IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v13y2021i2p27-d486177.html
   My bibliography  Save this article

Experiment Information System Based on an Online Virtual Laboratory

Author

Listed:
  • Chuanyan Hao

    (School of Education Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Anqi Zheng

    (School of Education Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Yuqi Wang

    (School of Education Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

  • Bo Jiang

    (School of Education Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210023, China)

Abstract

In the information age, MOOCs (Massive Open Online Courses), micro-classes, flipping classroom, and other blended teaching scenes have improved students learning outcomes. However, incorporating technologies into experimental courses, especially electronic and electrical experiments, has its own characteristics and difficulties. The focus of this paper is to introduce virtual technology into an electronic circuit experiment course and to explore its teaching strategy, thereby realizing the informatization of experiment teaching. First, this paper explores the design concepts and implementation details of the digital circuit virtual laboratory, which is then developed based on previous literature and a prequestionnaire to users. Second, the informatization process of the experiment learning model based on traditional custom lab benches is shown through a blended learning scheme that integrates the online virtual laboratory. Finally, the experiment information system is verified and analyzed with a control group experiment and questionnaires. The blended program turned out to be an effective teaching model to complement the deficiencies in existing physical laboratories. The research conclusions show that the virtual experiment system provides students with a rich, efficient, and expansive experimental experience, in particular, the flexibility, repeatability, and visual appeal of a virtual platform could promote the development of students’ abilities in active learning, reflective thinking, and creativity.

Suggested Citation

  • Chuanyan Hao & Anqi Zheng & Yuqi Wang & Bo Jiang, 2021. "Experiment Information System Based on an Online Virtual Laboratory," Future Internet, MDPI, vol. 13(2), pages 1-19, January.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:2:p:27-:d:486177
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/13/2/27/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1999-5903/13/2/27/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bo Jiang & Yanbai He & Rui Chen & Chuanyan Hao & Sijiang Liu & Gangyao Zhang, 2020. "Progressive Teaching Improvement For Small Scale Learning: A Case Study in China," Future Internet, MDPI, vol. 12(8), pages 1-15, August.
    2. George Albert Florea & Radu-Casian Mihailescu, 2020. "Multimodal Deep Learning for Group Activity Recognition in Smart Office Environments," Future Internet, MDPI, vol. 12(8), pages 1-13, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Juan Roberto López Gutiérrez & Pedro Ponce & Arturo Molina, 2021. "Real-Time Power Electronics Laboratory to Strengthen Distance Learning Engineering Education on Smart Grids and Microgrids," Future Internet, MDPI, vol. 13(9), pages 1-16, September.

    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.
    1. Kerang Cao & Jingyu Gao & Kwang-nam Choi & Lini Duan, 2020. "Learning a Hierarchical Global Attention for Image Classification," Future Internet, MDPI, vol. 12(11), pages 1-11, October.

    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:jftint:v:13:y:2021:i:2:p:27-:d:486177. 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.