IDEAS home Printed from https://ideas.repec.org/a/taf/oabmxx/v11y2024i1p2299075.html
   My bibliography  Save this article

Effectiveness of social robots as a tutoring and learning companion: a bibliometric analysis

Author

Listed:
  • Rashmi Yogesh Pai
  • Ankitha Shetty
  • Tantri Keerthi Dinesh
  • Adithya D. Shetty
  • Namrata Pillai

Abstract

A long-term perspective on how technology will mature is needed whereby robotics and artificial intelligence (AI) have accomplished a consequential and remarkable impact by finding their way into mainstream higher education. Robots have already become an indispensable factor in society and possess high potency as a part of educational technology. Social robot education is limited to complementing the digital aptitude of students in the world of information, and the role of social robots is crucial in polishing students ‘cognitive and social abilities. This study reviews the effectiveness of social robots in education, where we highlight the application of educational robots, surrounded by a blend of social robots and enactive didactics, which could lead to promising ideas for tutoring activities in education. It is empirically proven that social robots can assist with literature, science, or technology education. We synthesize the role of social robots in education and weigh their pros and cons by examining the impact of their appearance on robots’ performance as tutors, tools, or peers in learning exercises. The current study is the first bibliometric analysis that reflects robots’ impact in the education field as tutors and learning companions. A total of 288 articles were reviewed, and the data were extracted to construct an overview through bibliometrics. The outcome of this study paves the way for educational institutes to make informed and fruitful decisions on the applicability of robots, which can help them comprehend the learning styles of students and create knowledgeable and well-adjusted learners.

Suggested Citation

  • Rashmi Yogesh Pai & Ankitha Shetty & Tantri Keerthi Dinesh & Adithya D. Shetty & Namrata Pillai, 2024. "Effectiveness of social robots as a tutoring and learning companion: a bibliometric analysis," Cogent Business & Management, Taylor & Francis Journals, vol. 11(1), pages 2299075-229, December.
  • Handle: RePEc:taf:oabmxx:v:11:y:2024:i:1:p:2299075
    DOI: 10.1080/23311975.2023.2299075
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/23311975.2023.2299075
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/23311975.2023.2299075?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:oabmxx:v:11:y:2024:i:1:p:2299075. 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: Chris Longhurst (email available below). General contact details of provider: http://cogentoa.tandfonline.com/OABM20 .

    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.