Zach Swiecki

According to our database, Zach Swiecki authored at least 42 papers between 2016 and 2024.

Collaborative distances:

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

2024

Evidence-based multimodal learning analytics for feedback and reflection in collaborative learning.

Lixiang Yan, Vanessa Echeverría, Yueqiao Jin, Gloria Fernández-Nieto, Linxuan Zhao, Xinyu Li, Riordan Alfredo, Zachari Swiecki, Dragan Gasevic, Roberto Martínez-Maldonado

Br. J. Educ. Technol., September, 2024

Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics.

Linxuan Zhao, Dragan Gasevic, Zachari Swiecki, Yuheng Li, Jionghao Lin, Lele Sha, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado

Br. J. Educ. Technol., July, 2024

Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing.

Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Rakovic, Zachari Swiecki, Dragan Gasevic, Guanliang Chen

CoRR, 2024

Human-centred learning analytics and AI in education: A systematic literature review.

Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Lixiang Yan, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado

Comput. Educ. Artif. Intell., 2024

Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning.

Linxuan Zhao, Vanessa Echeverría, Zachari Swiecki, Lixiang Yan, Riordan Alfredo, Xinyu Li, Dragan Gasevic, Roberto Martínez Maldonado

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning.

Mladen Rakovic, Yuheng Li, Navid Mohammadi Foumani, Mahsa Salehi, Levin Kuhlmann, Geoffrey Mackellar, Roberto Martínez Maldonado, Gholamreza Haffari, Zachari Swiecki, Xinyu Li, Guanliang Chen, Dragan Gasevic

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language.

Zhiping Liang, Zijie Zeng, Gloria Fernández-Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Zachari Swiecki, Dragan Gasevic, John Bradley, Lele Sha

Proceedings of the Joint Proceedings of LAK 2024 Workshops co-located with 14th International Conference on Learning Analytics and Knowledge (LAK 2024), 2024

Automated Discourse Analysis via Generative Artificial Intelligence.

Ryan Garg, Jaeyoung Han, Yixin Cheng, Zheng Fang, Zachari Swiecki

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes.

Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Evidence-centered Assessment for Writing with Generative AI.

Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

SLADE: A Method for Designing Human-Centred Learning Analytics Systems.

Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado

Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations.

Lixiang Yan, Vanessa Echeverría, Gloria Milena Fernández Nieto, Yueqiao Jin, Zachari Swiecki, Linxuan Zhao, Dragan Gasevic, Roberto Martínez Maldonado

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping.

Ying Yang, Tim Dwyer, Zachari Swiecki, Benjamin Lee, Michael Wybrow, Maxime Cordeil, Teresa Wulandari, Bruce H. Thomas, Mark Billinghurst

Proceedings of the Augmented Humans International Conference 2024, 2024

Co-designing a knowledge management tool for educator communities of practice.

Gloria Milena Fernández Nieto, Zachari Swiecki, Yi-Shan Tsai, Lele Sha, Yinwei Wei, Jim Wen, Yuheng Li, Yueqiao Jin, Iván Silva Feraud, Yuan-Fang Li, Weiqing Wang, Guanliang Chen, Dragan Gasevic

Proceedings of the Designing Interactive Systems Conference, 2024

2023

METS: Multimodal Learning Analytics of Embodied Teamwork Learning.

Linxuan Zhao, Zachari Swiecki, Dragan Gasevic, Lixiang Yan, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Xinyu Li, Riordan Alfredo, Roberto Martínez Maldonado

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers.

Riordan Dervin Alfredo, Lanbing Nie, Paul J. Kennedy, Tamara Power, Carolyn Hayes, Hui Chen, Carolyn McGregor, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado

Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Characterising Individual-Level Collaborative Learning Behaviours Using Ordered Network Analysis and Wearable Sensors.

Lixiang Yan, Yuanru Tan, Zachari Swiecki, Dragan Gasevic, David Williamson Shaffer, Linxuan Zhao, Xinyu Li, Roberto Martínez Maldonado

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

Do Learners Appreciate Adaptivity? An Epistemic Network Analysis of How Learners Perceive Adaptive Scaffolding.

Tongguang Li, Jionghao Lin, Sehrish Iqbal, Zachari Swiecki, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic

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

Automated Code Discovery via Graph Neural Networks and Generative AI.

Zheng Fang, Ying Yang, Zachari Swiecki

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

2022

Assessment in the age of artificial intelligence.

Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic

Comput. Educ. Artif. Intell., 2022

Uncovering Associations Between Cognitive Presence and Speech Acts: A Network-Based Approach.

Sehrish Iqbal, Zachari Swiecki, Srecko Joksimovic, Rafael Ferreira Mello, Naif R. Aljohani, Saeed-Ul Hassan, Dragan Gasevic

Proceedings of the LAK 2022: 12th International Learning Analytics and Knowledge Conference, Online Event, USA, March 21, 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

Popularity Prediction in MOOCs: A Case Study on Udemy.

Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021

Measuring the Impact of Interdependence on Individuals During Collaborative Problem-Solving.

Zachari Swiecki

J. Learn. Anal., April, 2021

What Do You Mean by Collaboration Analytics? A Conceptual Model.

Roberto Martínez Maldonado, Dragan Gasevic, Vanessa Echeverría, Gloria Fernández-Nieto, Zachari Swiecki, Simon Buckingham Shum

J. Learn. Anal., April, 2021

The Expected Value Test: A New Statistical Warrant for Theoretical Saturation.

Zachari Swiecki

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

iSENS: an integrated approach to combining epistemic and social network analyses.

Zachari Swiecki, David Williamson Shaffer

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

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

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

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

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

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

Supporting teachers' intervention in students' virtual collaboration using a network based model.

Tiffany Herder, Zachari Swiecki, Simon Skov Fougt, Andreas Lindenskov Tamborg, Benjamin Brink Allsopp, David Williamson Shaffer, Morten Misfeldt

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

Virtual Learning Environments for Promoting Self Transformation: Iterative Design and Implementation of Philadelphia Land Science.

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

Proceedings of the Immersive Learning Research Network - 4th International Conference, 2018

Toward a Taxonomy of Team Performance Visualization Tools.

Zachari Swiecki, David W. Shaffer

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

2017

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

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

J. Learn. Anal., December, 2017

Modeling Classifiers for Virtual Internships Without Participant Data.

Dipesh Gautam, Zachari Swiecki, David W. Shaffer, Vasile Rus, Arthur C. Graesser

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

2016

Assessing Student-Generated Design Justifications in Virtual Engineering Internships.

Vasile Rus, Dipesh Gautam, Zach Swiecki, David W. Shaffer, Art Graesser

Proceedings of the 9th International Conference on Educational Data Mining, 2016