@misc{10498/28891,
year = {2023},
month = {5},
url = {http://hdl.handle.net/10498/28891},
abstract = {SQL is a key programming language for data scientists, but its learning is sometimes challenging, especially if the learner does not have a proper computer science background. This article introduces ChatbotSQL, a conversational agent that aims to support the autonomous learning of the SQL language for database querying. ChatbotSQL proposes exercises and guides about the steps to be taken by the learner in case of doubts, providing customised feedback. ChatbotSQL has been created on top of IBM Watson Assistant and is available in a web platform. Students in a higher education database subject used ChatbotSQL extensively, showing a positive perception of its usefulness in supporting the resolution of complex queries},
organization = {This paper is part of the R&D project CREPES (ref. PID2020-115844RB-I00), funded by MCIN/AEI/10.13039/501100011033/. It is also partially granted by the ``EMERGIA'' programme, funded by the Junta de Andalucia through the grant EMC21_004171.},
publisher = {Elsevier},
keywords = {Conversational agent},
keywords = {Data scientists},
keywords = {Databases},
keywords = {SQL},
title = {ChatbotSQL: Conversational agent to support relational database query language learning},
doi = {10.1016/j.softx.2023.101346},
author = {Pérez-Mercado, Rubén and Balderas Alberico, Antonio and Muñoz Ortega, Andrés and Cabrera Sánchez, Juan Francisco and Palomo Duarte, Manuel and Dodero Beardo, Juan Manuel},
}