Andrew Migler
ABSTRACT
The Structured Query Language (SQL) is powerful, prevalent across many problem domains, and challenging to master. Sophisticated information requests require programmers to set aside familiar procedural and functional modes of thought. Instead, programmers must learn how to apply unfamiliar set-based relational manipulation rules. This paper analyzes the student learning process in an introductory database course. We do this using detailed analysis of problem-solving attempts by 114 students related to 116 SQL lab exercises assigned over a five-week period. We measure student success rates in mastering these SQL concepts, as well as effort expended by students in solving information retrieval problems.
- Alireza Ahadi, Vahid Behbood, Arto Vihavainen, Julia Prior, and Raymond Lister. 2016. Students' Syntactic Mistakes in Writing Seven Different Types of SQL Queries and Its Application to Predicting Students' Success. In Proceedings of the 47th ACM Technical Symposium on Computing Science Education (SIGCSE '16). ACM, New York, NY, USA, 401--406. https://doi.org/10.1145/2839509.2844640Google Scholar
Digital Library
- Alireza Ahadi, Julia Prior, Vahid Behbood, and Raymond Lister. 2015. A Quantitative Study of the Relative Difficulty for Novices of Writing Seven Different Types of SQL Queries. In Proceedings of the 2015 ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE '15). ACM, New York, NY, USA, 201--206. https://doi.org/10.1145/2729094.2742620Google ScholarDigital Library
- L. Cagliero, L. De Russis, L. Farinetti, and T. Montanaro. 2018. Improving the Effectiveness of SQL Learning Practice: A Data-Driven Approach. In 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) , Vol. 01. 980--989. https://doi.org/10.1109/COMPSAC.2018.00174Google Scholar
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- L. I. McCann. 2003. On making relational division comprehensible. In 33rd Annual Frontiers in Education, 2003. FIE 2003., Vol. 2. F2C--6. https://doi.org/10.1109/FIE.2003.1264699Google ScholarCross Ref
- Antonija Mitrovic, Brent Martin, and Michael Mayo. 2002. Using Evaluation to Shape ITS Design: Results and Experiences with SQL-Tutor. User Modeling and User-Adapted Interaction , Vol. 12, 2--3 (March 2002), 243--279. https://doi.org/10.1023/A:1015022619307Google ScholarDigital Library
- Andrew Pavlo and Matthew Aslett. 2016. What's Really New with NewSQL? SIGMOD Rec. , Vol. 45, 2 (Sept. 2016), 45--55. https://doi.org/10.1145/3003665.3003674Google ScholarDigital Library
- Gang Qian. 2018. Teaching SQL: A Divide-and-conquer Method for Writing Queries. J. Comput. Sci. Coll. , Vol. 33, 4 (April 2018), 37--44. http://dl.acm.org/citation.cfm?id=3199572.3199577Google Scholar
- Karen Renaud and Judy Biljon. 2004. Teaching SQL - Which Pedagogical Horse for This Course? 244--256. https://doi.org/10.1007/978--3--540--27811--5_22Google Scholar
- Shazia Sadiq, Maria Orlowska, Wasim Sadiq, and Joe Lin. 2004. SQLator: An Online SQL Learning Workbench. SIGCSE Bull. , Vol. 36, 3 (June 2004), 223--227. https://doi.org/10.1145/1026487.1008055Google Scholar
- Toni Taipalus and Piia Per"al"a. 2019. What to Expect and What to Focus on in SQL Query Teaching. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (SIGCSE '19). ACM, New York, NY, USA, 198--203. https://doi.org/10.1145/3287324.3287359Google ScholarDigital Library
- Toni Taipalus, Mikko Siponen, and Tero Vartiainen. 2018. Errors and Complications in SQL Query Formulation. ACM Trans. Comput. Educ. , Vol. 18, 3, Article 15 (Aug. 2018), bibinfonumpages29 pages. https://doi.org/10.1145/3231712Google ScholarDigital Library
Index Terms
- Mapping the SQL Learning Process in Introductory Database Courses
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