IDEAS home Printed from https://ideas.repec.org/a/ajp/edwast/v9y2025i3p951-963id5386.html
   My bibliography  Save this article

Qualitative analysis of the hypnolearning model in mandarin subjects through smartphones

Author

Listed:
  • David Darwin
  • Endry Boeriswati
  • Samsi Setiadi

Abstract

This study aims to analyze the implementation of the hypnolearning model in learning Mandarin through smartphone-based applications at Darma Persada University. Using a qualitative approach, data were collected through semi-structured interviews, direct observation, and document analysis. Data analysis was conducted using NVivo 12 software to identify key themes and patterns. The findings indicate that the hypnolearning method effectively enhances students' concentration, memory retention, and understanding of Mandarin characters and tonal pronunciation. Smartphones provide accessibility, flexibility, and interactivity, facilitating learning outside the classroom. Major challenges, such as difficulties in memorizing characters and learning anxiety, are addressed through application features such as relaxation techniques, positive suggestions, and interactive exercises. This study also emphasizes the need for developing application features, training for educators, and collaboration between educational institutions and technology developers to expand access to this method. Recommendations include incorporating gamification, personalized learning, and artificial intelligence (AI) integration to improve the application's effectiveness. The study offers new insights into integrating hypnolearning methods and digital technology, highlighting the potential for innovation in language learning. These findings are particularly relevant for improving the learning experience of complex languages such as Mandarin.

Suggested Citation

  • David Darwin & Endry Boeriswati & Samsi Setiadi, 2025. "Qualitative analysis of the hypnolearning model in mandarin subjects through smartphones," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(3), pages 951-963.
  • Handle: RePEc:ajp:edwast:v:9:y:2025:i:3:p:951-963:id:5386
    as

    Download full text from publisher

    File URL: https://learning-gate.com/index.php/2576-8484/article/view/5386/1963
    Download Restriction: no
    ---><---

    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:ajp:edwast:v:9:y:2025:i:3:p:951-963:id:5386. 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: Melissa Fernandes (email available below). General contact details of provider: https://learning-gate.com/index.php/2576-8484/ .

    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.