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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationEDUNINE 2020 - 4th IEEE World Engineering Education Conference
Subtitle of host publicationThe Challenges of Education in Engineering, Computing and Technology without Exclusions: Innovation in the Era of the Industrial Revolution 4.0, Proceedings
EditorsClaudio da Rocha da Rocha Brito, Melary M. Ciampi
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728166384
DOIs
StatePublished - Mar 2020
Event4th IEEE World Engineering Education Conference, EDUNINE 2020 - Bogota, Colombia
Duration: 15 Mar 202018 Mar 2020

Publication series

NameEDUNINE 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

Conference

Conference4th IEEE World Engineering Education Conference, EDUNINE 2020
Country/TerritoryColombia
CityBogota
Period15/03/2018/03/20

Bibliographical note

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.

Keywords

  • Biotechnology
  • Computer Sciences
  • Expert system
  • Higher education.
  • Water quality

Fingerprint

Dive into the research topics of 'An educational rule-based expert system to determine water quality for environmental engineering and biotechnology students'. Together they form a unique fingerprint.

Cite this