Tabitha Belshee, Adam Chang, Nebil Ibrahim, Mikako Inaba, Nikoo Karbassi, Angelo Kayser-Browne, Hye Jee Kim, Rachel Kim, Seungjae Ryan Lee, Natalia Orlovsky, Michael Guerzhoy. Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students. In Mark Sherriff, Laurence D. Merkle, Pamela A. Cutter, Alvaro E. Monge, Judithe Sheard, editors, SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, Virtual Event, USA, March 13-20, 2021. pages 1280, ACM, 2021. [doi]
@inproceedings{BelsheeCIIKKKKL21,
title = {Improving Current and Future Offerings of a Data Science Course through Large-Scale Observation of Students},
author = {Tabitha Belshee and Adam Chang and Nebil Ibrahim and Mikako Inaba and Nikoo Karbassi and Angelo Kayser-Browne and Hye Jee Kim and Rachel Kim and Seungjae Ryan Lee and Natalia Orlovsky and Michael Guerzhoy},
year = {2021},
doi = {10.1145/3408877.3439640},
url = {https://doi.org/10.1145/3408877.3439640},
researchr = {https://researchr.org/publication/BelsheeCIIKKKKL21},
cites = {0},
citedby = {0},
pages = {1280},
booktitle = {SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, Virtual Event, USA, March 13-20, 2021},
editor = {Mark Sherriff and Laurence D. Merkle and Pamela A. Cutter and Alvaro E. Monge and Judithe Sheard},
publisher = {ACM},
isbn = {978-1-4503-8062-1},
}