Eric Gong Da

Student Researcher & Future Educator — AI in Education, STEM Education & Educational Measurement

+852 5648 6137  ·  ericgongda@gmail.com  ·  Hong Kong SAR

01About

Profile

Early-career educator and researcher specializing in ICT, AI, and STEM education. Experienced in classroom and co-curricular teaching, education technology, and AI-assisted learning design, with a strong foundation in Python/C, web development workflows, and data-driven research. Passionate about bringing ethical, human-centered AI into secondary education.

I am a student researcher and future educator in artificial intelligence in education, STEM education, and educational measurement. My work focuses on GenAI-supported feedback, scientific representations, educational data mining, and knowledge tracing. I have two first-author publications, including research in Springer’s Lecture Notes in Computer Science. As an exchange student at Peking University, I contributed to KnowLP, a nationally recognized LLM-based clinical education knowledge graph. Through work with education companies and volunteer organizations, I have taught or served as a teaching assistant in more than ten secondary schools across Hong Kong. I am committed to educational equity and responsible AI.

GenAI-supported feedback Scientific representations Educational data mining Knowledge tracing LLM-assisted learning design & evaluation Ethics & human-centered AI in education
02Education

Academic Background

Expected 2029

The Education University of Hong Kong (EdUHK)

B.Ed. (Hons) (Secondary) — Information & Communication Technology · Hong Kong SAR

Feb 2026 – Jul 2026

Peking University

Exchange Student, Yuanpei College · Beijing, China

Exchange e-portfolio: the semester, KnowLP, and the campus →

  • Contributed to KnowLP, an LLM-based clinical education knowledge graph; awarded national Distinction (2026).
03Research & Publications

Selected Publications

First-author publications, published under Da Gong.

[1] Gong, D. Classroom-Free Educational Experimentation: A Stochastic Learning-Design Simulation Framework with LLM Optimization. The 12th International Conference on Behavioural and Social Computing (BESC), 16–18 October 2025, EdUHK, Hong Kong, China. In: Lecture Notes in Computer Science (LNCS), Springer.
[2] Gong, D., & Wang, Y. Illuminating Societal and Ethical Dimensions of AI in Course Evaluation: NLP-Enabled Bibliometric Analysis. The 2nd EdUHK & HKUST Joint International Conference on AI and Education. ISSN 3105-5702.
04Awards & Honors

Recognition

May 2026

National Excellent Medical Education Intelligent Agent — Distinction

China Association of Higher Education · For KnowLP, representing Peking University

2024–2025

Dean’s Honour List

The Education University of Hong Kong

2025

Best Pitching Award

International Competition on Artificial Intelligence in Education · EdUHK

2025

Quarterfinalist, Robocon Hong Kong Contest

Organising Committee, Robocon 2025 Hong Kong

05Experience

Teaching & Beyond

Mar 2025 – Present

Tutor (Part-time)

tramplus · Hong Kong SAR

  • Deliver small-group tutoring in ICT/STEM topics and exam preparation.
  • Support learners with practical programming exercises and web projects.
Sep 2024 – Sep 2025

Teaching Volunteer (Part-time, On-site)

EdQuity · Hong Kong SAR

  • Teach SEN students; adapt materials for diverse learning needs.
  • Assist with learning support, class facilitation, and basic ICT literacy.
Sep 2024 – Present

Actor (Part-time)

Hong Kong Tertiary Putonghua Recitation Society · Hong Kong SAR

  • Participate in public performances and recitations; contribute to cultural and language promotion.
2024 – Present

Core Member, Robotics Team

The Education University of Hong Kong

  • Contribute to competition robotics work, including the Robocon Hong Kong Contest 2025 (quarterfinalist).
06Selected Projects

Projects & Research Interests

Peking University

KnowLP — LLM-Driven Clinical Education Knowledge Graph

Yuanpei College · 2026

  • Knowledge graph developed from eight Oxford Medical Handbooks, generating ≈ 49,000 assessable knowledge components and 145,000 relationships.
  • Aligned with AAMC Core EPAs and USMLE categories; recognized with national Distinction by the China Association of Higher Education.
EdUHK

LLM-Optimized Learning Design

Stochastic simulation · 2025

  • Stochastic simulation frameworks for testing classroom-free instructional designs with LLM optimization (BESC 2025, LNCS).
EdUHK

Ethics in AI for Education

NLP & bibliometrics · 2025

  • Bibliometric and NLP pipelines to surface social and ethical themes in AI-related course evaluation.
07Skills & Languages

Competencies

Programming

Python, C

Tools & Frameworks

LaTeX, web development (front-end workflows)

Data & AI

Data science, big data concepts, AI prompt engineering

EdTech

ICT & STEM curriculum design; LLM-assisted learning design and evaluation

Languages: English (Proficient) · Putonghua / Mandarin (Native / Fluent) · Cantonese (Proficient)