Managing Data...and Covid An Experience Report
1st ACM SIGMOD International Workshop on Data Systems Education: Bridging Education Practice with Education Research, DataEd 2022, co-located with the ACM SIGMOD Conference
; : 56-59, 2022.
Article
in English
| Scopus | ID: covidwho-1932813
ABSTRACT
The Covid-19 pandemic presented a vast array of challenges for professors and students the world over. As we navigate Covid's long tail, many challenges remain. Those challenges - nasty as they are - can be recast in a constructive light and imbued with pedagogical significance as practical, common-ground motivational tools for teaching topics in data management. The author has done just that. In addition to teaching on full-time faculty in the Computer Science department at Marist College, he was a key member of their Covid-19 screening team. After designing and implementing data management systems for generating representative samples of the college population for surveillance testing, results tracking, and compliance monitoring, he used those experiences in new, hands-on ways to integrate data management theory with real-world practice in his classes. This experience report - wherein the author explains this journey and notes lessons learned - is an example of how, even once this pandemic has receded fully into the past, experiences like these can provide opportunities for educators to incorporate timely topics into their data management courses. © 2022 ACM.
Motivation and Engagement; Practice and Theory; Undergraduate Data Management Courses; Population statistics; Common ground; Data management system; Experience report; Long tail; Management course; Motivation and engagements; Representative sample; Tracking monitoring; Undergraduate data management course; Information management
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
1st ACM SIGMOD International Workshop on Data Systems Education: Bridging Education Practice with Education Research, DataEd 2022, co-located with the ACM SIGMOD Conference
Year:
2022
Document Type:
Article
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