Brendan R. Eagan

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 34

Top Topics

Mathematical Foundations

Temporal Context

Systematic Review

Network Analysis

Top Venues

Int. J. Comput. Support. Collab. Learn.

Publications

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) (2023)
Zhiqiang Cai, Brendan R. Eagan, David Williamson Shaffer
Negative Reversion: Toward Intelligent Co-raters for Coding Qualitative Data in Quantitative Ethnography. ICQE (2023)
Yeyu Wang, Mamta Shah, Francisco A. Jimenez, Cheryl Wilson, Muhammad Ashiq, Brendan R. Eagan, David Williamson Shaffer
: A Transmodal Analysis. ICQE (2023)
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)
Golnaz Arastoopour Irgens, Brendan R. Eagan
The Foundations and Fundamentals of Quantitative Ethnography. ICQE (2022)
Zachari Swiecki, Brendan R. Eagan
The Role of Data Simulation in Quantitative Ethnography. ICQE (2022)
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) (2022)
Zhiqiang Cai, Brendan R. Eagan, Cody Marquart, David Williamson Shaffer
LSTM Neural Network Assisted Regex Development for Qualitative Coding. ICQE (2022)
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)
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)
Peter Levine, Brendan R. Eagan, David Williamson Shaffer
Deliberation as an Epistemic Network: A Method for Analyzing Discussion. ICQE (2021)
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)
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)
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)
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)
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)
Brendan R. Eagan, Jais Brohinsky, Jingyi Wang, David Williamson Shaffer
Testing the reliability of inter-rater reliability. LAK (2020)
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)
Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer
Using Topic Modeling for Code Discovery in Large Scale Text Data. ICQE (2020)
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 (2020)
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)
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)
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)
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)
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)
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)
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 (2019)
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)
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)
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) (2018)
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)
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)
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)
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)
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)