Repository logo
 

Automatic SQL query generation

Loading...
Thumbnail Image

Files

URI

Date

2017-07-19

Access

Authors

Arbabifard, Kamyar

Journal Title

Journal ISSN

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.

Description

Citation

DOI