Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Computer-Aided Experiments (CAE)

A Study Regarding a Remote-Controlled Experiment, Video Analysis, and Simulation on Kinematics

Bibliographic Data

ID20296201
AuthorsThiago Costa Caetano (0000-0002-2304-487X, Universidade Federal de Itajubá), Camila Cardoso Moreira (0000-0001-8343-8494, Academic Research, Bhadram Educational Solutions, Itajubá, Brazil), Mikael Frank Rezende Junior (0000-0002-4622-1998, Universidade Federal de Itajubá)
Year2024
Volume67
Issue2
Pages245-255
Publication date2024-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueIEEE Transactions on Education (JOURNAL)
Journal identifiersISSN: 0018-9359 • E-ISSN: 1557-9638
PublisherInstitute of Electrical and Electronics Engineers (IEEE) (PUBLISHER)
DOI10.1109/te.2023.3349092
OpenAlexW4391741855
LanguageEN
Citations received1
References cited49

Contribution: This work seeks to ascertain the validity of a remote-controlled experiment of the Physics Remote Lab in the educational context, specifically among students from engineering courses. Background: In 2012, it has been started the development of the Physics Remote Lab at the Federal University of Itajubá, Brazil, a laboratory with a collection of didactical remote-controlled experiments. For a while since then, efforts have been directed mainly to technical matters and so, many questions regarding the effectiveness of these experiments as a teaching resource have not been satisfactorily answered yet. The restrictions imposed by the pandemic have provided suitable conditions to assess the effectiveness of this kind of resource. Research Questions: There are two points to be addressed. The first refers to whether remotely controlled experiments can be regarded as a valid didactical tool. The second seeks to ascertain the effectiveness of these digital objects in a very atypical scenario. Methodology: A pretest-intervention-posttest design was chosen, with three groups that totaled 145 students from engineering courses. The groups were submitted to interventions based on a remote-controlled experiment, video analysis, and simulation on kinematics. Nonparametric statistical tests were applied to check for biased groups and to compare the results before and after the intervention. Findings: The results show that all three interventions had a significant impact on the groups and the established I-index suggests that the effects were positive in all of them, despite the peculiar circumstances regarding the pandemic. Compared to other groups, the results for the remote-controlled experiment group showed that it can be as effective as a simulation or a video analysis and the students in this group achieved a better understanding of the concepts as compared to their performance on the pretest

Computer graphics (images) · Computer-aided engineering · Kinematics · Simulation · Software engineering · Biomedical and Engineering Education · Computer Science · Engineering Education and Pedagogy · Experimental Learning in Engineering

  • An Intelligent System for Online DC Motor Experiments in Engineering Education

    Open Access•Kaixing Hong, Shukai Luo et al.•IEEE Transactions on Education•2026

  • Remote sensing of night lights

    Open Access•Noam Levin, Christopher C M Kyba et al.•Remote Sensing of Environment•2020

  • The Impact of Covid-19 Pandemic on Education System in Developing Countries

    Open Access•Seble Tadesse, Worku Muluye•Open Journal of Social Sciences•2020

  • Computer Simulations to Support Science Instruction and Learning

    Lara K Smetana, Randy L Bell•International Journal of Science…•2012

  • The Kolmogorov-Smirnov Test for Goodness of Fit

    Frank J Massey•Journal of the American…•1951

  • Online Delivery of Teaching and Laboratory Practices

    Open Access•Kelum A A Gamage, Dilani I Wijesuriya et al.•Education Sciences•2020

  • Covid-19 pandemic and online learning

    Olasile Babatunde Adedoyin, Emrah Soykan•Interactive Learning Environments•2023

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae