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2020 – today
- 2023
[j5]Mladen Rakovic
, Nora'ayu Ahmad Uzir, Wannisa Matcha, Brendan R. Eagan, Jelena Jovanovic, David Williamson Shaffer, Abelardo Pardo, Dragan Gasevic:
Network Analytics to Unveil Links of Learning Strategies, Time Management, and Academic Performance in a Flipped Classroom. J. Learn. Anal. 10(3): 64-86 (2023)- [c30]Yeyu Wang, Mamta Shah, Francisco A. Jimenez, Cheryl Wilson, Muhammad Ashiq, Brendan R. Eagan, David Williamson Shaffer:
Developing Nursing Students' Practice Readiness with Shadow Health® Digital Clinical ExperiencesrmTM: A Transmodal Analysis. ICQE 2023: 365-380 - [c29]Zhiqiang Cai, Brendan R. Eagan, David Williamson Shaffer:
Negative Reversion: Toward Intelligent Co-raters for Coding Qualitative Data in Quantitative Ethnography. ICQE 2023: 426-437 - [c28]Zhiqiang Cai, Cody Marquart, Brendan R. Eagan, Yaxuan Xiao, David Williamson Shaffer:
A Lightweight Interactive Regular Expression Generator for Qualitative Coding in Quantitative Ethnography. ICQE 2023: 455-469 - 2022
- [j4]Toshio Mochizuki, Hiroshi Sasaki, Takehiro Wakimoto, Yoshihiko Kubota, Brendan R. Eagan, Ryoya Hirayama, Yuta Yamaguchi, Natsumi Yuki, Hideo Funaoi, Hideyuki Suzuki, Hiroshi Kato:
Mediating and perspective-taking manipulatives: Fostering dynamic perspective-taking by mediating dialogic thinking and bolstering empathy in role-play and reflection for microteaching. Int. J. Comput. Support. Collab. Learn. 17(4): 489-518 (2022) - [c27]Golnaz Arastoopour Irgens, Brendan R. Eagan:
The Foundations and Fundamentals of Quantitative Ethnography. ICQE 2022: 3-16 - [c26]Zhiqiang Cai, Brendan R. Eagan, Cody Marquart, David Williamson Shaffer:
LSTM Neural Network Assisted Regex Development for Qualitative Coding. ICQE 2022: 17-29 - [c25]Jaeyoon Choi, Andrew R. Ruis, Zhiqiang Cai, Brendan R. Eagan, David Williamson Shaffer:
Does Active Learning Reduce Human Coding?: A Systematic Comparison of Neural Network with nCoder. ICQE 2022: 30-42 - [c24]Zachari Swiecki, Brendan R. Eagan:
The Role of Data Simulation in Quantitative Ethnography. ICQE 2022: 87-100 - 2021
- [c23]Peter Levine, Brendan R. Eagan, David Williamson Shaffer:
Deliberation as an Epistemic Network: A Method for Analyzing Discussion. ICQE 2021: 17-32 - [c22]David Williamson Shaffer, Brendan R. Eagan, Mariah A. Knowles, Clara Porter, Zhiqiang Cai:
Zero Re-centered Projection: An Alternative Proposal for Modeling Empty Networks in ENA. ICQE 2021: 66-79 - [c21]Szilvia Zörgo, Gjalt-Jorn Ygram Peters, Clara Porter, Marcia Moraes, Savannah Donegan, Brendan R. Eagan:
Methodology in the Mirror: A Living, Systematic Review of Works in Quantitative Ethnography. ICQE 2021: 144-159 - [c20]Mamta Shah, Amanda Siebert-Evenstone, Hollie Moots, Brendan R. Eagan:
Quality and Safety Education for Nursing (QSEN) in Virtual Reality Simulations: A Quantitative Ethnographic Examination. ICQE 2021: 237-252 - [c19]Mamta Shah, Amanda Siebert-Evenstone, Brendan R. Eagan, Roxanne Holthaus:
Modeling Educator Use of Virtual Reality Simulations in Nursing Education Using Epistemic Network Analysis. iLRN 2021: 1-8 - 2020
- [j3]Yotam Hod, Shir Katz, Brendan R. Eagan:
Refining qualitative ethnographies using Epistemic Network Analysis: A study of socioemotional learning dimensions in a Humanistic Knowledge Building Community. Comput. Educ. 156: 103943 (2020) - [c18]Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer:
Using Topic Modeling for Code Discovery in Large Scale Text Data. ICQE 2020: 18-31 - [c17]Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer:
The Mathematical Foundations of Epistemic Network Analysis. ICQE 2020: 91-105 - [c16]Ariel Fogel, Zachari Swiecki, Cody Marquart, Zhiqiang Cai, Yeyu Wang, Jais Brohinsky, Amanda Siebert-Evenstone, Brendan R. Eagan, Andrew R. Ruis, David Williamson Shaffer:
Directed Epistemic Network Analysis. ICQE 2020: 122-136 - [c15]Luis Pablo Prieto, María Jesús Rodríguez-Triana, Tobias Ley, Brendan R. Eagan:
The Value of Epistemic Network Analysis in Single-Case Learning Analytics: A Case Study in Lifelong Learning. ICQE 2020: 202-217 - [c14]Brendan R. Eagan, Jais Brohinsky, Jingyi Wang, David Williamson Shaffer:
Testing the reliability of inter-rater reliability. LAK 2020: 454-461
2010 – 2019
- 2019
- [j2]Dragan Gasevic, Srecko Joksimovic, Brendan R. Eagan, David Williamson Shaffer:
SENS: Network analytics to combine social and cognitive perspectives of collaborative learning. Comput. Hum. Behav. 92: 562-577 (2019) - [c13]Brendan R. Eagan, Zachari Swiecki, Cayley Farrell, David W. Shaffer:
The Binary Replicate Test: Determining the Sensitivity of CSCL Models to Coding Error. CSCL 2019 - [c12]Danielle P. Espino, Seung B. Lee, Brendan R. Eagan, Eric Hamilton:
An Initial Look at the Developing Culture of Online Global Meet-ups in Establishing a Collaborative, STEM Media-Making Community. CSCL 2019 - [c11]Andrew R. Ruis, Amanda Siebert-Evenstone, Rebecca Pozen, Brendan R. Eagan, David W. Shaffer:
Finding Common Ground: A Method for Measuring Recent Temporal Context in Analyses of Complex, Collaborative Thinking. CSCL 2019 - [c10]Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer, Xiangen Hu, Arthur C. Graesser:
nCoder+: A Semantic Tool for Improving Recall of nCoder Coding. ICQE 2019: 41-54 - [c9]Takehiro Wakimoto, Hiroshi Sasaki, Ryoya Hirayama, Toshio Mochizuki, Brendan R. Eagan, Natsumi Yuuki, Hideo Funaoi, Yoshihiko Kubota, Hideyuki Suzuki, Hiroshi Kato:
Student Teachers' Discourse During Puppetry-Based Microteaching. ICQE 2019: 234-244 - [c8]Toshio Mochizuki, Hiroshi Sasaki, Yuta Yamaguchi, Ryoya Hirayama, Yoshihiko Kubota, Brendan R. Eagan, Takehiro Wakimoto, Natsumi Yuuki, Hideo Funaoi, Hideyuki Suzuki, Hiroshi Kato:
Effects of Perspective-Taking Through Tangible Puppetry in Microteaching and Reflection on the Role-Play with 3D Animation. ICQE 2019: 315-325 - [e1]Brendan R. Eagan, Morten Misfeldt, Amanda Siebert-Evenstone:
Advances in Quantitative Ethnography - First International Conference, ICQE 2019, Madison, WI, USA, October 20-22, 2019, Proceedings. Communications in Computer and Information Science 1112, Springer 2019, ISBN 978-3-030-33231-0 [contents] - 2018
- [j1]Andras Csanadi, Brendan R. Eagan, Ingo Kollar, David Williamson Shaffer, Frank Fischer:
When coding-and-counting is not enough: using epistemic network analysis (ENA) to analyze verbal data in CSCL research. Int. J. Comput. Support. Collab. Learn. 13(4): 419-438 (2018) - [c7]Andrew R. Ruis, Amanda Siebert-Evenstone, Rebecca Pozen, Brendan R. Eagan, David Williamson Shaffer:
A Method for Determining the Extent of Recent Temporal Context in Analyses of Complex, Collaborative Thinking. ICLS 2018 - [c6]Simon Skov Fougt, Amanda Siebert-Evenstone, Brendan R. Eagan, Sara Tabatabai, Morten Misfeldt:
Epistemic network analysis of students' longer written assignments as formative/summative evaluation. LAK 2018: 126-130 - [c5]Sihua Hu, Kaitlin T. Torphy, Zixi Chen, Brendan R. Eagan:
How Do US Teachers Align Instructional Resources to The Common Core State Standards: A Case of Pinterest. SMSociety 2018: 315-319 - 2017
- [c4]Andras Csanadi, Brendan R. Eagan, David W. Shaffer, Ingo Kollar, Frank Fischer:
Collaborative and Individual Scientific Reasoning of Pre-Service Teachers: New Insights Through Epistemic Network Analysis (ENA). CSCL 2017 - [c3]Brendan R. Eagan, Bradley Rogers, Ronald C. Serlin, Andrew R. Ruis, Golnaz Arastoopour Irgens, David Williamson Shaffer:
Can We Rely on IRR? Testing the Assumptions of Inter-Rater Reliability. CSCL 2017 - [c2]Zhiqiang Cai, Brendan R. Eagan, Nia Dowell, James W. Pennebaker, Arthur C. Graesser, David W. Shaffer:
Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment. EDM 2017 - 2010
- [c1]Alan J. Hackbarth, Sharon J. Derry, Brendan R. Eagan, Julia Gressick:
Adapting workflow technology to design-based research: development of a method for organizing the "messiness" of research in technology-rich online learning environments. ICLS (1) 2010: 667-674
Coauthor Index
aka: David W. Shaffer
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