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The need for Open Educational Practices policies to transform Australian higher education

2017· article· en· W2745795299 sur OpenAlexaboutno aff
Carina Bossu, Adrian Stagg

Notice bibliographique

RevueeCite Digital Repository (University of Tasmania) · 2017
Typearticle
Langueen
DomaineComputer Science
ThématiqueOpen Education and E-Learning
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésGovernment (linguistics)Open governmentPublic relationsLicenseLeverage (statistics)Political scienceOpen dataPublicationBusinessOpen educationCitizen journalismHigher educationPublic administrationEconomic growthEconomicsSociologyPedagogy
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Open Educational Practices (OEP) have been playing an important role in assisting higher education sectors and governments worldwide to meet their current and future educational targets in widening participation, lowering costs, improving the quality of learning and teaching and promoting social inclusion and participatory democracy. However, OEP is a relatively new approach to learning and teaching and therefore many questions regarding how to adequately support OEP remain unanswered. In order to pilot and leverage OEP initiatives, many countries have attempted to trial, develop, and implement educational policies that incorporate and recognise OEP activities and programs. In Australia, there have been some important OEP developments across the higher education sector. Following an international push for opening up education and the growing number of OEP initiatives worldwide, some universities in Australia have embarked on the this journey via various institutional and collaborative projects, as well as through government funded ones. In less than a decade, the scope of OEP in higher education in Australia has expanded, influencing learning and teaching. There have also been some developments at government level. These federal initiatives have been mostly focused on encouraging government agencies to adopt open source software and to publish government documents and reports under an open license. There is also a strong emphasis on making available publically funded research outputs and data through open access. Today, most Australian universities have an open access repository where research data and outputs from government funded projects are made available, typically using open licenses, including Creative Common licenses. In addition, major research funding bodies have also responded positively to the government position on open access and have encouraged these practices through their own regulations (Picasso & Phelan, 2014). These developments at the national level have certainly advanced open access in Australia. These initiatives are equivalent to other global open access practices, notably those in the UK, the US, Canada and across the European Union. Unfortunately, these Australian federal initiatives are not focused on increasing access to education and educational resources. Currently, Australia does not have a specific program, framework, policy or regulation that supports the adoption of open educational resources and practices in higher education (Bossu, Brown, & Bull, 2014). Meanwhile, in the countries mentioned above, open access policies have evolved to incorporate national policies and frameworks for OEP. Despite an articulated national priority focus, a small number of commissioned reports and research projects have been funded by the Australian Government Office for Learning and Teaching to investigate and develop OEP across the sector. These have included the 2016 Higher Education Standards in a Disaggregated Learning Environment Fellowship Report (http://www.olt.gov.au/resource-higher-education-standards-disaggregated-learning-environment), the Student, universities and open education project in 2015 (http://openedoz.org/), and the Adoption, use and management of Open Educational Resources to enhance teaching and learning in Australia published in 2014 (http://www.olt.gov.au/system/files/resources/CG10_1687_Bossu_Report_2014.pdf). All of these reports strongly lobby for OEP intervention, support, and policy development at national level. However, the Australian government has failed to commit to, or acknowledge the recommendations in educational policy, despite funding the research. This paper will further aggregate, discuss, and analyse existing research, documentation, policies and artefacts available nationally and internationally as an attempt to provide a framework in the form of a white paper. The paper will include policy recommendations for OEP implementation at national level in Australia. During the conference presentation, the authors will invite the audience and other potential stakeholders to initiate a Community of Practice in OEP that will actively promote, lobby, and recommend OEP developments in Australia.

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)0,043
score de la tête « metaresearch » (Gemma)0,102
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: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,996
Score d'incertitude au seuil0,229

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0430,102
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,003
Études des sciences et des technologies0,0070,016
Communication savante0,0190,026
Science ouverte0,0040,024
Intégrité de la recherche0,0190,021
Charge utile insuffisante (le modèle a refusé de juger)0,0240,004

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 Opus0,042
Tête enseignante GPT0,310
Écart entre enseignants0,268 · 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'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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