IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-576-8_22.html

Development of Chatbot Learning Media C4 Integrated Retail Business Material to Improve Learning Outcomes

In: Proceedings of the 4th Business Innovation Sustainability and Technology International Conference (BISTIC 2024)

Author

Listed:
  • Eka Putri Surya

    (Universitas Negeri Malang)

  • Rachmad Hidayat

    (Universitas Negeri Malang)

Abstract

The retail business is an important industrial sector but requires a strong understanding of its concepts and strategies within the scope of formal vocational high school education. Innovative and effective learning media technology is needed to improve learning and improve student learning outcomes. The purpose of this study is to produce interactive Chatbot-based learning media on C4 integrated retail business material, determine the feasibility level of learning media, and determine the level of effectiveness of student learning outcomes. The method used is the Borg and Gall research and development model. The field trial subjects were 33 class XII BDP students at SMKN 1 Boyolangu. The results of the analysis of the validity of the media expert obtained a score of 92% and the results of the analysis of the validity of the material expert obtained a figure of 86.5% with a very valid category. The results of the analysis of student responses obtained 88% in the very easy category. The results of the effectiveness test show the value of Sig. 0.000

Suggested Citation

  • Eka Putri Surya & Rachmad Hidayat, 2024. "Development of Chatbot Learning Media C4 Integrated Retail Business Material to Improve Learning Outcomes," Advances in Economics, Business and Management Research, in: Ika Zutiasari & Dede Rusmana & Muhammad Fuad (ed.), Proceedings of the 4th Business Innovation Sustainability and Technology International Conference (BISTIC 2024), pages 252-262, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-576-8_22
    DOI: 10.2991/978-94-6463-576-8_22
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

    Statistics

    Access and download statistics

    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:spr:advbcp:978-94-6463-576-8_22. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.