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Kimberly Fluet
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2020 – today
- 2023
- [c11]Xumin Liu, Erik Golen, Rajendra K. Raj, Kimberly Fluet:
Offering Data Science Coursework to Non-Computing Majors. DataEd@SIGMOD 2023 - [c10]Xumin Liu, Erik Golen, Rajendra K. Raj, Kimberly Fluet:
A Web-Based Learning Platform for Teaching Data Science to Non-Computer Majors. FIE 2023: 1-9 - [c9]Sharon Mason, Kimberly Fluet:
Mentoring Economically Disadvantaged Computing Students with a Growth Mindset: Embracing our Own Growth Mindset by Learning from First Faculty Perspectives of a Novel Endeavor. FIE 2023: 1-8 - [c8]Ivona Bezáková, Kimberly Fluet, Edith Hemaspaandra, Hannah Miller, David E. Narváez:
Feedback Tools and Motivation to Persist in Intro CS Theory. SIGCSE (2) 2023: 1341 - 2022
- [c7]Ivona Bezáková, Kimberly Fluet, Edith Hemaspaandra, Hannah Miller, David E. Narváez:
Effective Succinct Feedback for Intro CS Theory: A JFLAP Extension. SIGCSE (1) 2022: 976-982 - [c6]Zack Butler, Ivona Bezáková, Angelina Brilliantova, Hannah Miller, Kimberly Fluet:
Pencil Puzzles as a Context for Introductory Computing Assignments in Diverse Settings. SIGCSE (2) 2022: 1103 - 2021
- [c5]Zack Butler, Ivona Bezáková, Kimberly Fluet:
Puzzles in Many Places: Closing the Loop on Propagation. SIGCSE 2021: 1278 - [c4]Ivona Bezáková, Kimberly Fluet, Edith Hemaspaandra, Hannah Miller, David E. Narváez:
Witness Feedback for Introductory CS Theory Assignments. SIGCSE 2021: 1300 - 2020
- [i1]Ivona Bezáková, Kimberly Fluet, Edith Hemaspaandra, Hannah Miller, David E. Narváez:
Effective Feedback for Introductory CS Theory: A JFLAP Extension and Student Persistence. CoRR abs/2012.01546 (2020)
2010 – 2019
- 2018
- [c3]Zack Butler, Ivona Bezáková, Kimberly Fluet:
Analyzing rich qualitative data to study pencil-puzzle-based assignments in CS1 and CS2. ITiCSE 2018: 212-217 - [c2]Zack Butler, Ivona Bezáková, Kimberly Fluet:
Qualitative Analysis of Open-ended Comments in Introductory CS Courses: (Abstract Only). SIGCSE 2018: 1086 - 2017
- [c1]Zack J. Butler, Ivona Bezáková, Kimberly Fluet:
Pencil Puzzles for Introductory Computer Science: an Experience- and Gender-Neutral Context. SIGCSE 2017: 93-98
Coauthor Index
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