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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
Popis
Abstrakt: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.