IDEAS home Printed from https://ideas.repec.org/a/dbk/multid/v2y2024ip209id1062486agmu2024209.html
   My bibliography  Save this article

Analysis of the construction of knowledge in connection with industry

Author

Listed:
  • Lievanos Zeltzin
  • Mabel Osnaya
  • José Antonio Jerónimo

Abstract

The term dual training is understood as a type of professional education, where the teaching-learning process takes place in two different places, school and industry (Zamora-Torres et al., 2020). The knowledge management model is approached through the conversion between tacit and explicit knowledge (I. Nonaka & Teece, 2001). The SECI model refers to a process of knowledge creation and transfer through four modes of knowledge conversion. When exploring current practices through a Likert-type scale that analyzed students' perception of knowledge management in a dual educational model, the results show significant differences in the perception of knowledge management between school-based and dual mode students, being more favorable for dual mode students in the factors of knowledge generation, application and tutoring. The factor analysis identified four key factors that explain 57.764% of the total variance with four factors: knowledge generation and application, knowledge sharing, knowledge acquisition and application, and content tutoring. When performing Student's t-test for independent samples of the factors with modality, even more significant differences were found, with a p-value=-2.822, sig=0.005.

Suggested Citation

Handle: RePEc:dbk:multid:v:2:y:2024:i::p:209:id:1062486agmu2024209
DOI: 10.62486/agmu2024209
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

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:dbk:multid:v:2:y:2024:i::p:209:id:1062486agmu2024209. 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: Javier Gonzalez-Argote (email available below). General contact details of provider: https://multidisciplinar.ageditor.uy/ .

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.