Exploring the intersection of Artificial Intelligence and Education to create innovative learning solutions.
Specializing in Intelligent Tutoring Systems, automated problem solving, and educational technology research with focus on mathematics education.
🔬 Developing cutting-edge qualia role-based entity-dependency graphs for Chinese algebra story problems.
Ph.D. Candidate in Education Technology at Central China Normal University
Hao Meng is a Ph.D. candidate in Education Technology at the Faculty of Artificial Intelligence in Education, Central China Normal University, under the supervision of Prof. Xinguo Yu. His research focuses on developing intelligent tutoring systems for mathematics education, with particular emphasis on Chinese algebra story problems.
His current research centers on the qualia role-based entity-dependency graph (EDG) approach for solving Chinese math word problems. He has published 8 research papers (1 SCI journal article and 7 EI conference papers) and actively participates in national research projects.
Hao has extensive experience in educational technology research and has served as a teaching assistant, research assistant, and conference organizer. His technical expertise includes Java, Python, R, and LaTeX, with strong competencies in machine learning, natural language processing, and educational data analysis.
Research Highlights:
Current Projects:
Ph.D. in Education Technology, 2019 - Present
Central China Normal University
M.S. in Computer Science, 2017 - 2019
Central China Normal University & University of Wollongong
B.S. in Software Engineering, 2013 - 2017
Taiyuan University of Technology
Exchange Student Program, 2015
National Kaohsiung Normal University
Overseas Study Program, 2019
University of Wollongong
🛠️ Technical Competencies & Research Capabilities
Advanced - Deep Learning, NLP, Data Analysis with TensorFlow, PyTorch, scikit-learn
Proficient - System Development, Algorithm Implementation, Educational Software
Statistical Analysis, Data Visualization, Educational Research Methods
Academic Writing, Publication-ready Documents, Conference Presentations
Deep Learning, Neural Networks, Natural Language Processing, Knowledge Graphs
Educational Technology, Intelligent Tutoring Systems, Research Methodology
Teaching Assistant, Student Supervision, Conference Organization
Educational AI Systems, Problem Solving Algorithms, Software Architecture
Chinese (Native), English (Fluent - Academic & Professional)
Academic & Professional Background
Organization committee member for international conferences
IEEE TALE 2021:
IEIR 2022:
Research assistant under Prof. Xinguo Yu’s research group
Key Projects:
Contributions:
Supervised by Prof. Xinguo Yu at Faculty of Artificial Intelligence in Education
Research Focus:
Achievements:
Teaching assistant for international joint programs
Courses Assisted:
Responsibilities:
Joint Master’s program in Computer Science
Academic Focus:
Thesis: Research on intelligent problem-solving algorithms
Bridging AI and Education for Better Learning Outcomes
📖 Selected Research Papers & Academic Contributions
🏆 Awards, Grants, and Academic Recognition