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ORCIDAndres Felipe Zambrano
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2020 – today
- 2024
[c13]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:
ChatGPT for Education Research: Exploring the Potential of Large Language Models for Qualitative Codebook Development. AIED (2) 2024: 134-149- [c12]Shreya Singhal, Andres Felipe Zambrano, Maciej Pankiewicz, Xiner Liu, Chelsea Porter, Ryan S. Baker:
De-Identifying Student Personally Identifying Information with GPT-4. EDM 2024 - [c11]Andres Felipe Zambrano, Ryan S. Baker, Sami Baral, Neil T. Heffernan, Andrew S. Lan:
From Reaction to Anticipation: Predicting Future Affect. EDM 2024 - [c10]Andres Felipe Zambrano, Nidhi Nasiar, Jaclyn Ocumpaugh, Alex Goslen, Jiayi Zhang, Jonathan P. Rowe, Jordan Esiason, Jessica Vandenberg, Stephen Hutt:
Says Who? How different ground truth measures of emotion impact student affective modeling. EDM 2024 - [c9]Andres Felipe Zambrano, Maciej Pankiewicz, Amanda Barany, Ryan Shaun Baker:
Ordered Network Analysis in CS Education: Unveiling Patterns of Success and Struggle in Automated Programming Assessment. ITiCSE (1) 2024 - [c8]Andres Felipe Zambrano, Ryan Shaun Baker:
Long-Term Prediction from Topic-Level Knowledge and Engagement in Mathematics Learning. LAK 2024: 66-77 - [c7]Andres Felipe Zambrano, Jiayi Zhang, Ryan S. Baker:
Investigating Algorithmic Bias on Bayesian Knowledge Tracing and Carelessness Detectors. LAK 2024: 349-359 - [i1]Ryan S. Baker, Nigel Bosch, Stephen Hutt, Andres Felipe Zambrano, Alex J. Bowers:
On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem. CoRR abs/2404.06989 (2024) - 2023
- [j2]Andres Felipe Zambrano, Luis Felipe Giraldo, Monica Tatiana Perdomo, Iván Darío Hernández, Jesús María Godoy:
Variations of Rotating Savings and Credit Associations for Community Development. IEEE Trans. Comput. Soc. Syst. 10(2): 614-622 (2023) - [c6]Andres Felipe Zambrano, Ryan S. Baker, Andrew S. Lan:
Active Learning for a Classroom Observer who Can't Time Travel. ACIIW 2023: 1-8 - [c5]Nidhi Nasiar, Andres Felipe Zambrano, Jaclyn Ocumpaugh, Stephen Hutt, Alexis Goslen, Jonathan P. Rowe, James C. Lester, Nathan L. Henderson, Eric N. Wiebe, Kristy Elizabeth Boyer, Bradford W. Mott:
It's Good to Explore: Investigating Silver Pathways and the Role of Frustration During Game-Based Learning. AIED (Posters/Late Breaking Results/...) 2023: 497-503 - [c4]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:
Cracking the Code of Learning Gains: Using Ordered Network Analysis to Understand the Influence of Prior Knowledge. ICQE 2023: 18-33 - [c3]Juhan Kim, Amanda Barany, Xiner Liu, Andres Felipe Zambrano:
The Stories We Tell: Uncovering Hidden Narratives in History Textbooks Through Epistemic Network Analysis. ICQE 2023: 261-274 - [c2]Stephanie Rivera-Kumar, Andres Felipe Zambrano, Amanda Barany:
Envisioning Latinx Narratives: Exploring Mexican and Honduran Immigrant Perspectives Using Epistemic Networks by Geospatial Location. ICQE 2023: 304-315 - [c1]Andres Felipe Zambrano, Xiner Liu, Amanda Barany, Ryan S. Baker, Juhan Kim, Nidhi Nasiar:
From nCoder to ChatGPT: From Automated Coding to Refining Human Coding. ICQE 2023: 470-485 - 2021
- [j1]Andres Felipe Zambrano, Gilberto Díaz-García, Santiago Ramírez, Luis Felipe Giraldo, Hugo Gonzalez Villasanti, Monica Tatiana Perdomo, Iván Darío Hernández, Jesús María Godoy:
Donation Networks in Underprivileged Communities. IEEE Trans. Comput. Soc. Syst. 8(1): 76-85 (2021)
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