network accreditation: a distributed accreditation system for lifelong learning
Clicks: 210
ID: 247224
2017
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
30.0
/100
210 views
28 readers
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #5 of 9 articles by views in journal of clinical neuroscience
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Continuing education involves learning activities that are usually carried out after traditionally regulated training. A growth of educational offer has spread throughout the world in the form of courses, diplomas, degrees and other types of study programs.
Despite the increasing importance and the offer of continuing education programs, accreditation processes have been restricted to traditional formal education. Accreditation processes are characterized by a centralized accreditation system led by a national government authority. However, this type of accreditation is difficult to effectively implement in continuing education programs.
In this contribution, we present and analyze a network accreditation system (SAR) designed to accredit the quality of continuing education programs. This accreditation system contrasts with the existing "centralized" systems, because it is a "distributed" system, inspired by the system by which the international scientific community validates research articles, i.e. the "peer review". In this work we describe this system, we analyze its theoretical foundations, its potential advantages and disadvantages, and the experiences of its application in a first prototype.
| Reference Key |
razeto-barry2017innoeducanetwork
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Pablo Razeto-Barry;Tomás Veloz Gonzalez;Christian Blanco |
| Journal | journal of clinical neuroscience |
| Year | 2017 |
| DOI |
10.24310/innoeduca.2017.v3i2.3057
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.