Low-cost and high-precision labs to promote active learning in online learning environments

Jose Ignacio Huertas, Patricia Vázquez-Villegas, Jenny Díaz Ramírez, Santa Tejeda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

COVID-19 forced online learning at all levels. It raised a problem for the teaching of engineering classes where laboratory work is essential for the learning process. To address this problem, we used the current capabilities of cell phones, visual processing software, and social networks to design a set of lab activities that could be reproduced at home by each student at a low cost. We developed an exploratory study where we implemented one of those lab activities in a physics course and investigated the impact of this activity on the learning gain of students. We implemented the activity in a large group of students (69) and compared with a control group of students (12) that did not participate in the activity in order to evaluate the knowledge gained by the participants. Results showed that students that carried out our proposed lab activity increased their learning gain (20%) and obtained better scores in their knowledge tests (76.98 ± 3.21 pre-test versus 92.56 ± 3.18 post-test).
Original languageEnglish
Title of host publication2020 IEEE ANDESCON, ANDESCON 2020
PublisherIEEE Canada
Pages1
Number of pages6
ISBN (Electronic)978-1-7281-9365-6
ISBN (Print)978-1-7281-9366-3
DOIs
Publication statusPublished - 13 Oct 2020
EventIEEE ANDESCON 2020: Technology and Innovation - Quito, Ecuador
Duration: 13 Oct 202016 Oct 2020
https://attend.ieee.org/andescon/

Publication series

Name2020 IEEE ANDESCON, ANDESCON 2020

Conference

ConferenceIEEE ANDESCON 2020
Country/TerritoryEcuador
CityQuito
Period13/10/2016/10/20
Internet address

Bibliographical note

Funding Information:
The authors would like to acknowledge the technical support of Writing Lab, TecLabs, and the financial support of NOVUS 2019, ID N19120, an initiative of Tecnologico de Monterrey, Mexico, in the production of this work. Students David Mastrascusa, Regina Mijares, Juan Pablo Jiménez and Allan Martinez, are also acknowledged for their help during the investigation

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Science Applications
  • Energy Engineering and Power Technology
  • Biomedical Engineering
  • Electrical and Electronic Engineering
  • Control and Optimization
  • Geography, Planning and Development
  • Transportation

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