ABOUT OPEN ENA

A small team.
An open horizon.

Open ENA brings together learning science, quantitative ethnography, artificial intelligence, and educational technology.

We are building a transparent and approachable path into Epistemic Network Analysis—one where methods, interface decisions, and future capabilities can be inspected rather than hidden.

THE TEAM

People behind the open work.

Four perspectives, connected by a shared commitment to understandable research tools.
Portrait of Dr. Peter HU Dongpin

The Education University of Hong Kong

Dr. Peter HU Dongpin

Educational researcher · Application developer

His work spans technology-enhanced learning, learning analytics, artificial intelligence in education, network analysis, and content and language integrated learning.

EdUHK profile
Portrait of Prof. Eric Hamilton

Pepperdine University

Prof. Eric Hamilton

Jan and Robert Davidson Endowed Professor of Education and Technology

A learning scientist and technologist whose work connects technology innovation, global collaboration, and quantitative ethnography.

Pepperdine profile
Portrait of Prof. Sandy TU Yun-Fang

National Taiwan University of Science and Technology

Prof. Sandy TU Yun-Fang

Assistant Professor · Graduate Institute of Digital Learning and Education

Her work spans artificial intelligence in digital learning, cognitive and social networks, data literacy, data visualization, and graph analysis.

Taiwan Tech profile
Portrait of Ms. Shirleen XU Qiaolin

Meredith College

Ms. Shirleen XU Qiaolin

Open ENA team

A member of the Open ENA team affiliated with Meredith College.

Portrait and affiliation supplied by the Open ENA team

PROJECT PUBLICATIONS

Research behind the open work.

Selected work across three-dimensional ENA, data literacy, and the development of open, web-based analysis tools.
Project cover artwork showing JavaScript syntax and a prominent JS chip connecting a smoked-glass development environment to a browser-based epistemic network tool

Forthcoming conference paper · 2026

Design and development from rENA to jENA: Accelerating the creation of web-based Open ENA tools

Hu, D., Hamilton, E., Tu, Y. F., & Xu, Q. (2026, November). Design and development from rENA to jENA: Accelerating the creation of web-based Open ENA tools. [Conference paper]. International Conference on Quantitative Ethnography.

ICQE 2026 · Publication details forthcoming
Project cover artwork showing a large smoked-glass code editor and an overlapping browser-based epistemic network preview

Journal article · 2025

Effects on the learning achievement, approaches to learning, and multi-stage reflection quality of students with different levels of digital self-efficacy in a data literacy course: An ARCS-based self-reflective online learning model

Tu, Y. F., Hwang, G. J., & Hu, D. (2025). Effects on the learning achievement, approaches to learning, and multi-stage reflection quality of students with different levels of digital self-efficacy in a data literacy course: An ARCS-based self-reflective online learning model. Computers & Education, 238, 105397. https://doi.org/10.1016/j.compedu.2025.105397

View journal article
Project cover artwork showing a curated three-dimensional epistemic network suspended inside a transparent glass coordinate volume

Conference paper · 2024

Development of ENA 3D: A tool for epistemic network analysis in three-dimensional space

Yu, J., Hu, D., & Wang, C. H. (2024). Development of ENA 3D: A tool for epistemic network analysis in three-dimensional space. In Y. J. Kim & Z. Swiecki (Eds.), Advances in quantitative ethnography (Communications in Computer and Information Science, Vol. 2278, pp. 152–165). Springer. https://doi.org/10.1007/978-3-031-76335-9_11

View conference paper

WHY OPEN

Openness is more than access.

It means making the path from evidence to interpretation visible: what the model receives, what the computation does, what the figure shows, and what it cannot claim.

Explore Open ENA