Andrew R. Ruis

According to our database, Andrew R. Ruis authored at least 30 papers between 2016 and 2025.

Collaborative distances:

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

2025

Transmodal Analysis.

David Williamson Shaffer, Yeyu Wang, Andrew R. Ruis

J. Learn. Anal., 2025

2024

iPlan: A Platform for Constructing Localized, Reduced-Form Models of Land-Use Impacts.

Andrew R. Ruis, Carol Barford, Jais Brohinsky, Yuanru Tan, Matthew Bougie, Zhiqiang Cai, Tyler J. Lark, David Williamson Shaffer

Multimodal Technol. Interact., 2024

2023

Qualitative Parameter Triangulation: A Formulated Approach to Parameterize Multimodal Models.

Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the 6th Workshop on Leveraging Multimodal Data for Generating Meaningful Feedback (CROSSMMLA 2023) at the 13th International Learning Analytics & Knowledge (LAK 2023), 2023

Thin Data, Thick Description: Modeling Socio-Environmental Problem-Solving Trajectories in Localized Land-Use Simulations.

Andrew R. Ruis, Yuanru Tan, Jais Brohinsky, Binrui Yang, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer

Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

2022

Modeling Collaborative Discourse with ENA Using a Probabilistic Function.

Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer

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

Ordered Network Analysis.

Yuanru Tan, Andrew R. Ruis, Cody Marquart, Zhiqiang Cai, Mariah A. Knowles, David Williamson Shaffer

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

Is QE Just ENA?

David Williamson Shaffer, Andrew R. Ruis

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

Quantitative Ethnography of Policy Ecosystems: A Case Study on Climate Change Adaptation Planning.

Andrew R. Ruis

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

2021

Epistemic Network Analysis Visualization.

Yuanru Tan, Cesar Hinojosa, Cody Marquart, Andrew R. Ruis, David Williamson Shaffer

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

2020

Assessing individual contributions to Collaborative Problem Solving: A network analysis approach.

Zachari Swiecki, Andrew R. Ruis, Cayley Farrell, David Williamson Shaffer

Comput. Hum. Behav., 2020

Exploring the Effects of Segmentation on Semi-structured Interview Data with Epistemic Network Analysis.

Szilvia Zörgo, Zachari Swiecki, Andrew R. Ruis

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

Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment.

Yeyu Wang, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer

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

How We Code.

David Williamson Shaffer, Andrew R. Ruis

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

Trajectories in Epistemic Network Analysis.

Jais Brohinsky, Cody Marquart, Junting Wang, Andrew R. Ruis, David Williamson Shaffer

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

2019

Analysing computational thinking in collaborative programming: A quantitative ethnography approach.

Bian Wu, Yiling Hu, Andrew R. Ruis, Minhong Wang

J. Comput. Assist. Learn., 2019

Understanding when students are active-in-thinking through modeling-in-context.

Zachari Swiecki, Andrew R. Ruis, Dipesh Gautam, Vasile Rus, David Williamson Shaffer

Br. J. Educ. Technol., 2019

Designing an Interface for Sharing Quantitative Ethnographic Research Data.

Zachari Swiecki, Cody Marquart, Arjun Sachar, Cesar Hinojosa, Andrew R. Ruis, David Williamson Shaffer

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

Multiple Uses for Procedural Simulators in Continuing Medical Education Contexts.

Andrew R. Ruis, Alexandra A. Rosser, Jay N. Nathwani, Megan V. Beems, Sarah A. Jung, Carla M. Pugh

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

Does Order Matter? Investigating Sequential and Cotemporal Models of Collaboration.

Zachari Swiecki, Zheming Lian, Andrew R. Ruis, David W. Shaffer

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

Reading for Breadth, Reading for Depth: Understanding the Relationship Between Reading and Complex Thinking Using Epistemic Network Analysis.

Hanall Sung, Shengyang Cao, Andrew R. Ruis, David W. Shaffer

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

2018

A network analytic approach to gaze coordination during a collaborative task.

Sean Andrist, Andrew R. Ruis, David Williamson Shaffer

Comput. Hum. Behav., 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

Automating the Detection of Reflection-on-Action.

Jenny Saucerman, Andrew R. Ruis, David Williamson Shaffer

J. Learn. Anal., July, 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

2016

A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data.

David Williamson Shaffer, Wesley Collier, Andrew R. Ruis

J. Learn. Anal., December, 2016

In Search of Conversational Grain Size: Modeling Semantic Structure Using Moving Stanza Windows.

Amanda Siebert-Evenstone, Golnaz Arastoopour, Wesley Collier, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the Transforming Learning, 2016

Local Versus Global Connection Making in Discourse.

Wesley Collier, Andrew R. Ruis, David Williamson Shaffer

Proceedings of the Transforming Learning, 2016