Mapping the use of ePortfolios for RPL in Australia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Recognition of prior learning (RPL) was first introduced in Australia in 1992 as part of the national framework for the recognition of training (NFROT). It has become an embedded in the Australian Qualifications Framework (AQF) and since then has slowly become a central activity within post compulsory education and training. Today RPL has become a significant activity within the vocational education and training (VET) sector when compared to other post compulsory educational sectors. This can be partially explained by the fact that RPL is mandatory in the VET sector, unlike the higher education (HE) sector which is self-accrediting and has a certain amount of autonomy in deciding whether or not to adopt RPL policy. RPL is also a significant activity outside the education sector and impacts on broader human capital and workforce development policy and initiatives. The aim of this paper is to map the application of ePortfolios and mobile web devices for the recognition of prior learning as a new and emergent area of practice. In particular the use of ePortfolios and RPL for the recognition of work based skills and professional recognition will be explored. The research conducted is exploratory and involves a content analysis of several secondary data sources including: papers from the 2009 and 2010 Australian ePortfolio Conferences; funded RPL projects through the Australian Flexible Learning Framework- 009-2011; and conference papers form the Australian Vocational Education Training Research Association (AVETRA). It is envisaged the research will be expanded to international developments in the same areas and will use the Prior Learning International Research Centre (PLIRC) based at Thompson Rivers University in BC, Canada, as a major conduit to the research. PLIRC comprises a group of international scholars in the field of RPL. The centre has been developing an international research agenda for RPL since June 2009 and it is hoped this research will form part of that future international research agenda.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it