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ORCIDICQE 2020: Malibu, CA, USA
- 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
Theory and Methodology
- Rogers Kaliisa, Kamila Misiejuk, Golnaz Arastoopour Irgens, Morten Misfeldt:
Scoping the Emerging Field of Quantitative Ethnography: Opportunities, Challenges and Future Directions. 3-17 - Zhiqiang Cai, Amanda Siebert-Evenstone, Brendan R. Eagan, David Williamson Shaffer:
Using Topic Modeling for Code Discovery in Large Scale Text Data. 18-31 - Eric Hamilton, Woodson Hobbs:
Epistemic Frames and Political Discourse Modeling. 32-46 - Ha Nguyen, June Ahn, Ashlee Belgrave, Jiwon Lee, Lora Cawelti, Ha Eun Kim, Yenda Prado, Rossella Santagata, Adriana Villavicencio:
Establishing Trustworthiness Through Algorithmic Approaches to Qualitative Research. 47-61 - David Williamson Shaffer, Andrew R. Ruis:
How We Code. 62-77 - Szilvia Zörgo, Zachari Swiecki, Andrew R. Ruis:
Exploring the Effects of Segmentation on Semi-structured Interview Data with Epistemic Network Analysis. 78-90 - Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer:
The Mathematical Foundations of Epistemic Network Analysis. 91-105 - Jais Brohinsky, Cody Marquart, Junting Wang, Andrew R. Ruis, David Williamson Shaffer:
Trajectories in Epistemic Network Analysis. 106-121 - 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. 122-136 - Yeyu Wang, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment. 137-151
Case Studies
- Amanda Barany, Mamta Shah, Aroutis Foster:
Connecting Curricular Design and Student Identity Change: An Epistemic Network Analysis. 155-169 - Ayano Ohsaki, Jun Oshima:
Socio-semantic Network Analysis of Knowledge-Creation Discourse on a Real-Time Scale. 170-184 - Luc Paquette, Theodore Grant, Yingbin Zhang, Gautam Biswas, Ryan Baker:
Using Epistemic Networks to Analyze Self-regulated Learning in an Open-Ended Problem-Solving Environment. 185-201 - 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. 202-217 - Jennifer Scianna, David J. Gagnon, Bryan Knowles:
Counting the Game: Visualizing Changes in Play by Incorporating Game Events. 218-231 - Mamta Shah, Amanda Barany, Amanda Siebert-Evenstone:
"What Would Happen if Humans Disappeared from Earth?" Tracing and Visualizing Change in a Pre-School Child's Domain-Related Curiosities. 232-247 - Wenting Zou, Zilong Pan, Chenglu Li, Min Liu:
Does Social Presence Play a Role in Learners' Positions in MOOC Learner Network? A Machine Learning Approach to Analyze Social Presence in Discussion Forums. 248-264 - Michael Phillips, Amanda Siebert-Evenstone, Aaron Kessler, Dragan Gasevic, David Williamson Shaffer:
Professional Decision Making: Reframing Teachers' Work Using Epistemic Frame Theory. 265-276 - Hazel Vega, Golnaz Arastoopour Irgens, Cinamon Bailey:
Negotiating Tensions: A Study of Pre-service English as Foreign Language Teachers' Sense of Identity Within Their Community of Practice. 277-291 - Marta Jackowska:
How Is Team Membership Change Manifested in Collective Interactions? - Using Epistemic Network Analysis to Explore the Challenges of Contemporary Team Composition. 292-303 - Amanda Siebert-Evenstone, Joseph E. Michaelis, David Williamson Shaffer, Bilge Mutlu:
Safety First: Developing a Model of Expertise in Collaborative Robotics. 304-318 - Shunpei Yamaguchi, Shusuke Ohtawa, Ritsuko Oshima, Jun Oshima, Takuya Fujihashi, Shunsuke Saruwatari, Takashi Watanabe:
Collaborative Learning Analysis Using Business Card-Type Sensors. 319-333 - Danielle P. Espino, Tiffany Wright, Victoria M. Brown, Zachariah Mbasu, Matthew Sweeney, Seung B. Lee:
Student Emotions in the Shift to Online Learning During the COVID-19 Pandemic. 334-347 - Karin S. Frey, Hannah A. Nguyen, Saejin Kwak-Tanguay, Kaleb Germinaro:
What Do Honor and Face Norms Have to Do with Peer Relations? Adolescents Make Sense of Revenge. 348-361 - Shamya Karumbaiah, Ryan S. Baker:
Studying Affect Dynamics Using Epistemic Networks. 362-374 - Kamila Misiejuk, Jennifer Scianna, Rogers Kaliisa, Karl Vachuska, David Williamson Shaffer:
Incorporating Sentiment Analysis with Epistemic Network Analysis to Enhance Discourse Analysis of Twitter Data. 375-389 - Sarah Larson, Vitaliy Popov, Azliza Mohd Ali, Parameswaran Ramanathan, Sarah A. Jung:
Healthcare Professionals' Perceptions of Telehealth: Analysis of Tweets from Pre- and During the COVID-19 Pandemic. 390-405 - Karoline Schnaider, Stefano Schiavetto, Florian Meier, Barbara Wasson, Benjamin Brink Allsopp, Daniel Spikol:
Governmental Response to the COVID-19 Pandemic - A Quantitative Ethnographic Comparison of Public Health Authorities' Communication in Denmark, Norway, and Sweden. 406-421
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