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Record W2745795299

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

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

Bibliographic record

VenueeCite Digital Repository (University of Tasmania) · 2017
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Open governmentPublic relationsLicenseLeverage (statistics)Political scienceOpen dataPublicationBusinessOpen educationCitizen journalismHigher educationPublic administrationEconomic growthEconomicsSociologyPedagogy
DOInot available

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.043
metaresearch head score (Gemma)0.102
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.229

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0430.102
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.003
Science and technology studies0.0070.016
Scholarly communication0.0190.026
Open science0.0040.024
Research integrity0.0190.021
Insufficient payload (model declined to judge)0.0240.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.310
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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