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Michael Shindler
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2020 – today
- 2026
- [c11]Yubin Kim
, Edward X. Chen
A Replication Study on Student Expectations on CS Tutors: Understanding Roles and Labors of Tutors. SIGCSE (1) 2026: 568-574 - [c10]Raymond Klefstad
Scaling Engagement: Leveraging Social Annotation and AI for Collaborative Code Review in Large CS Courses. SIGCSE (1) 2026: 582-588 - [c9]Ryan E. Dougherty
Pedagogy in Theory of Computing and Algorithms. SIGCSE (2) 2026: 1615-1616 - [c8]Dan Garcia
It Seemed Like a Good Idea at the Time ('No, Not Like That!' edition). SIGCSE (2) 2026: 1619-1620 - [i2]Dip Kiran Pradhan Newar, Michael Shindler, Seth Poulsen:
Assessing Student Ability to Select an Algorithmic Paradigm. CoRR abs/2606.12417 (2026) - 2025
- [c7]Matthew Ferland
Construction and Preliminary Validation of a Dynamic Programming Concept Inventory. SIGCSE (1) 2025: 325-331 - [c6]Nero Li
Investigating the Capabilities of Generative AI in Solving Data Structures, Algorithms, and Computability Problems. SIGCSE (1) 2025: 659-665 - 2024
- [c5]Ryan E. Dougherty
A Survey of Undergraduate Theory of Computing Curricula. SIGCSE Virtual (2) 2024 - [c4]Ryan E. Dougherty
A Survey of Undergraduate Theory of Computation Curricula in the United States. SIGCSE Virtual (Working Group Reports) 2024: 1-14 - [i1]Matthew Ferland, Varun Nagaraj Rao, Arushi Arora, Drew van der Poel, Michael Luu, Randy Huynh, Frederick Reiber, Sandra Ossman, Seth Poulsen, Michael Shindler:
Construction and Preliminary Validation of a Dynamic Programming Concept Inventory. CoRR abs/2411.14655 (2024) - 2023
- [c3]Michael Luu
What is an Algorithms Course?: Survey Results of Introductory Undergraduate Algorithms Courses in the U.S. SIGCSE (1) 2023: 284-290 - 2022
- [j3]Michael Shindler
Student misconceptions of dynamic programming: a replication study. Comput. Sci. Educ. 32(3): 288-312 (2022) - [j2]Michael Shindler, Michael T. Goodrich, Ofek Gila, Michael B. Dillencourt:
Beyond big O: teaching experimental algorithmics. J. Comput. Sci. Coll. 37(10): 23-36 (2022) - 2020
- [j1]Michael Shindler, Matthew Ferland, Aaron Cote, Olivera Grujic:
Experience report: preemptive final exams for computer science theory classes. J. Comput. Sci. Coll. 35(10): 9-14 (2020)
2010 – 2019
- 2011
- [c2]Michael Shindler, Alex Wong, Adam Meyerson:
Fast and Accurate k-means For Large Datasets. NIPS 2011: 2375-2383 - [c1]Vladimir Braverman, Adam Meyerson, Rafail Ostrovsky
Streaming k-means on Well-Clusterable Data. SODA 2011: 26-40
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