryAR and explore atomic structures in augmented reality.
Compatible with Android devices running Android 12.0 and above.
Collaborative AR Project
This AR in Chemistry Education project is a collaborative effort. My colleague, Seiyon Lee, and I have both contributed to this project. While we worked together on the overall concept, Seiyon may offer a different perspective on our AR application in chemistry education.
Final Reflection
My ELT Journey
Throughout EME 6067, my understanding of Emerging Learning Technologies has evolved from theoretical concepts to practical implementations. This journey has been marked by hands-on experience with various technologies, collaborative projects, and deep insights into the future of education. Each project has contributed uniquely to my growth as an educational technologist and researcher.
Immersive Technologies in Education
Through our AR Chemistry project and VR Wetlands Explorer, I've witnessed firsthand how immersive technologies can transform abstract concepts into tangible experiences. The AR project demonstrated the power of visualization in chemistry education, while the VR project showed how virtual field trips can break down geographical and socioeconomic barriers in environmental education.
Cultural Integration & Technology
The 3D/MR project on Chinese architecture revealed the potential of technology in cultural education. By combining 3D modeling with Mixed Reality, we created an engaging way to preserve and teach cultural heritage, demonstrating how modern technology can bridge cultural and historical understanding.
AI-Powered Learning Design Innovation
A significant highlight of my journey was the development of innovative AI tools for learning design. Our team created a sophisticated AI-powered system that revolutionizes how educators approach instructional design. This tool not only streamlines the design process but also introduces creative elements through AI-generated content and adaptive learning pathways.
The development of this tool taught me valuable lessons about the intersection of AI and education, particularly how AI can enhance rather than replace human creativity in educational design. It demonstrated the potential of AI to serve as a powerful assistant in educational content creation while maintaining the essential human element in teaching and learning.
Policy & Ethics in Educational Technology
My research on Gen AI policies in education has highlighted the complex balance between innovation and responsibility. This work has deepened my understanding of how institutional policies must evolve to support technological integration while maintaining academic integrity and ensuring equitable access.
Key Takeaways
Collaborative Innovation
Working with diverse teams enhanced our projects through different perspectives and complementary skills.
Accessibility First
Designing for accessibility ensures our educational innovations reach all learners, regardless of their circumstances.
Continuous Innovation
The field of educational technology requires constant learning and adaptation to new tools and methodologies.
Looking Forward
This course has equipped me with both the technical skills and theoretical understanding needed to contribute meaningfully to the future of education. Moving forward, I aim to:
- Continue exploring the intersection of immersive technologies and cultural education
- Advocate for responsible AI integration in educational settings
- Develop more inclusive and accessible learning experiences
- Bridge the gap between technological innovation and practical implementation in classrooms