Open educational resources for research training: quality assurance through a collaborative evaluation

Open educational resources for research training: quality assurance through a collaborative evaluation

Marín, Victoria I.;Orellana, Martha Lucía;Peré, Nancy;
research in learning technology 2019 Vol. 27 pp. 1-18
280
marn2019openresearch

Abstract

Although it is considered that open educational resources offer vast pedagogical opportunities for any educational context, there have been only few studies so far that have linked their use or application in the field of research training, and even less works that have addressed their quality assurance for that context. As part of an inter-institutional project, the main aim of this article is the collaborative selection and evaluation of appropriate educational resources for research training. The mixed method approach of the article includes needs’ analysis of researchers in training through questionnaires and interviews. This was the starting point for the collaborative evaluation of educational resources using the agreed common criteria derived from the Learning Object Review Instrument (LORI) evaluation instrument. This article suggests recommendations regarding the collaborative evaluation of educational resources and the use of LORI, and suggestions for creators of educational resources for research training to facilitate the quality assurance of their materials. A website is being developed to bind together the resources that have met the quality criteria established in collaborative evaluation.

Citation

ID: 84155
Ref Key: marn2019openresearch
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
84155
Unique Identifier:
51cd85a88a1ae1148c0dd1c3e89aec5a
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet