Abstract
Data analytics skills have become an indispensable part of any education that seeks to prepare its students for the modern workforce. Essential in this skill set is the ability to work with structured relational data. Relational queries are based on logic and may be declarative in nature, posing new challenges to novices and students. Manual teaching resources being limited and enrollment growing rapidly, automated tools that help students debug queries and explain errors are potential game-changers in database education. We present a suite of tools built on the foundations of database theory that has been used by over 1600 students in database classes at Duke University, showcasing a high-impact application of database theory in database education.
| Original language | English |
|---|---|
| Title of host publication | 27th International Conference on Database Theory, ICDT 2024 |
| Editors | Graham Cormode, Michael Shekelyan |
| Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
| ISBN (Electronic) | 9783959773126 |
| DOIs | |
| State | Published - Mar 2024 |
| Event | 27th International Conference on Database Theory, ICDT 2024 - Paestum, Italy Duration: 25 Mar 2024 → 28 Mar 2024 |
Publication series
| Name | Leibniz International Proceedings in Informatics, LIPIcs |
|---|---|
| Volume | 290 |
| ISSN (Print) | 1868-8969 |
Conference
| Conference | 27th International Conference on Database Theory, ICDT 2024 |
|---|---|
| Country/Territory | Italy |
| City | Paestum |
| Period | 25/03/24 → 28/03/24 |
Bibliographical note
Publisher Copyright:© Sudeepa Roy, Amir Gilad, Yihao Hu, Hanze Meng, Zhengjie Miao, Kristin Stephens-Martinez, and Jun Yang.
Keywords
- Boolean Provenance
- Database Education
- Query Debugging
- Relational Algebra
- Relational Calculus
- SQL