@article{3130,
  keywords = {Chatbot, e-learning, Interactive Interface, SQL, Technology Enhanced},
  author = {Antonio Balderas and Rubén Baena-Pérez and Tatiana Person and José Miguel Mota and Iván Ruiz-Rube},
  title = {Chatbot-Based Learning Platform for SQL Training},
  abstract = {Learning the SQL language for working with relational databases is a fundamental subject for future computer engineers. However, in distance learning contexts or unexpected situations like the COVID-19 pandemic, where students had to follow lectures remotely, they may find it hard to learn. Chatbots are software applications that aim to have conversations with people to help them solve problems or provide support in a specific domain. This paper proposes a chatbot-based learning platform to assist students in learning SQL. A case study has been conducted to evaluate the proposal, with undergraduate computer engineering students using the learning platform to perform SQL queries while being assisted by the chatbot. The results show evidence that students who used the chatbot performed better on the final SQL exam than those who did not. In addition, the research shows positive evidence of the benefits of using such learning platforms to support SQL teaching and learning for both students and lecturers: students use a platform that helps them self-regulate their learning process, while lecturers get interesting metrics on student performance.},
  year = {9998},
  journal = {International Journal of Interactive Multimedia and Artificial Intelligence},
  volume = {In Press},
  chapter = {1},
  number = {In Press},
  pages = {1-11},
  month = {05/2022},
  issn = {1989-1660},
  url = {https://www.ijimai.org/journal/sites/default/files/2022-05/ip2022_05_003.pdf},
  doi = {10.9781/ijimai.2022.05.003},
}