Automatic SQL query generation
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| Title: | Automatic SQL query generation |
|---|---|
| Authors: | Arbabifard, Kamyar |
| Contributors: | Gudivada, Venkat N, Computer Science |
| Publisher Information: | East Carolina University |
| Publication Year: | 2017 |
| Collection: | East Carolina University: The ScholarShip at ECU |
| Subject Terms: | Personalized Learning, Question Generation, SQL (Computer program language), MOOCs (Web-based instruction), Educational evaluation |
| Description: | 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. |
| Document Type: | master thesis |
| File Description: | application/pdf |
| Language: | English |
| Relation: | http://hdl.handle.net/10342/6401 |
| Availability: | http://hdl.handle.net/10342/6401 |
| Accession Number: | edsbas.87EF884C |
| Database: | BASE |
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