TY - GEN
T1 - Scaling up Data Science Course Projects
T2 - 8th Annual ACM Conference on Learning at Scale, L@S 2021
AU - Bhavya, Bhavya
AU - Xiao, Jinfeng
AU - Zhai, Chengxiang
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/6/8
Y1 - 2021/6/8
N2 - Large-scale, online Data Science (DS) courses and degree programs are becoming increasingly common due to the global rise in popularity and demand for data scientists. Although project-based learning is integral to gaining hands-on experience in DS education, providing fair, timely, and high-quality feedback on varied projects for a large number of diverse students is challenging. To address those challenges in scaling up the assessment of DS group projects, we integrated multiple techniques, such as rapid feedback, peer grading, graders as meta-reviewers, etc. We present a case study of deploying those strategies for group projects in a large online DS course titled Text Information Systems offered in Fall, 2020. We synthesize our findings from analyzing student and grader survey responses, and share useful lessons and future work.
AB - Large-scale, online Data Science (DS) courses and degree programs are becoming increasingly common due to the global rise in popularity and demand for data scientists. Although project-based learning is integral to gaining hands-on experience in DS education, providing fair, timely, and high-quality feedback on varied projects for a large number of diverse students is challenging. To address those challenges in scaling up the assessment of DS group projects, we integrated multiple techniques, such as rapid feedback, peer grading, graders as meta-reviewers, etc. We present a case study of deploying those strategies for group projects in a large online DS course titled Text Information Systems offered in Fall, 2020. We synthesize our findings from analyzing student and grader survey responses, and share useful lessons and future work.
KW - course projects
KW - data science education
KW - scalable assessment
UR - http://www.scopus.com/inward/record.url?scp=85108066813&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85108066813&partnerID=8YFLogxK
U2 - 10.1145/3430895.3460168
DO - 10.1145/3430895.3460168
M3 - Conference contribution
AN - SCOPUS:85108066813
T3 - L@S 2021 - Proceedings of the 8th ACM Conference on Learning @ Scale
SP - 311
EP - 314
BT - L@S 2021 - Proceedings of the 8th ACM Conference on Learning @ Scale
PB - Association for Computing Machinery
Y2 - 22 June 2021 through 25 June 2021
ER -