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Andrew R. Ruis
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2020 – today
- 2024
- [j8]Andrew R. Ruis, Carol Barford, Jais Brohinsky, Yuanru Tan, Matthew Bougie, Zhiqiang Cai, Tyler J. Lark, David Williamson Shaffer:
iPlan: A Platform for Constructing Localized, Reduced-Form Models of Land-Use Impacts. Multimodal Technol. Interact. 8(4): 30 (2024) - 2023
- [c22]Andrew R. Ruis, Yuanru Tan, Jais Brohinsky, Binrui Yang, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer:
Thin Data, Thick Description: Modeling Socio-Environmental Problem-Solving Trajectories in Localized Land-Use Simulations. ICQE 2023: 349-364 - [c21]Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer:
Qualitative Parameter Triangulation: A Formulated Approach to Parameterize Multimodal Models. CrossMMLA@LAK 2023: 30-35 - 2022
- [c20]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 - [c19]David Williamson Shaffer, Andrew R. Ruis:
Is QE Just ENA? ICQE 2022: 71-86 - [c18]Yuanru Tan, Andrew R. Ruis, Cody Marquart, Zhiqiang Cai, Mariah A. Knowles, David Williamson Shaffer:
Ordered Network Analysis. ICQE 2022: 101-116 - [c17]Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer:
Modeling Collaborative Discourse with ENA Using a Probabilistic Function. ICQE 2022: 132-145 - [c16]Andrew R. Ruis:
Quantitative Ethnography of Policy Ecosystems: A Case Study on Climate Change Adaptation Planning. ICQE 2022: 414-428 - 2021
- [c15]Yuanru Tan, Cesar Hinojosa, Cody Marquart, Andrew R. Ruis, David Williamson Shaffer:
Epistemic Network Analysis Visualization. ICQE 2021: 129-143 - [e1]Andrew R. Ruis, Seung B. Lee:
Advances in Quantitative Ethnography - Second International Conference, ICQE 2020, Malibu, CA, USA, February 1-3, 2021, Proceedings. Communications in Computer and Information Science 1312, Springer 2021, ISBN 978-3-030-67787-9 [contents] - 2020
- [j7]Zachari Swiecki, Andrew R. Ruis, Cayley Farrell, David Williamson Shaffer:
Assessing individual contributions to Collaborative Problem Solving: A network analysis approach. Comput. Hum. Behav. 104: 105876 (2020) - [c14]David Williamson Shaffer, Andrew R. Ruis:
How We Code. ICQE 2020: 62-77 - [c13]Szilvia Zörgo, Zachari Swiecki, Andrew R. Ruis:
Exploring the Effects of Segmentation on Semi-structured Interview Data with Epistemic Network Analysis. ICQE 2020: 78-90 - [c12]Jais Brohinsky, Cody Marquart, Junting Wang, Andrew R. Ruis, David Williamson Shaffer:
Trajectories in Epistemic Network Analysis. ICQE 2020: 106-121 - [c11]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 - [c10]Yeyu Wang, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment. ICQE 2020: 137-151
2010 – 2019
- 2019
- [j6]Zachari Swiecki, Andrew R. Ruis, Dipesh Gautam, Vasile Rus, David Williamson Shaffer:
Understanding when students are active-in-thinking through modeling-in-context. Br. J. Educ. Technol. 50(5): 2346-2364 (2019) - [j5]Bian Wu, Yiling Hu, Andrew R. Ruis, Minhong Wang:
Analysing computational thinking in collaborative programming: A quantitative ethnography approach. J. Comput. Assist. Learn. 35(3): 421-434 (2019) - [c9]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 - [c8]Hanall Sung, Shengyang Cao, Andrew R. Ruis, David W. Shaffer:
Reading for Breadth, Reading for Depth: Understanding the Relationship Between Reading and Complex Thinking Using Epistemic Network Analysis. CSCL 2019 - [c7]Zachari Swiecki, Zheming Lian, Andrew R. Ruis, David W. Shaffer:
Does Order Matter? Investigating Sequential and Cotemporal Models of Collaboration. CSCL 2019 - [c6]Andrew R. Ruis, Alexandra A. Rosser, Jay N. Nathwani, Megan V. Beems, Sarah A. Jung, Carla M. Pugh:
Multiple Uses for Procedural Simulators in Continuing Medical Education Contexts. ICQE 2019: 211-222 - [c5]Zachari Swiecki, Cody Marquart, Arjun Sachar, Cesar Hinojosa, Andrew R. Ruis, David Williamson Shaffer:
Designing an Interface for Sharing Quantitative Ethnographic Research Data. ICQE 2019: 334-341 - 2018
- [j4]Sean Andrist, Andrew R. Ruis, David Williamson Shaffer:
A network analytic approach to gaze coordination during a collaborative task. Comput. Hum. Behav. 89: 339-348 (2018) - [c4]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 - 2017
- [j3]Jenny Saucerman, Andrew R. Ruis, David Williamson Shaffer:
Automating the Detection of Reflection-on-Action. J. Learn. Anal. 4(2) (2017) - [j2]Amanda Lee Siebert-Evenstone, Golnaz Arastoopour Irgens, Wesley Collier, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
In Search of Conversational Grain Size: Modeling Semantic Structure using Moving Stanza Windows. J. Learn. Anal. 4(3) (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 - 2016
- [j1]David Williamson Shaffer, Wesley Collier, Andrew R. Ruis:
A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data. J. Learn. Anal. 3(3): 9-45 (2016) - [c2]Wesley Collier, Andrew R. Ruis, David Williamson Shaffer:
Local Versus Global Connection Making in Discourse. ICLS 2016 - [c1]Amanda Siebert-Evenstone, Golnaz Arastoopour, Wesley Collier, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
In Search of Conversational Grain Size: Modeling Semantic Structure Using Moving Stanza Windows. ICLS 2016
Coauthor Index
aka: David W. Shaffer
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