Automatic SQL query generation
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| Název: | Automatic SQL query generation |
|---|---|
| Autoři: | Arbabifard, Kamyar |
| Přispěvatelé: | Gudivada, Venkat N, Computer Science |
| Informace o vydavateli: | East Carolina University |
| Rok vydání: | 2017 |
| Sbírka: | East Carolina University: The ScholarShip at ECU |
| Témata: | Personalized Learning, Question Generation, SQL (Computer program language), MOOCs (Web-based instruction), Educational evaluation |
| Popis: | 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. |
| Druh dokumentu: | master thesis |
| Popis souboru: | application/pdf |
| Jazyk: | English |
| Relation: | http://hdl.handle.net/10342/6401 |
| Dostupnost: | http://hdl.handle.net/10342/6401 |
| Přístupové číslo: | edsbas.87EF884C |
| Databáze: | BASE |
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