Automatic SQL query generation
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ARBABIFARD-MASTERSTHESIS-2017.pdf (4.57 MB)URI
Date
2017-07-19
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Authors
Arbabifard, Kamyar
Journal Title
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Volume Title
Publisher
East Carolina University
Abstract
Automatic generation of questions for learning assessment has been an area of research interest for long. The advent of Massive Open Online Courses (MOOCs) as well as the goal of providing immediate contextualized feedback to enhance student learning has created renewed interest in automatic question generation. This thesis motivates the automatic question generation problem, gives an overview of the current approaches, and describes the proposed novel approach to automatic generation of SQL queries using the notion of grammar graph.