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.
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.
Open ENA adalah platform nonkomersial untuk keperluan pendidikan dan penelitian dan akan tetap gratis selamanya.
The Education University of Hong Kong
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
3D ENA Research Group · Hong Kong
ENA variants · Dimensionality-reduction algorithms
He has played a pioneering role in advancing ENA variants such as 3D ENA and dimensionality-reduction algorithms for ENA. As the key developer of 3D ENA 1.0, he combines computer science and psychology to develop interactive research tools.
3D ENA team profile
National Taiwan University of Science and Technology
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
Meredith College, North Carolina, USA
Open ENA team
A member of the Open ENA team affiliated with Meredith College, North Carolina, USA.
Forthcoming conference paper · 2026
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
Journal article · 2025
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
Conference paper · 2024
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 paperOpen ENA dibangun di atas penelitian tentang teori dan metode Quantitative Ethnography (QE) serta Epistemic Network Analysis (ENA). Kami menyampaikan penghargaan kepada University of Wisconsin–Madison, Profesor David Williamson Shaffer, serta para peneliti, pengembang perangkat lunak, dan kolaborator di Epistemic Analytics Lab pada Wisconsin Center for Education Research atas kontribusi mendasar dan berkelanjutan mereka terhadap QE, ENA, dan perangkat webENA.
QE menggabungkan pemahaman kualitatif tentang aktivitas manusia dalam konteksnya dengan analisis kuantitatif. (Shaffer, 2017)
ENA menganalisis kemunculan bersama unsur-unsur yang telah dikodekan dalam konteks yang bermakna untuk membangun jaringan hubungan, serta mendukung visualisasi dan perbandingan statistik jaringan-jaringan tersebut. (Shaffer et al., 2016)
Berdasarkan penelitian ini, Open ENA menyatukan data yang telah dikodekan, pengaturan model, dan perbandingan jaringan dalam alur kerja penelitian di peramban. Peneliti tetap perlu menafsirkan hasil dengan mempertimbangkan pertanyaan penelitian, dasar pengodean, dan bahan kualitatif asli. (Shaffer & Ruis, 2017)
Tim Open ENA menggunakan dan merujuk pada perangkat webENA ketika membentuk tampilan dan tata letak awal antarmuka platform ini. Kami secara tegas mengakui bahwa acuan awal antarmuka tersebut berasal dari tim penelitian ENA asli dan karya desain webENA mereka di Madison, Wisconsin, Amerika Serikat (Madison, Wisconsin, USA).
Visualisasi jaringan ENA juga mengacu pada penelitian tentang desain visual dan interpretasi. (Tan et al., 2022)
Open ENA adalah platform independen yang dikelola oleh tim Open ENA.