An educational rule-based expert system to determine water quality for environmental engineering and biotechnology students

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Resumen

According to the latest estimates of the World Health organization (WHO), 842000 people die each year from diarrhea as a result of unsafe drinking-water as well as the lack of sanitation and hand hygiene. Therefore, it is essential to develop skills to determine water quality according to local and international standards. This situation becomes a critic issue in students of environmental engineering and biotechnology careers. For these reasons, in this paper, we present an educational tool aimed at supporting the training process related to water quality determination and measurement in these students. Our system relies on a rules-based reasoning module and interactive web and mobile interfaces that provide several guidelines for students. We tested the tool with 37 students, and the obtained results show high levels of acceptance as well as an index of 0.87 on Cronbach's alpha.

Idioma originalInglés
Título de la publicación alojadaEDUNINE 2020 - 4th IEEE World Engineering Education Conference
Subtítulo de la publicación alojadaThe Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings
EditoresClaudio da Rocha da Rocha Brito, Melary M. Ciampi
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728166384
DOI
EstadoPublicada - mar 2020
Evento4th IEEE World Engineering Education Conference, EDUNINE 2020 - Bogota, Colombia
Duración: 15 mar 202018 mar 2020

Serie de la publicación

NombreEDUNINE 2020 - 4th IEEE World Engineering Education Conference: The Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings

Conferencia

Conferencia4th IEEE World Engineering Education Conference, EDUNINE 2020
País/TerritorioColombia
CiudadBogota
Período15/03/2018/03/20

Nota bibliográfica

Funding Information:
This work was funded by the Cátedra UNESCO Tecnologías de Apoyo para la Inclusión Educativa and the research project “Sistemas Inteligentes de Soporte a la Educación Especial (SINSAE v5)” of the Universidad Politécnica Salesiana.

Publisher Copyright:
© 2020 IEEE.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

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