MétaCan
Menu
Retour à la cohorte
Enregistrement W2769127449 · doi:10.19173/irrodl.v18i7.3541

Special Report on the Role of Open Educational Resources in Supporting the Sustainable Development Goal 4: Quality Education Challenges and Opportunities

2017· article· en· W2769127449 sur OpenAlexafffundvenueabout
Rory McGreal

Notice bibliographique

RevueThe International Review of Research in Open and Distributed Learning · 2017
Typearticle
Langueen
DomaineComputer Science
ThématiqueOpen Education and E-Learning
Établissements canadiensAthabasca University
Organismes subventionnairesMinistry of Advanced EducationAthabasca University
Mots-clésOpen educational resourcesOpen educationSustainable developmentQuality (philosophy)Educational technologyGoal settingGoal orientationKnowledge managementEducational resourcesDistance educationComputer scienceProcess managementPsychologyPedagogyBusinessPolitical science

Résumé

récupéré en direct d'OpenAlex

Quality Education: Role/Contribution of OEROpen Educational Resources (OER) and their offspring, Massive Open Online Courses (MOOCs), are becoming important factors in achieving the Sustainable Development Goal 4: Quality Education (SDG4).This was recognised early on by UNESCO in 2004 when they first coined the term "Open Educational Resources" and in 2012 with the OER Paris Declaration.UNESCO is continuing its support of OER with the 2 nd OER Summit in September 2017.There is recognition that OER and MOOCs, while not being the solution to the world's educational crises, will play an important, if not essential, role.The OER movement is less than 15 years old and is growing rapidly as more and more nations and institutions adopt the view that publicly-funded research and educational content belongs to the people and should therefore be open and accessible to them.Canada can play an important role in supporting SDG4 by increasing its support for OER and open education in general, both in Canada and abroad.It is reasonable to argue that OER can greatly benefit developing countries, even more so than those that are considered developed.As such, they can play an important transformative role in supporting the SDG4 goal.OER can be used to increase access to learning for those living in unfavourable circumstances, and can also be used to address issues of cost, quality, and equity.They are free of licensing restrictions that inhibit quality improvements and because they are openly available, OER can facilitate both internal and external collaborations among instructors and institutions, both locally and internationally, while ensuring equitable access to knowledge and learning.OER are presently being actively used in all sectors of education including literacy, vocational, and adult education, as well as with immigrants and refugees (with prior learning assessment and recognition).OER can be instrumental in improving the quality of Special Report on the Role of Open Educational Resources in Supporting the Sustainable Development Goal 4 McGreal 293 education through open curriculum development.And, most importantly, OER are digital; the world economy is digital and students must learn how to work (and play) in digital environments.Because OER can be reproduced at virtually no cost, they can be effectively used to reach vast numbers of learners, while supporting quality enhancements.As well, since they can be reused, revised, remixed, redistributed, and retained, OER can be adapted to different learning environments (Wiley, 2014).It was UNESCO that first used the term open educational resources, defining them as "teaching, learning or research materials that are in the public domain or released with an intellectual property license that allows for free use, adaptation, and distribution" (UNESCO, 2002, par.2).The UNESCO Paris Declaration of 2012 followed, supporting OER for development and recommending that educational materials developed with public funds be made available under open licenses (UNESCO, 2012).Additionally, because OER are open, they can be translated into different languages and localised to meet the needs of different countries, regions, institutions, and learners (Butcher, Kanwar, & Uvalic-Trubic, 2015).OER, as content, are free of cost to learners and teachers.However, there are other costs that must be taken into account, including the salaries and time of the OER creators/adapters/assemblers.These costs can be significantly reduced by sharing OER with other institutions.For example, an institution, rather than creating its own course material, can choose to make use of OER that have been created by others, thus saving the cost of content creation; however, there still may be costs for searching/finding, assembling, and adapting the content.In addition, an appropriate technological infrastructure needs to be in place with access to adequate bandwidth and wifi, as well as trained support staff.(Please note that these costs are the same when using commercial content.)Furthermore, the cost of commercial textbooks is becoming a greater problem as the prices are all too often increasing beyond the ability of students to pay for them.As a result, there has been rapid growth in the number of learners internationally, who cannot afford the high cost of textbooks.The advantage of OER is that they are cost-free and can be adapted freely.The ability to adapt and modify content is an important advantage, especially when targeting specific populations such as those with disabilities or special needs. Indigenous KnowledgeOER can also be used to preserve and distribute Indigenous knowledge, which is being supported now in many countries.OER can be used to support the "participatory principle" that is common in many Indigenous communities, as well as preserving and distributing Indigenous knowledge that has traditionally been open.Indigenous knowledge is seen as belonging to the community as a whole and like OER, it can be continually enhanced and expressed in many forms such as in stories, dance, songs, and through the wisdom of elders.Sharing is conducted through personal interactions among the community/kinship or religious groups (Bertini, 2010). Maskwacis First Nation Cultural CollegeAs a Canadian example, in Alberta, the Chair has worked with this college to introduce them to OER.They received funding from the Ministry of Advanced Education for the development of Indigenous content

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,009
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesScience ouverte
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: aucune
Score de désaccord entre enseignants0,997
Score d'incertitude au seuil0,100

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0090,015
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,003
Études des sciences et des technologies0,0020,001
Communication savante0,0060,005
Science ouverte0,0030,006
Intégrité de la recherche0,0060,007
Charge utile insuffisante (le modèle a refusé de juger)0,0300,010

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,179
Tête enseignante GPT0,475
Écart entre enseignants0,296 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations93
Publié2017
Routes d'admission4
Résumé présentoui

Explorer davantage

Même revueThe International Review of Research in Open and Distributed LearningMême sujetOpen Education and E-LearningTravaux en français237 207