PedaNova Leadership

Dr. Peter HU Dongpin

CEO • Founder

Dr. Peter HU Dongpin portrait

Dr. Peter HU is an Educational Researcher and Application Developer. He is the CEO of PedaNova Ed-Tech.

Dr. Peter Hu publishes research papers in top 10 journals in Education & Educational Research, as ranked by Web of Science. He works at the intersection of educational technology, computer science, artificial intelligence, and application development. His long-term work focuses on using technology to accelerate the world’s transition to personalized learning and teaching. PedaNova embodies this vision by combining cutting-edge AI technologies with theory-grounded learning analytics to support the entire education ecosystem, serving students, teachers, and parents.

Dr. Peter earned his PhD in Educational Technology from the University of Hong Kong and his BSc in Computer Science (Machine Learning and Artificial Intelligence) from the University of London.

About PedaNova

Research-informed technology, built for real learning environments

PedaNova Ed-Tech researches and develops adaptive interactive learning systems. We are not a pure technology company detached from classrooms; we design learning platforms from educational research, teaching practice, learner needs, and implementation realities.

Team

Research-informed pedagogy, mathematics education, special education, psychology, and application development

Dr. CAO Yuan portrait

Pedagogy · Research & Entrepreneurship

Dr. CAO Yuan

Dr. CAO Yuan contributes pedagogical expertise, entrepreneurial spirit, and cross-border research and startup experience in Hong Kong and France, helping PedaNova connect evidence-based learning design with product and market execution. Dr. CAO received her PhD in Chinese Education from the Education University of Hong Kong.

Dr. Phoebe, KANG Xia (Chief Scientific Officer, CSO) portrait

Mathematics Education

Dr. Phoebe, KANG Xia (Chief Scientific Officer, CSO)

Dr. Phoebe, KANG Xia brings mathematics education expertise, teaching experience, and practical knowledge of how students misunderstand functions, algebra, geometry, and problem solving. Her perspective shapes visualization, practice design, and mistake review. Dr. KANG received her PhD in Mathematics Education from the University of Hong Kong.

Mr. Scott Baird (Co-Founder & CCO) portrait

US Curriculum · US Networks · Special Education

Mr. Scott Baird (Co-Founder & CCO)

Mr. Scott Baird is a licensed senior special educator and a U.S. curriculum expert. He holds licensure in Special Education, Reading, and Dyslexia, and a Master’s degree in Education specializing in dyslexia. With strong networks across several U.S. school districts and expertise in adaptive, student-centered learning, he helps PedaNova build partnerships with school principals and design inclusive, evidence-based systems that personalize learning and support students with diverse learning needs.

Mr. Ludwig YU Jianxing portrait

Psychology · Senior Application Development

Mr. Ludwig YU Jianxing

Mr. Ludwig YU Jianxing contributes psychology and senior application development experience, including prior work on ENA 3D for learning analytics and a translation application for veterinary education. His experience strengthens learner-experience design and scalable technical development.

ENA 3D Research ProjectHealthOne (Veterinary Education) R&D Project
Dr. WU Yajun portrait

Teacher Digital Literacy · Applied Linguistics

Dr. WU Yajun

Dr. WU Yajun brings expertise in teacher digital literacy, applied linguistics, and language education research, helping PedaNova better understand how teachers adopt, evaluate, and integrate AI-powered learning technologies in real classroom contexts. His work strengthens PedaNova’s capacity to design educator-facing tools that are pedagogically meaningful, research-informed, and practical for classroom implementation.

Honorary Advisors

Honorary Advisors in Learning Sciences, AI Tutoring, and Shadow Education

Professor CHEN Gaowei portrait

Learning Sciences · AI in Education

Professor CHEN Gaowei

Professor CHEN Gaowei is Tin Ka Ping Foundation Outstanding Young Professor and a tenured associate professor at the Faculty of Education, The University of Hong Kong. He is a distinguished learning scientist and has been editors to several top journals in the field. Professor Chen can advise PedaNova on applying learning sciences, AI in education, classroom discourse analysis, video-based learning, and learning analytics to develop evidence-based technologies that personalize learning, support educators, and make student progress more visible and actionable.

Mr. CAI Zhiqiang portrait

Intelligent Tutoring Systems · Text Analysis

Mr. CAI Zhiqiang

Mr. CAI Zhiqiang is a senior data scientist in the field of educational technology. He currently works as a data scientist at WCER, University of Wisconsin–Madison. Before moving to Madison in 2020, he was a researcher at the Institute for Intelligent Systems, University of Memphis. His research interests include mathematical modeling, algorithm design, and software development for conversational intelligent tutoring systems and text analysis. He can advise PedaNova on innovative education technologies, strengthening AI-supported tutoring, learner analytics, and personalized feedback.

Dr. LI Jun portrait

Shadow Education · Market Strategy

Dr. LI Jun

Dr. LI Jun is a leading scholar-practitioner in shadow education and private tutoring entrepreneurship in China. With a PhD from The University of Hong Kong, senior leadership experience in education organizations, and deep networks across tutoring businesses, schools, NGOs, and elite families, he can support PedaNova as an honorary advisor for shadow-education market development, partnership building, and consumer acquisition. His research on how private tutoring entrepreneurs use social networks to grow their institutions makes him especially valuable for helping PedaNova build trusted networks and reach high-intent education consumers.

Team philosophy

A measurable adaptive cycle

MAIS reflects our team’s expertise through a measurable adaptive cycle—visualize, practise, receive feedback, review mistakes, and track progress—with user feedback guiding rapid improvements to content, analytics, visualizations, and teacher-console workflows.

Learn more about the founder’s research and development work