IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i5p558-d511683.html
   My bibliography  Save this article

Assessing the Impact of Attendance Modality on the Learning Performance of a Course on Machines and Mechanisms Theory

Author

Listed:
  • David Valiente

    (Communications Engineering Department, Miguel Hernández University, Av. de la Universidad s/n. Ed, Innova, 03202 Elche, Spain
    These authors contributed equally to this work.)

  • Héctor Campello-Vicente

    (Mechanics and Energy Department, Miguel Hernández University, Av. de la Universidad s/n. Ed, Innova, 03202 Elche, Spain
    These authors contributed equally to this work.)

  • Emilio Velasco-Sánchez

    (Mechanics and Energy Department, Miguel Hernández University, Av. de la Universidad s/n. Ed, Innova, 03202 Elche, Spain
    These authors contributed equally to this work.)

  • Fernando Rodríguez-Mas

    (Communications Engineering Department, Miguel Hernández University, Av. de la Universidad s/n. Ed, Innova, 03202 Elche, Spain
    These authors contributed equally to this work.)

  • Nuria Campillo-Davo

    (Mechanics and Energy Department, Miguel Hernández University, Av. de la Universidad s/n. Ed, Innova, 03202 Elche, Spain
    These authors contributed equally to this work.)

Abstract

University education approaches related to the field of science, technology, engineering and mathematics (STEM), have generally particularized on teaching activity and learning programs which are commonly understood as reoriented lessons that fuse theoretic concepts interweaved with practical activities. In this context, team work has been widely acknowledged as a means to conduct practical and hands-on lessons, and has been revealed to be successful in the achievement of exercise resolution and design tasks. Besides this, methodologies sustained by ICT resources such as online or blended approaches, have also reported numerous benefits for students’ active learning. However, such benefits have to be fully validated within the particular teaching context, which may facilitate student achievement to a greater or lesser extent. In this work, we analyze the impact of attendance modalities on the learning performance of a STEM-related course on “Machines and Mechanisms Theory”, in which practical lessons are tackled through a team work approach. The validity of the results is reinforced by group testing and statistical tests with a sample of 128 participants. Students were arranged in a test group (online attendance) and in a control group (face-to-face attendance) to proceed with team work during the practical lessons. Thus, the efficacy of distance and in situ methodologies is compared. Moreover, additional variables have also been compared according to the historical record of the course, in regards to previous academic years. Finally, students’ insights about the collaborative side of this program, self-knowledge and satisfaction with the proposal have also been reported by a custom questionnaire. The results demonstrate greater performance and satisfaction amongst participants in the face-to-face modality. Such a modality is prooven to be statistically significant for the final achievement of students in detriment to online attendance.

Suggested Citation

  • David Valiente & Héctor Campello-Vicente & Emilio Velasco-Sánchez & Fernando Rodríguez-Mas & Nuria Campillo-Davo, 2021. "Assessing the Impact of Attendance Modality on the Learning Performance of a Course on Machines and Mechanisms Theory," Mathematics, MDPI, vol. 9(5), pages 1-23, March.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:5:p:558-:d:511683
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/5/558/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/5/558/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Nikolić, Vlastimir & Petković, Dalibor & Denić, Nebojša & Milovančević, Miloš & Gavrilović, Snežana, 2019. "Appraisal and review of e-learning and ICT systems in teaching process," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 456-464.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:9:y:2021:i:5:p:558-:d:511683. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.