Paper Info
Title
Extending SQL Auto-Grading to DML and DDL Statements (Abstract Only)
Abstract
Automated assessment of computer programs submitted by students serves two main purposes: it may be used to increase grading efficiency and process optimization in large courses on one hand. On the other hand, if integrated properly into a suitable learning context, it may also improve student learning by supporting tutoring capabilities. Both aspects have been important in developing aSQLg, an automated grader for SQL statements ([1]). Unfortunately aSQLg so far only supports SQL queries. In order to provide a comprehensive efficiency and tutoring tool for SQL an extension to statements of the data manipulation (DML) and data definition language (DDL) is required. On this poster we present concepts for auto-grading of the most important DML and DDL statements as well as ideas on how to integrate those into the existing aSQLg grader.
Year
DOI
Venue
2015
10.1145/2676723.2691896
SIGCSE
Keywords
Field
DocType
automated grading,relational database systems,sql,data description languages,database systems,query languages,information systems education,tutoring software,data manipulation languages
SQL,Stored procedure,Programming language,Computer science,Data definition language,Query by Example,User-defined function,Relational database management system,Data manipulation language,SQL/PSM
Conference
Citations 
PageRank 
References 
0
0.34
1
Authors
3
Name
Order
Citations
PageRank
Carsten Kleiner17321.21
Felix Heine201.69
Bastian Fischer300.34