David Williamson Shaffer

97 papers A* 1A 9B 1C 1Journal 26Unranked 58

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Community of inquiry in motion: Modeling inquiry dynamics with movement analysis (MOVA). Comput. Educ. Shen Ba, Zachari Swiecki, Yuanru Tan, Guoqing Lu, David Williamson Shaffer, Dragan Gasevic
2026	A	`conf`	Expanding Design Heuristics for Supporting Impasse-Driven Learning in a Puzzle Video Game Using a Problem-Solving Framework and Multimodal Network Models. LAK Zack Carpenter, Yeyu Wang, David DeLiema, Panayiota Kendeou, Matthew L. Bernacki, David Williamson Shaffer
2026	J	`jnl`	Temporal Network Analysis of Collaborative Prototyping from a Knowledge Creation Perspective. J. Learn. Anal. Ayano Ohsaki, Yuanru Tan, Brendan R. Eagan, David Williamson Shaffer, Zachari Swiecki
2025	J	`jnl`	Examining the Interplay of Gaze and Verbal Interactions in Socially Shared Regulation of Learning: A Transmodal Analysis (TMA) Study. J. Learn. Anal. Andy Nguyen, Yeyu Wang, Ridwan Whitehead, Muhammad Ashiq, Sanna Järvelä, David Williamson Shaffer
2025	A	`conf`	Exploring students' epistemic orientation, learning trajectories, and outcomes. LAK Pakon Ko, Cong Liu, Nancy Law, Yuanru Tan, David Williamson Shaffer
2025	—	`conf`	Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation. CSCW Companion Xiaoshan Huang, Tianlong Zhong, Haolun Wu, Yeyu Wang, Ethan Churchill, Xue Liu, David Williamson Shaffer
2025	J	`jnl`	Linking Facial Recognition of Emotions and Socially Shared Regulation in Medical Simulation. CoRR Xiaoshan Huang, Tianlong Zhong, Haolun Wu, Yeyu Wang, Ethan Churchill, Xue Liu, David Williamson Shaffer
2025	A	`conf`	Qualitative Parameter Triangulation: A Conceptual and Methodological Framework for Event-Based Temporal Models. LAK Yeyu Wang, Zack Carpenter, Zachari Swiecki, David Williamson Shaffer
2025	J	`jnl`	Transmodal Analysis. J. Learn. Anal. David Williamson Shaffer, Yeyu Wang, Andrew R. Ruis
2024	A	`conf`	Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. LAK Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven
2024	J	`jnl`	Unveiling joint attention dynamics: Examining multimodal engagement in an immersive collaborative astronomy simulation. Comput. Educ. Jina Kang, Yiqiu Zhou, Robin Jephthah Rajarathinam, Yuanru Tan, David Williamson Shaffer
2024	J	`jnl`	iPlan: A Platform for Constructing Localized, Reduced-Form Models of Land-Use Impacts. Multimodal Technol. Interact. Andrew R. Ruis, Carol Barford, Jais Brohinsky, Yuanru Tan, Matthew Bougie, Zhiqiang Cai, Tyler J. Lark, David Williamson Shaffer
2023	—	`conf`	A Lightweight Interactive Regular Expression Generator for Qualitative Coding in Quantitative Ethnography. ICQE Zhiqiang Cai, Cody Marquart, Brendan R. Eagan, Yaxuan Xiao, David Williamson Shaffer
2023	A	`conf`	Analysing Verbal Communication in Embodied Team Learning Using Multimodal Data and Ordered Network Analysis. AIED Linxuan Zhao, Yuanru Tan, Dragan Gasevic, David Williamson Shaffer, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado
2023	—	`conf`	Characterising Individual-Level Collaborative Learning Behaviours Using Ordered Network Analysis and Wearable Sensors. ICQE Lixiang Yan, Yuanru Tan, Zachari Swiecki, Dragan Gasevic, David Williamson Shaffer, Linxuan Zhao, Xinyu Li, Roberto Martínez Maldonado
2023	—	`conf`	Developing Nursing Students' Practice Readiness with Shadow Health® Digital Clinical Experiences ICQE Yeyu Wang, Mamta Shah, Francisco A. Jimenez, Cheryl Wilson, Muhammad Ashiq, Brendan R. Eagan, David Williamson Shaffer
2023	J	`jnl`	Dissecting learning tactics in MOOC using ordered network analysis. J. Comput. Assist. Learn. Yizhou Fan, Yuanru Tan, Mladen Rakovic, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer, Dragan Gasevic
2023	—	`conf`	Negative Reversion: Toward Intelligent Co-raters for Coding Qualitative Data in Quantitative Ethnography. ICQE Zhiqiang Cai, Brendan R. Eagan, David Williamson Shaffer
2023	J	`jnl`	Network Analytics to Unveil Links of Learning Strategies, Time Management, and Academic Performance in a Flipped Classroom. J. Learn. Anal. Mladen Rakovic, Nora'ayu Ahmad Uzir, Wannisa Matcha, Brendan R. Eagan, Jelena Jovanovic, David Williamson Shaffer, Abelardo Pardo, Dragan Gasevic
2023	—	`conf`	Qualitative Parameter Triangulation: A Formulated Approach to Parameterize Multimodal Models. CrossMMLA@LAK Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer
2023	J	`jnl`	Revealing Networks: Understanding Effective Teacher Practices in AI-Supported Classrooms using Transmodal Ordered Network Analysis. CoRR Conrad Borchers, Yeyu Wang, Shamya Karumbaiah, Muhammad Ashiq, David Williamson Shaffer, Vincent Aleven
2023	—	`conf`	Thin Data, Thick Description: Modeling Socio-Environmental Problem-Solving Trajectories in Localized Land-Use Simulations. ICQE Andrew R. Ruis, Yuanru Tan, Jais Brohinsky, Binrui Yang, Yeyu Wang, Zhiqiang Cai, David Williamson Shaffer
2022	—	`conf`	Does Active Learning Reduce Human Coding?: A Systematic Comparison of Neural Network with nCoder. ICQE Jaeyoon Choi, Andrew R. Ruis, Zhiqiang Cai, Brendan R. Eagan, David Williamson Shaffer
2022	—	`conf`	Is QE Just ENA? ICQE David Williamson Shaffer, Andrew R. Ruis
2022	—	`conf`	LSTM Neural Network Assisted Regex Development for Qualitative Coding. ICQE Zhiqiang Cai, Brendan R. Eagan, Cody Marquart, David Williamson Shaffer
2022	—	`conf`	Modeling Collaborative Discourse with ENA Using a Probabilistic Function. ICQE Yeyu Wang, Andrew R. Ruis, David Williamson Shaffer
2022	—	`conf`	Multiclass Rotations in Epistemic Network Analysis. ICQE Mariah A. Knowles, Amanda Barany, Zhiqiang Cai, David Williamson Shaffer
2022	—	`conf`	Ordered Network Analysis. ICQE Yuanru Tan, Andrew R. Ruis, Cody Marquart, Zhiqiang Cai, Mariah A. Knowles, David Williamson Shaffer
2022	J	`jnl`	Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond. Comput. Hum. Behav. Dragan Gasevic, Samuel Greiff, David Williamson Shaffer
2021	—	`conf`	Deliberation as an Epistemic Network: A Method for Analyzing Discussion. ICQE Peter Levine, Brendan R. Eagan, David Williamson Shaffer
2021	—	`conf`	Epistemic Network Analysis Visualization. ICQE Yuanru Tan, Cesar Hinojosa, Cody Marquart, Andrew R. Ruis, David Williamson Shaffer
2021	—	`conf`	Zero Re-centered Projection: An Alternative Proposal for Modeling Empty Networks in ENA. ICQE David Williamson Shaffer, Brendan R. Eagan, Mariah A. Knowles, Clara Porter, Zhiqiang Cai
2020	J	`jnl`	Assessing individual contributions to Collaborative Problem Solving: A network analysis approach. Comput. Hum. Behav. Zachari Swiecki, Andrew R. Ruis, Cayley Farrell, David Williamson Shaffer
2020	A*	`conf`	Collaborative or Simply Uncaged? Understanding Human-Cobot Interactions in Automation. CHI Joseph E. Michaelis, Amanda Siebert-Evenstone, David Williamson Shaffer, Bilge Mutlu
2020	—	`conf`	Directed Epistemic Network Analysis. ICQE Ariel Fogel, Zachari Swiecki, Cody Marquart, Zhiqiang Cai, Yeyu Wang, Jais Brohinsky, Amanda Siebert-Evenstone, Brendan R. Eagan, Andrew R. Ruis, David Williamson Shaffer
2020	—	`conf`	How We Code. ICQE David Williamson Shaffer, Andrew R. Ruis
2020	—	`conf`	Incorporating Sentiment Analysis with Epistemic Network Analysis to Enhance Discourse Analysis of Twitter Data. ICQE Kamila Misiejuk, Jennifer Scianna, Rogers Kaliisa, Karl Vachuska, David Williamson Shaffer
2020	—	`conf`	Pre-Service Teachers' Diagnostic Argumentation: What is the Role of Conceptual Knowledge and Cross-Domain Epistemic Activities? ICLS Elisabeth Bauer, Michael Sailer, Jan Kiesewetter, David Williamson Shaffer, Claudia Schulz, Jonas Pfeiffer, Iryna Gurevych, Martin R. Fischer, Frank Fischer
2020	—	`conf`	Professional Decision Making: Reframing Teachers' Work Using Epistemic Frame Theory. ICQE Michael Phillips, Amanda Siebert-Evenstone, Aaron Kessler, Dragan Gasevic, David Williamson Shaffer
2020	—	`conf`	Safety First: Developing a Model of Expertise in Collaborative Robotics. ICQE Amanda Siebert-Evenstone, Joseph E. Michaelis, David Williamson Shaffer, Bilge Mutlu
2020	—	`conf`	Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment. ICQE Yeyu Wang, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer
2020	A	`conf`	Testing the reliability of inter-rater reliability. LAK Brendan R. Eagan, Jais Brohinsky, Jingyi Wang, David Williamson Shaffer
2020	—	`conf`	The Mathematical Foundations of Epistemic Network Analysis. ICQE Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer
2020	—	`conf`	Trajectories in Epistemic Network Analysis. ICQE Jais Brohinsky, Cody Marquart, Junting Wang, Andrew R. Ruis, David Williamson Shaffer
2020	—	`conf`	Using Topic Modeling for Code Discovery in Large Scale Text Data. ICQE Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer
2020	A	`conf`	iSENS: an integrated approach to combining epistemic and social network analyses. LAK Zachari Swiecki, David Williamson Shaffer
2019	—	`conf`	Cause and Because: Using Epistemic Network Analysis to Model Causality in the Next Generation Science Standards. ICQE Amanda Siebert-Evenstone, David Williamson Shaffer
2019	—	`conf`	Designing an Interface for Sharing Quantitative Ethnographic Research Data. ICQE Zachari Swiecki, Cody Marquart, Arjun Sachar, Cesar Hinojosa, Andrew R. Ruis, David Williamson Shaffer
2019	J	`jnl`	SENS: Network analytics to combine social and cognitive perspectives of collaborative learning. Comput. Hum. Behav. Dragan Gasevic, Srecko Joksimovic, Brendan R. Eagan, David Williamson Shaffer
2019	J	`jnl`	Understanding when students are active-in-thinking through modeling-in-context. Br. J. Educ. Technol. Zachari Swiecki, Andrew R. Ruis, Dipesh Gautam, Vasile Rus, David Williamson Shaffer
2019	—	`conf`	nCoder+: A Semantic Tool for Improving Recall of nCoder Coding. ICQE Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer, Xiangen Hu, Arthur C. Graesser
2018	—	`conf`	A Method for Determining the Extent of Recent Temporal Context in Analyses of Complex, Collaborative Thinking. ICLS Andrew R. Ruis, Amanda Siebert-Evenstone, Rebecca Pozen, Brendan R. Eagan, David Williamson Shaffer
2018	J	`jnl`	A network analytic approach to gaze coordination during a collaborative task. Comput. Hum. Behav. Sean Andrist, Andrew R. Ruis, David Williamson Shaffer
2018	A	`conf`	Supporting teachers' intervention in students' virtual collaboration using a network based model. LAK Tiffany Herder, Zachari Swiecki, Simon Skov Fougt, Andreas Lindenskov Tamborg, Benjamin Brink Allsopp, David Williamson Shaffer, Morten Misfeldt
2018	C	`conf`	Virtual Learning Environments for Promoting Self Transformation: Iterative Design and Implementation of Philadelphia Land Science. iLRN Aroutis Foster, Mamta Shah, Amanda Barany, Mark Eugene Petrovich Jr., Jessica Cellitti, Migela Duka, Zachari Swiecki, Amanda Siebert-Evenstone, Hannah Kinley, Peter Quigley, David Williamson Shaffer
2018	J	`jnl`	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. Andras Csanadi, Brendan R. Eagan, Ingo Kollar, David Williamson Shaffer, Frank Fischer
2017	J	`jnl`	Automating the Detection of Reflection-on-Action. J. Learn. Anal. Jenny Saucerman, Andrew R. Ruis, David Williamson Shaffer
2017	—	`conf`	Can We Rely on IRR? Testing the Assumptions of Inter-Rater Reliability. CSCL Brendan R. Eagan, Bradley Rogers, Ronald C. Serlin, Andrew R. Ruis, Golnaz Arastoopour Irgens, David Williamson Shaffer
2017	J	`jnl`	Data-enabled cognitive modeling: Validating student engineers' fuzzy design-based decision-making in a virtual design problem. Comput. Appl. Eng. Educ. Golnaz Arastoopour Irgens, Naomi C. Chesler, Jeffrey T. Linderoth, David Williamson Shaffer
2017	J	`jnl`	Gaining Insight by Transforming Between Temporal Representations of Human Interaction. J. Learn. Anal. Kristine Lund, Matthieu Quignard, David Williamson Shaffer
2017	J	`jnl`	In Search of Conversational Grain Size: Modeling Semantic Structure using Moving Stanza Windows. J. Learn. Anal. Amanda Lee Siebert-Evenstone, Golnaz Arastoopour Irgens, Wesley Collier, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer
2016	J	`jnl`	A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data. J. Learn. Anal. David Williamson Shaffer, Wesley Collier, Andrew R. Ruis
2016	—	`conf`	In Search of Conversational Grain Size: Modeling Semantic Structure Using Moving Stanza Windows. ICLS Amanda Siebert-Evenstone, Golnaz Arastoopour, Wesley Collier, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer
2016	—	`conf`	Local Versus Global Connection Making in Discourse. ICLS Wesley Collier, Andrew R. Ruis, David Williamson Shaffer
2015	—	`conf`	Epistemography and Professional CSCL Environment Design. CSCL Golnaz Arastoopour, David Williamson Shaffer
2015	J	`jnl`	Stop talking and type: comparing virtual and face-to-face mentoring in an epistemic game. J. Comput. Assist. Learn. Elizabeth Bagley, David Williamson Shaffer
2015	J	`jnl`	Why Theory Matters More than Ever in the Age of Big Data. J. Learn. Anal. Alyssa Friend Wise, David Williamson Shaffer
2014	—	`conf`	Analytics for Learning and Becoming in Practice. ICLS Golnaz Arastoopour, Simon Buckingham Shum, Wesley Collier, Paul A. Kirschner, Simon Knight, David Williamson Shaffer, Alyssa Friend Wise
2014	—	`conf`	Epistemic Networks for Epistemic Commitments. ICLS Simon Knight, Golnaz Arastoopour, David Williamson Shaffer, Simon Buckingham Shum, Karen Littleton
2014	B	`conf`	Question Asking During Collaborative Problem Solving in an Online Game Environment. Intelligent Tutoring Systems Haiying Li, Ying Duan, Danielle N. Clewley, Brent Morgan, Arthur C. Graesser, David Williamson Shaffer, Jenny Saucerman
2013	—	`conf`	A Simulation-Based Approach for Increasing Women in Engineering. CSCL (2) Golnaz Arastoopour, Naomi C. Chesler, David Williamson Shaffer
2013	A	`conf`	AutoMentor: Artificial Intelligent Mentor in Educational Game. AIED Jin Wang, Haiying Li, Zhiqiang Cai, Fazel Keshtkar, Arthur C. Graesser, David Williamson Shaffer
2013	—	`conf`	Automating the Mentor in a Serious Game: A Discourse Analysis Using Finite State Machines. HCI (29) Brent Morgan, Fazel Keshtkar, Arthur C. Graesser, David Williamson Shaffer
2013	—	`conf`	Epistemic Trajectories: Mentoring in a Game Design Practicum. CSCL (1) Padraig Nash, David Williamson Shaffer
2013	—	`conf`	Measuring Collaborative Thinking Using Epistemic Network Analysis. CSCL (2) David Williamson Shaffer, Chandra Hawley Orrill, Golnaz Arastoopour
2013	—	`conf`	Measuring Social Identity Development in Epistemic Games. CSCL (1) Golnaz Arastoopour Irgens, David Williamson Shaffer
2012	—	`conf`	Epistemic Mentoring in Virtual and Face-to-Face Environments. ICLS Elizabeth Bagley, David Williamson Shaffer
2012	—	`conf`	Exploring Connectedness: Applying ENA to Teacher Knowledge. ICLS Chandra Hawley Orrill, David Williamson Shaffer
2011	—	`conf`	Collaborating in a Virtual Engineering Internship. CSCL Cynthia D'Angelo, Golnaz Arastoopour, Naomi C. Chesler, David Williamson Shaffer
2011	J	`jnl`	Mentor modeling: the internalization of modeled professional thinking in an epistemic game. J. Comput. Assist. Learn. Padraig Nash, David Williamson Shaffer
2010	—	`conf`	Mentor modeling: the internalization of modeled professional thinking in an epistemic game. ICLS (1) Padraig Nash, David Williamson Shaffer
2010	—	`conf`	The epistemography of journalism 335: complexity in developing journalistic expertise. ICLS (1) David Hatfield, David Williamson Shaffer
2010	—	`conf`	The epistemography of urban and regional planning 912: appropriation in the face of resistance. ICLS (1) Elizabeth Bagley, David Williamson Shaffer
2009	J	`jnl`	When People Get in the Way: Promoting Civic Thinking Through Epistemic Gameplay. Int. J. Gaming Comput. Mediat. Simulations Elizabeth Bagley, David Williamson Shaffer
2008	—	`conf`	Reflection in professional play. ICLS (3) David Hatfield, David Williamson Shaffer, Elizabeth Bagley, Aran Nulty, Padraig Nash
2007	—	`ed.`	DIGITEL 2007, The First IEEE International Workshop on Digital Game and Intelligent Toy Enhanced Learning, Proceedings, 26-28 March 2007, Jhongli, Taiwan DIGITEL Tak-Wai Chan, Ana Paiva, David Williamson Shaffer, Kinshuk, Jie-Chi Yang
2006	—	`conf`	Berta's Tower: Developing Conceptual Physics Understanding One Exploratoid at a Time. ICLS Gina Navoa Svarovsky, David Williamson Shaffer
2006	—	`conf`	Engineering Girls Gone Wild: Developing an Engineering Identity in Digital Zoo. ICLS Gina Navoa Svarovsky, David Williamson Shaffer
2006	—	`conf`	Press Play: Designing an Epistemic Game Engine for Journalism. ICLS David Hatfield, David Williamson Shaffer
2006	—	`conf`	The Pasteurization of Education. ICLS David Williamson Shaffer, Kurt Squire
2006	—	`conf`	Theorizing Games in/and Education. ICLS Richard Halverson, David Williamson Shaffer, Kurt Squire, Constance Steinkuehler
2005	—	`conf`	Why CSCL David Williamson Shaffer, Katherine A. Clinton
2004	—	`conf`	Berta's Tower: Understanding Physics Through Virtual Engineering. ICLS Gina Navoa Svarovsky, David Williamson Shaffer
2004	—	`conf`	Epistemic Frames and Islands of Expertise: Learning from Infusion Experiences. ICLS David Williamson Shaffer
2004	J	`jnl`	Learning, Testing, and the Evaluation of Learning Environments in Medicine: Global Performance Assessment in Medical Education. Interact. Learn. Environ. David Williamson Shaffer, James A. Gordon, Nancy L. Bennett
2004	—	`conf`	We Built This City: Developing Students' Understanding of Ecology Through the Professional Practice of Urban Planning. ICLS Kelly L. Beckett, David Williamson Shaffer
1997	—	`conf`	Design, collaboration, and computation: the design studio as a model for computer supported collaboration in mathematics. CSCL David Williamson Shaffer