Amanda Barany

41 papers C 5Journal 4Unranked 30
YearRankTypeTitle / Venue / Authors
2025 — conf
Automatic Large Language Models Creation of Interactive Learning Lessons.
EC-TE (1)
Jionghao Lin, Jiarui Rao, Sandy Yiyang Zhao, Yuting Wang, Ashish Gurung, Amanda Barany, Jaclyn Ocumpaugh, Ryan S. Baker, Kenneth R. Koedinger
2025 J jnl
Automatic Large Language Models Creation of Interactive Learning Lessons.
CoRR
Jionghao Lin, Jiarui Rao, Yiyang Zhao, Yuting Wang, Ashish Gurung, Amanda Barany, Jaclyn Ocumpaugh, Ryan S. Baker, Kenneth R. Koedinger
2025 — conf
Integrating Large Language Models and Machine Learning to Detect Struggle in Educational Games.
AIED (5)
Xiner Liu, Zhanlan Wei, Ryan S. Baker, Shari J. Metcalf, Jiayi Zhang, Amanda Barany, Stefan Slater, Luke Swanson, David J. Gagnon
2025 — ed.
Joint Proceedings of LAK 2025 Workshops co-located with 15th International Conference on Learning Analytics and Knowledge (LAK 2025), Dublin, Ireland, March 3-4, 2025.
LAK Workshops
Martin Hlosta, Ivan Moser, Amir Winer, Nitza Geri, Birte Heinemann, Sergej Görzen, Umesh Ramnarain, Christo van der Westhuizen, Mafor Penn, Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge, Brendan Flanagan, Owen H. T. Lu, Atsushi Shimada, Namrata Srivastava, Albert C. M. Yang, Hsiao-Ting Tseng, Fumiya Okubo, Eduardo Davalos Anaya, Hiroaki Ogata, Riordan Alfredo, Simon Buckingham Shum, Mutlu Cukurova, Yannis A. Dimitriadis, Charles Lang, Roberto Martínez-Maldonado, Patricia Santos, Olga Viberg, Andy Nguyen, Sanna Järvelä, Carolyn P. Rosé, Alyssa Wise, Michail Giannakos, Kshitij Sharma, Luna Huynh, Amanda Barany, Ryan Shaun Baker, Jionghao Lin, Andrew Katz, Maurice Boothe Jr., Xavier Ochoa, David J. Gagnon, Luke Swanson, Erik Harpstead
2025 J jnl
Qualitative Coding with GPT-4: Where it Works Better.
J. Learn. Anal.
Xiner Liu, Andres Felipe Zambrano, Ryan S. Baker, Amanda Barany, Jaclyn Ocumpaugh, Jiayi Zhang, Maciej Pankiewicz, Nidhi Nasiar, Zhanlan Wei
2025 J jnl
The Quick Red Fox gets the best Data Driven Classroom Interviews: A manual for an interview app and its associated methodology.
CoRR
Jaclyn Ocumpaugh, Luc Paquette, Ryan Shaun Baker, Amanda Barany, Jeff Ginger, Nathan Casano, Andres Felipe Zambrano, Xiner Liu, Zhanlan Wei, Yiqui Zhou, Qianhui Liu, Stephen Hutt, Alexandra M. A. Andres, Nidhi Nasiar, Camille Giordano, Martin Van Velsen, Micheal Mogessi
2025 — conf
Usage Patterns and Performance Gains in Gamified Online Judges: A Data-Driven Analysis Informed by Cognitive Psychology in CS1.
AIED (6)
Luiz A. L. Rodrigues, Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Baker
2025 J jnl
What do you say? A pilot study investigating student responses in Data Driven Classroom Interviews.
CoRR
Jaclyn Ocumpaugh, Zhanlan Wei, Amanda Barany, Xiner Liu, Andres Felipe Zambrano, Ryan Baker, Camille Gioradno
2024 — conf
ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development.
AIED (2)
Amanda Barany, Nidhi Nasiar, Chelsea Porter, Andres Felipe Zambrano, Juliana Ma. Alexandra L. Andres, Dara Bright, Mamta Shah, Xiner Liu, Sabrina Gao, Jiayi Zhang, Shruti Mehta, Jaeyoon Choi, Camille Giordano, Ryan S. Baker
2024 C conf
Cultural Relevance for Epistemic Practice in High School Computational Data Mining.
FIE
Alex Acquah, Amanda Barany, Andi Scarola, Michael A. Johnson, Sayed Mohsin Reza, Christopher Rivera, Justice T. Walker
2024 C conf
Empowering K-12 Students Through Open Inquiry on Open Government Data: A Data-Driven Approach in CS Education.
FIE
Sayed Mohsin Reza, Anmol Garg, Michael A. Johnson, Amanda Barany, Alex Acquah, Justice T. Walker
2024 — conf
Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment.
ITiCSE (1)
Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Shaun Baker
2023 — ed.
Advances in Quantitative Ethnography - 4th International Conference, ICQE 2022, Copenhagen, Denmark, October 15-19, 2022, Proceedings
ICQE
Crina Damsa, Amanda Barany
2023 C conf
Coding Like a Data Miner: A Sandbox Approach to Computing-Based Data Science for High School Student Learning.
FIE
Justice T. Walker, Amanda Barany, Alex Acquah, Sayed Mohsin Reza, Alan Barrera, Karen Del Rio Guzman, Michael A. Johnson
2023 — conf
Cracking the Code of Learning Gains: Using Ordered Network Analysis to Understand the Influence of Prior Knowledge.
ICQE
Andres Felipe Zambrano, Amanda Barany, Jaclyn Ocumpaugh, Nidhi Nasiar, Stephen Hutt, Alex Goslen, Jonathan P. Rowe, James C. Lester, Eric N. Wiebe, Bradford W. Mott
2023 — conf
Decoding Player Behavior: Analyzing Reasons for Player Quitting Using Log Data from Puzzle Game Baba Is You.
ICQE
Xiner Liu, Basel Hussein, Amanda Barany, Ryan S. Baker, Bodong Chen
2023 — conf
Envisioning Latinx Narratives: Exploring Mexican and Honduran Immigrant Perspectives Using Epistemic Networks by Geospatial Location.
ICQE
Stephanie Rivera-Kumar, Andres Felipe Zambrano, Amanda Barany
2023 — conf
From nCoder to ChatGPT: From Automated Coding to Refining Human Coding.
ICQE
Andres Felipe Zambrano, Xiner Liu, Amanda Barany, Ryan S. Baker, Juhan Kim, Nidhi Nasiar
2023 — conf
The Stories We Tell: Uncovering Hidden Narratives in History Textbooks Through Epistemic Network Analysis.
ICQE
Juhan Kim, Amanda Barany, Xiner Liu, Andres Felipe Zambrano
2023 — conf
Using Epistemic Network Analysis to Explore Flexibility and Development of Termite Fishing Techniques in Nigeria-Cameroon Chimpanzees (Pan troglodytes ellioti).
ICQE
Tyler Andres-Bray, Amanda Barany, Mary Katherine Gonder
2022 — conf
An Examination of Student Loan Borrowers' Attitudes Toward Debt Before and During COVID-19.
ICQE
Dara Bright, Amanda Barany
2022 — conf
Learning Through Feedback: Understanding Early-Career Teachers' Learning Using Online Video Platforms.
ICQE
Lara Condon, Amanda Barany, Janine Remillard, Caroline Ebby, Lindsay Goldsmith-Markey
2022 — conf
Multiclass Rotations in Epistemic Network Analysis.
ICQE
Mariah A. Knowles, Amanda Barany, Zhiqiang Cai, David Williamson Shaffer
2022 — conf
Understanding Detectors for SMART Model Cognitive Operation in Mathematical Problem-Solving Process: An Epistemic Network Analysis.
ICQE
Mengqian Wu, Jiayi Zhang, Amanda Barany
2022 — conf
What Makes a Good Answer? Analyzing the Content Structure of Answers to Stack Overflow's Most Popular Question.
ICQE
Luis Morales-Navarro, Amanda Barany
2021 — conf
Choosing Units of Analysis in Temporal Discourse.
ICQE
Amanda Barany, Michael Philips, Anthony J. Taiki Kawakubo, Jun Oshima
2020 — conf
"What Would Happen if Humans Disappeared from Earth?" Tracing and Visualizing Change in a Pre-School Child's Domain-Related Curiosities.
ICQE
Mamta Shah, Amanda Barany, Amanda Siebert-Evenstone
2020 — conf
An Epistemic Network Analysis of STEM Identity Exploration in Virtual Learning Environments.
ICLS
Amanda Barany, Hamideh Talafian, Aroutis Foster
2020 — conf
Connecting Curricular Design and Student Identity Change: An Epistemic Network Analysis.
ICQE
Amanda Barany, Mamta Shah, Aroutis Foster
2020 C conf
Design-Based Research Iterations of a Virtual Learning Environment for Identity Exploration.
iLRN
Amanda Barany, Aroutis Foster, Mamta Shah
2020 — conf
Identity Exploration in a Kerbal Space Program Community Forum.
ICLS
Amanda Barany, Aroutis Foster
2020 — conf
Patterns of Identity Exploration Among High School Students in a STEM Course Augmented by a Virtual Learning Environment.
ICLS
Hamideh Talafian, Amanda Barany, Aroutis Foster
2019 — conf
Designerly Ways of Learning: FabLearn 2019 Eighth Annual Conference, March 9-10, 2019.
FabLearn
Jonan Donaldson, Amanda Barany
2019 — conf
Examining Identity Exploration in a Video Game Participatory Culture.
ICQE
Amanda Barany, Aroutis Foster
2019 — conf
Examining the Impact of Virtual City Planning on High School Students' Identity Exploration.
ICQE
Mamta Shah, Aroutis Foster, Hamideh Talafian, Amanda Barany
2019 — conf
Promoting and Tracing High School Students' Identity Change in an Augmented Virtual Learning Environment.
CSCL
Hamideh Talafian, Mamta Shah, Amanda Barany, Aroutis Foster
2019 — conf
Tracing Identity Exploration Trajectories with Quantitative Ethnographic Techniques: A Case Study.
ICQE
Aroutis Foster, Mamta Shah, Amanda Barany, Hamideh Talafian
2019 — conf
Using Epistemic Networks with Automated Codes to Understand Why Players Quit Levels in a Learning Game.
ICQE
Shamya Karumbaiah, Ryan S. Baker, Amanda Barany, Valerie Shute
2018 — conf
Design-Activity-Sequence: A Case Study and Polyphonic Analysis of Learning in a Digital Design Thinking Workshop.
ICLS
Penny Wheeler, Stefan Trausan-Matu, Jonan Donaldson, Amanda Barany
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
2014 — conf
Science Sims and Games: Best Design Practices and Fave Flops.
ICLS
Mina C. Johnson-Glenberg, Caroline Savio-Ramos, Katherine K. Perkins, Emily B. Moore, Robb Lindgren, Douglas B. Clark, Corey E. Brady, Pratim Sengupta, Mario Martinez-Garza, Deanne Adams, Stephen S. Killingsworth, Grant Van Eaton, Matthew Gaydos, Amanda Barany, Kurt Squire, Nathan R. Holbert