I build innovative technologies to solve challenging problems in modern education. I have fifteen years of hands-on experience spanning across software engineering, data science, AI, and learning science. I have published award-winning research around educational data, and I actively work with the education community to materialize grand visions.
Winner, The 2022 EM:IP Cover Graphic/Data Visualization Competition
Best Paper, 2022 IEEE International Conference on Artificial Intelligence Trends and Pattern Recognition
Winner, 2019 NAEP Data Mining Challenge
Best Short Paper, 2018 Intelligent Tutoring Systems Conference
Honorable Mention, 2017 ACM CHI
Winning Team, 2011 National STEM Video Game Challenge
Nirmal Patel, Mithilesh Thakkar, Bansri Rabadiya, Darshan Patel, Shrey Malvi, Aditya Sharma, and Derek Lomas "Equitable Access to Intelligent Tutoring Systems Through Paper-Digital Integration" In International Conference on Intelligent Tutoring Systems, Springer, Cham, 2022. (in press)
Shrey Malvi, Nirmal Patel, Pratik Prajapati. "Variable Length Digit Recognition for the Gujarati Language." IEEE International Conference on Artificial Intelligence Trends and Pattern Recognition (ICAITPR), 2022. (in press)
Nirmal Patel, Aditya Sharma, Tirth Shah, and Derek Lomas. "Modeling NAEP Test-Taking Behavior Using Educational Process Analysis." Journal of Educational Data Mining 13, no. 2 (2021): 16-54.
Steve Ritter, April Murphy, Stephen E. Fancsali, Vivek Fitkariwala, Nirmal Patel, and J. Derek Lomas. "UpGrade: An open source tool to support A/B testing in educational software." In Proceedings of the First Workshop on Educational A/B Testing at Scale (at Learning@ Scale 2020). 2020.
Tirth Shah, Lukas Olson, Aditya Sharma, and Nirmal Patel. "Explainable Knowledge Tracing Models for Big Data: Is Ensembling an Answer?." arXiv preprint arXiv:2011.05285 (2020).
Nirmal Patel, Aditya Sharma, Collin Sellman, and Derek Lomas. "Curriculum pacing: A new approach to discover instructional practices in classrooms." In International Conference on Intelligent Tutoring Systems, pp. 345-351. Springer, Cham, 2018.
Derek Lomas, Kenneth Koedinger, Nirmal Patel, Sharan Shodhan, Nikhil Poonwala, and Jodi L. Forlizzi. "Is difficulty overrated? The effects of choice, novelty and suspense on intrinsic motivation in educational games." In Proceedings of the 2017 CHI conference on human factors in computing systems, pp. 1028-1039. 2017.
Nirmal Patel, Collin Sellman, and Derek Lomas. "Mining frequent learning pathways from a large educational dataset." arXiv preprint arXiv:1705.11125 (2017).
Derek Lomas, Jodi Forlizzi, Nikhil Poonwala, Nirmal Patel, Sharan Shodhan, Kishan Patel, Ken Koedinger, and Emma Brunskill. "Interface design optimization as a multi-armed bandit problem." In Proceedings of the 2016 CHI conference on human factors in computing systems, pp. 4142-4153. 2016.
A Workshop on Process Analysis Methods For Educational Data, In Educational Data Mining Conference, Paris, France. 2021.
A Workshop on Educational Data Visualization, In Learning Analytics and Knowledge Conference, Arizona, United States. 2019.
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