Brendan R. Eagan

According to our database, Brendan R. Eagan authored at least 32 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Network Analytics to Unveil Links of Learning Strategies, Time Management, and Academic Performance in a Flipped Classroom.

Mladen Rakovic, Nora'ayu Ahmad Uzir, Wannisa Matcha, Brendan R. Eagan, Jelena Jovanovic, David Williamson Shaffer, Abelardo Pardo, Dragan Gasevic

J. Learn. Anal., 2023

2022

Mediating and perspective-taking manipulatives: Fostering dynamic perspective-taking by mediating dialogic thinking and bolstering empathy in role-play and reflection for microteaching.

Toshio Mochizuki, Hiroshi Sasaki, Takehiro Wakimoto, Yoshihiko Kubota, Brendan R. Eagan, Ryoya Hirayama, Yuta Yamaguchi, Natsumi Yuki, Hideo Funaoi, Hideyuki Suzuki, Hiroshi Kato

Int. J. Comput. Support. Collab. Learn., 2022

The Role of Data Simulation in Quantitative Ethnography.

Zachari Swiecki, Brendan R. Eagan

Proceedings of the Advances in Quantitative Ethnography - 4th International Conference, 2022

The Foundations and Fundamentals of Quantitative Ethnography.

Golnaz Arastoopour Irgens, Brendan R. Eagan

Proceedings of the Advances in Quantitative Ethnography - 4th International Conference, 2022

Does Active Learning Reduce Human Coding?: A Systematic Comparison of Neural Network with nCoder.

Jaeyoon Choi, Andrew R. Ruis, Zhiqiang Cai, Brendan R. Eagan, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - 4th International Conference, 2022

LSTM Neural Network Assisted Regex Development for Qualitative Coding.

Zhiqiang Cai, Brendan R. Eagan, Cody Marquart, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - 4th International Conference, 2022

2021

Modeling Educator Use of Virtual Reality Simulations in Nursing Education Using Epistemic Network Analysis.

Mamta Shah, Amanda Siebert-Evenstone, Brendan R. Eagan, Roxanne Holthaus

Proceedings of the 7th International Conference of the Immersive Learning Research Network, 2021

Methodology in the Mirror: A Living, Systematic Review of Works in Quantitative Ethnography.

Szilvia Zörgo, Gjalt-Jorn Ygram Peters, Clara Porter, Marcia Moraes, Savannah Donegan, Brendan R. Eagan

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

Quality and Safety Education for Nursing (QSEN) in Virtual Reality Simulations: A Quantitative Ethnographic Examination.

Mamta Shah, Amanda Siebert-Evenstone, Hollie Moots, Brendan R. Eagan

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

Zero Re-centered Projection: An Alternative Proposal for Modeling Empty Networks in ENA.

David Williamson Shaffer, Brendan R. Eagan, Mariah A. Knowles, Clara Porter, Zhiqiang Cai

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

Deliberation as an Epistemic Network: A Method for Analyzing Discussion.

Peter Levine, Brendan R. Eagan, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - Third International Conference, 2021

2020

Refining qualitative ethnographies using Epistemic Network Analysis: A study of socioemotional learning dimensions in a Humanistic Knowledge Building Community.

Yotam Hod, Shir Katz, Brendan R. Eagan

Comput. Educ., 2020

Testing the reliability of inter-rater reliability.

Brendan R. Eagan, Jais Brohinsky, Jingyi Wang, David Williamson Shaffer

Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

The Value of Epistemic Network Analysis in Single-Case Learning Analytics: A Case Study in Lifelong Learning.

Luis Pablo Prieto, María Jesús Rodríguez-Triana, Tobias Ley, Brendan R. Eagan

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

Directed Epistemic Network Analysis.

Ariel Fogel, Zachari Swiecki, Cody Marquart, Zhiqiang Cai, Yeyu Wang, Jais Brohinsky, Amanda Siebert-Evenstone, Brendan R. Eagan, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

Using Topic Modeling for Code Discovery in Large Scale Text Data.

Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

The Mathematical Foundations of Epistemic Network Analysis.

Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - Second International Conference, 2020

2019

SENS: Network analytics to combine social and cognitive perspectives of collaborative learning.

Dragan Gasevic, Srecko Joksimovic, Brendan R. Eagan, David Williamson Shaffer

Comput. Hum. Behav., 2019

Student Teachers' Discourse During Puppetry-Based Microteaching.

Takehiro Wakimoto, Hiroshi Sasaki, Ryoya Hirayama, Toshio Mochizuki, Brendan R. Eagan, Natsumi Yuuki, Hideo Funaoi, Yoshihiko Kubota, Hideyuki Suzuki, Hiroshi Kato

Proceedings of the Advances in Quantitative Ethnography - First International Conference, 2019

Effects of Perspective-Taking Through Tangible Puppetry in Microteaching and Reflection on the Role-Play with 3D Animation.

Toshio Mochizuki, Hiroshi Sasaki, Yuta Yamaguchi, Ryoya Hirayama, Yoshihiko Kubota, Brendan R. Eagan, Takehiro Wakimoto, Natsumi Yuuki, Hideo Funaoi, Hideyuki Suzuki, Hiroshi Kato

Proceedings of the Advances in Quantitative Ethnography - First International Conference, 2019

nCoder+: A Semantic Tool for Improving Recall of nCoder Coding.

Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer, Xiangen Hu, Arthur C. Graesser

Proceedings of the Advances in Quantitative Ethnography - First International Conference, 2019

Finding Common Ground: A Method for Measuring Recent Temporal Context in Analyses of Complex, Collaborative Thinking.

Andrew R. Ruis, Amanda Siebert-Evenstone, Rebecca Pozen, Brendan R. Eagan, David W. Shaffer

Proceedings of the 13th International Conference on Computer Supported Collaborative Learning, 2019

An Initial Look at the Developing Culture of Online Global Meet-ups in Establishing a Collaborative, STEM Media-Making Community.

Danielle P. Espino, Seung B. Lee, Brendan R. Eagan, Eric Hamilton

Proceedings of the 13th International Conference on Computer Supported Collaborative Learning, 2019

The Binary Replicate Test: Determining the Sensitivity of CSCL Models to Coding Error.

Brendan R. Eagan, Zachari Swiecki, Cayley Farrell, David W. Shaffer

Proceedings of the 13th International Conference on Computer Supported Collaborative Learning, 2019

2018

When coding-and-counting is not enough: using epistemic network analysis (ENA) to analyze verbal data in CSCL research.

Andras Csanadi, Brendan R. Eagan, Ingo Kollar, David Williamson Shaffer, Frank Fischer

Int. J. Comput. Support. Collab. Learn., 2018

How Do US Teachers Align Instructional Resources to The Common Core State Standards: A Case of Pinterest.

Sihua Hu, Kaitlin T. Torphy, Zixi Chen, Brendan R. Eagan

Proceedings of the 9th International Conference on Social Media and Society, 2018

Epistemic network analysis of students' longer written assignments as formative/summative evaluation.

Simon Skov Fougt, Amanda Siebert-Evenstone, Brendan R. Eagan, Sara Tabatabai, Morten Misfeldt

Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

A Method for Determining the Extent of Recent Temporal Context in Analyses of Complex, Collaborative Thinking.

Andrew R. Ruis, Amanda Siebert-Evenstone, Rebecca Pozen, Brendan R. Eagan, David Williamson Shaffer

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

2017

Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment.

Zhiqiang Cai, Brendan R. Eagan, Nia Dowell, James W. Pennebaker, Arthur C. Graesser, David W. Shaffer

Proceedings of the 10th International Conference on Educational Data Mining, 2017

Can We Rely on IRR? Testing the Assumptions of Inter-Rater Reliability.

Brendan R. Eagan, Bradley Rogers, Ronald C. Serlin, Andrew R. Ruis, Golnaz Arastoopour Irgens, David Williamson Shaffer

Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017

Collaborative and Individual Scientific Reasoning of Pre-Service Teachers: New Insights Through Epistemic Network Analysis (ENA).

Andras Csanadi, Brendan R. Eagan, David W. Shaffer, Ingo Kollar, Frank Fischer

Proceedings of the 12th International Conference on Computer Supported Collaborative Learning, 2017

2010

Adapting workflow technology to design-based research: development of a method for organizing the "messiness" of research in technology-rich online learning environments.

Alan J. Hackbarth, Sharon J. Derry, Brendan R. Eagan, Julia Gressick

Proceedings of the Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences, 2010