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Zach Swiecki

Zachari Swiecki

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affiliation: Monash University, Australia

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2020 – today

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2024
[j9]
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Linxuan Zhao, Dragan Gasevic, Zachari Swiecki, Yuheng Li, Jionghao Lin, Lele Sha, Lixiang Yan, Riordan Alfredo, Xinyu Li, Roberto Martínez Maldonado:
Towards automated transcribing and coding of embodied teamwork communication through multimodal learning analytics. Br. J. Educ. Technol. 55(4): 1673-1702 (2024)
[j8]
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Lixiang Yan, Vanessa Echeverría, Yueqiao Jin, Gloria Fernández-Nieto, Linxuan Zhao, Xinyu Li, Riordan Alfredo, Zachari Swiecki, Dragan Gasevic, Roberto Martínez-Maldonado:
Evidence-based multimodal learning analytics for feedback and reflection in collaborative learning. Br. J. Educ. Technol. 55(5): 1900-1925 (2024)
[j7]
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Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Lixiang Yan, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado:
Human-centred learning analytics and AI in education: A systematic literature review. Comput. Educ. Artif. Intell. 6: 100215 (2024)
[c33]
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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:
Co-designing a knowledge management tool for educator communities of practice. Conference on Designing Interactive Systems 2024
[c32]
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Ying Yang, Tim Dwyer, Zachari Swiecki, Benjamin Lee, Michael Wybrow, Maxime Cordeil, Teresa Wulandari, Bruce H. Thomas, Mark Billinghurst:
Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping. AHs 2024: 255-258
[c31]
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Lixiang Yan, Vanessa Echeverría, Gloria Milena Fernández Nieto, Yueqiao Jin, Zachari Swiecki, Linxuan Zhao, Dragan Gasevic, Roberto Martínez Maldonado:
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations. CHI Extended Abstracts 2024: 191:1-191:7
[c30]
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Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado:
SLADE: A Method for Designing Human-Centred Learning Analytics Systems. LAK 2024: 24-34
[c29]
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Linxuan Zhao, Vanessa Echeverría, Zachari Swiecki, Lixiang Yan, Riordan Alfredo, Xinyu Li, Dragan Gasevic, Roberto Martínez Maldonado:
Epistemic Network Analysis for End-users: Closing the Loop in the Context of Multimodal Analytics for Collaborative Team Learning. LAK 2024: 90-100
[c28]
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Zhiping Liang, Zijie Zeng, Gloria Fernández-Nieto, Yuheng Li, Yi-Shan Tsai, Guanliang Chen, Zachari Swiecki, Dragan Gasevic, John Bradley, Lele Sha:
Data Storytelling on Multi-Modal Knowledge Graph via Data Comics: a Case Study in Yanyuwa Language. LAK Workshops 2024: 100-117
[c27]
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Zheng Fang, Weiqing Wang, Guanliang Chen, Zachari Swiecki:
Neural Epistemic Network Analysis: Combining Graph Neural Networks and Epistemic Network Analysis to Model Collaborative Processes. LAK 2024: 157-166
[c26]
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Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki:
Evidence-centered Assessment for Writing with Generative AI. LAK 2024: 178-188
[c25]
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  - conf/lak/RakovicLFSKMMHS24
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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:
Measuring Affective and Motivational States as Conditions for Cognitive and Metacognitive Processing in Self-Regulated Learning. LAK 2024: 701-712
[c24]
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Ryan Garg, Jaeyoung Han, Yixin Cheng, Zheng Fang, Zachari Swiecki:
Automated Discourse Analysis via Generative Artificial Intelligence. LAK 2024: 814-820
[i5]
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  - journals/corr/abs-2401-08964
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Yixin Cheng, Kayley M. Lyons, Guanliang Chen, Dragan Gasevic, Zachari Swiecki:
Evidence-centered Assessment for Writing with Generative AI. CoRR abs/2401.08964 (2024)
[i4]
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  - journals/corr/abs-2403-13517
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Ying Yang, Tim Dwyer, Zachari Swiecki, Benjamin Lee, Michael Wybrow, Maxime Cordeil, Teresa Wulandari, Bruce H. Thomas, Mark Billinghurst:
Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping. CoRR abs/2403.13517 (2024)
[i3]
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  - journals/corr/abs-2406-14885
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Kaixun Yang, Yixin Cheng, Linxuan Zhao, Mladen Rakovic, Zachari Swiecki, Dragan Gasevic, Guanliang Chen:
Ink and Algorithm: Exploring Temporal Dynamics in Human-AI Collaborative Writing. CoRR abs/2406.14885 (2024)
2023
[c23]
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  - conf/icqe/LiLISTFG23
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Tongguang Li, Jionghao Lin, Sehrish Iqbal, Zachari Swiecki, Yi-Shan Tsai, Yizhou Fan, Dragan Gasevic:
Do Learners Appreciate Adaptivity? An Epistemic Network Analysis of How Learners Perceive Adaptive Scaffolding. ICQE 2023: 3-17
[c22]
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  - conf/icqe/YanTSGSZLM23
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Lixiang Yan, Yuanru Tan, Zachari Swiecki, Dragan Gasevic, David Williamson Shaffer, Linxuan Zhao, Xinyu Li, Roberto Martínez Maldonado:
Characterising Individual-Level Collaborative Learning Behaviours Using Ordered Network Analysis and Wearable Sensors. ICQE 2023: 66-80
[c21]
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  - conf/icqe/FangYS23
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Zheng Fang, Ying Yang, Zachari Swiecki:
Automated Code Discovery via Graph Neural Networks and Generative AI. ICQE 2023: 438-454
[c20]
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  - conf/lak/AlfredoNKPHCMSG23
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Riordan Dervin Alfredo, Lanbing Nie, Paul J. Kennedy, Tamara Power, Carolyn Hayes, Hui Chen, Carolyn McGregor, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado:
"That Student Should be a Lion Tamer!" StressViz: Designing a Stress Analytics Dashboard for Teachers. LAK 2023: 57-67
[c19]
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Linxuan Zhao, Zachari Swiecki, Dragan Gasevic, Lixiang Yan, Samantha Dix, Hollie Jaggard, Rosie Wotherspoon, Abra Osborne, Xinyu Li, Riordan Alfredo, Roberto Martínez Maldonado:
METS: Multimodal Learning Analytics of Embodied Teamwork Learning. LAK 2023: 186-196
[i2]
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  - journals/corr/abs-2311-03999
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Lixiang Yan, Vanessa Echeverría, Gloria Fernández-Nieto, Yueqiao Jin, Zachari Swiecki, Linxuan Zhao, Dragan Gasevic, Roberto Martínez Maldonado:
Human-AI Collaboration in Thematic Analysis using ChatGPT: A User Study and Design Recommendations. CoRR abs/2311.03999 (2023)
[i1]
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  - journals/corr/abs-2312-12751
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Riordan Alfredo, Vanessa Echeverría, Yueqiao Jin, Lixiang Yan, Zachari Swiecki, Dragan Gasevic, Roberto Martínez Maldonado:
Human-Centred Learning Analytics and AI in Education: a Systematic Literature Review. CoRR abs/2312.12751 (2023)
2022
[j6]
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  - journals/caeai/SwieckiKCMLMSG22
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Zachari Swiecki, Hassan Khosravi, Guanliang Chen, Roberto Martínez Maldonado, Jason M. Lodge, Sandra Milligan, Neil Selwyn, Dragan Gasevic:
Assessment in the age of artificial intelligence. Comput. Educ. Artif. Intell. 3: 100075 (2022)
[c18]
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  - conf/aied/LiSGC22
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Lin Li, Zachari Swiecki, Dragan Gasevic, Guanliang Chen:
Popularity Prediction in MOOCs: A Case Study on Udemy. AIED (1) 2022: 607-613
[c17]
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  - conf/icqe/SwieckiE22
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Zachari Swiecki, Brendan R. Eagan:
The Role of Data Simulation in Quantitative Ethnography. ICQE 2022: 87-100
[c16]
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  - conf/lak/IqbalSJMAHG22
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Sehrish Iqbal, Zachari Swiecki, Srecko Joksimovic, Rafael Ferreira Mello, Naif R. Aljohani, Saeed-Ul Hassan, Dragan Gasevic:
Uncovering Associations Between Cognitive Presence and Speech Acts: A Network-Based Approach. LAK 2022: 315-325
2021
[j5]
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  - journals/solarjla/Swiecki21
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Zachari Swiecki:
Measuring the Impact of Interdependence on Individuals During Collaborative Problem-Solving. J. Learn. Anal. 8(1): 75-94 (2021)
[j4]
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  - journals/solarjla/MaldonadoGENSS21
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Roberto Martínez Maldonado, Dragan Gasevic, Vanessa Echeverría, Gloria Fernández-Nieto, Zachari Swiecki, Simon Buckingham Shum:
What Do You Mean by Collaboration Analytics? A Conceptual Model. J. Learn. Anal. 8(1): 126-153 (2021)
[c15]
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Zachari Swiecki:
The Expected Value Test: A New Statistical Warrant for Theoretical Saturation. ICQE 2021: 49-65
2020
[j3]
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  - journals/chb/SwieckiRFS20
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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]
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  - conf/icqe/ZorgoSR20
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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
[c13]
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  - conf/icqe/BowmanSCWELS20
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Dale Bowman, Zachari Swiecki, Zhiqiang Cai, Yeyu Wang, Brendan R. Eagan, Jeff T. Linderoth, David Williamson Shaffer:
The Mathematical Foundations of Epistemic Network Analysis. ICQE 2020: 91-105
[c12]
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  - conf/icqe/FogelSMCWBSERS20
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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
[c11]
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  - conf/icqe/WangSRS20
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Yeyu Wang, Zachari Swiecki, Andrew R. Ruis, David Williamson Shaffer:
Simplification of Epistemic Networks Using Parsimonious Removal with Interpretive Alignment. ICQE 2020: 137-151
[c10]
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Zachari Swiecki, David Williamson Shaffer:
iSENS: an integrated approach to combining epistemic and social network analyses. LAK 2020: 305-313

2010 – 2019

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2019
[j2]
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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)
[c9]
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  - conf/cscl/EaganSFS19
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Brendan R. Eagan, Zachari Swiecki, Cayley Farrell, David W. Shaffer:
The Binary Replicate Test: Determining the Sensitivity of CSCL Models to Coding Error. CSCL 2019
[c8]
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Zachari Swiecki, Zheming Lian, Andrew R. Ruis, David W. Shaffer:
Does Order Matter? Investigating Sequential and Cotemporal Models of Collaboration. CSCL 2019
[c7]
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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
[c6]
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Zachari Swiecki, David W. Shaffer:
Toward a Taxonomy of Team Performance Visualization Tools. ICLS 2018
[c5]
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  - conf/ilrn/FosterSBPCDSSKQ18
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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:
Virtual Learning Environments for Promoting Self Transformation: Iterative Design and Implementation of Philadelphia Land Science. iLRN 2018: 3-22
[c4]
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  - conf/lak/HerderSFTASM18
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Tiffany Herder, Zachari Swiecki, Simon Skov Fougt, Andreas Lindenskov Tamborg, Benjamin Brink Allsopp, David Williamson Shaffer, Morten Misfeldt:
Supporting teachers' intervention in students' virtual collaboration using a network based model. LAK 2018: 21-25
2017
[j1]
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  - journals/solarjla/SiebertEvenstoneICSRS17
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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]
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  - conf/edm/GautamSSRG17
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Dipesh Gautam, Zachari Swiecki, David W. Shaffer, Vasile Rus, Arthur C. Graesser:
Modeling Classifiers for Virtual Internships Without Participant Data. EDM 2017
2016
[c2]
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Vasile Rus, Dipesh Gautam, Zach Swiecki, David W. Shaffer, Art Graesser:
Assessing Student-Generated Design Justifications in Virtual Engineering Internships. EDM 2016: 496-501
[c1]
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  - conf/icls/Siebert-Evenstone16
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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

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