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Enregistrement W99278197 · doi:10.21427/d7rk5s

An Exploration of RPL (Recognition of Prior Learning) in Companies and Organisations in Ireland Valorisation, Return on Investment, and Emerging Trends

2011· article· en· W99278197 sur OpenAlexfundno aff
Katherine Collins

Notice bibliographique

RevueARROW@Dublin Institute of Technology (Dublin Institute of Technology) · 2011
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueHigher Education Learning Practices
Établissements canadiensnon disponible
Organismes subventionnairesHigher Education AuthorityWaterford Institute of TechnologyIrish Research CouncilEuropean CommissionIrish Research Council for the Humanities and Social SciencesStrategic Innovation FundTechnological University DublinUnited Nations Educational, Scientific and Cultural Organization
Mots-clésValorisationInvestment (military)BusinessOperations managementEngineeringPolitical scienceWaste management

Résumé

récupéré en direct d'OpenAlex

This thesis explored the topic of recognition of prior learning (RPL) in companies and organisations in Ireland against a backdrop of global, European, and national policy initiatives on the recognition of all forms of formal, non-formal and informal learning. The immediate context was coloured by shifts in employment, in labour markets, and in education and training policies because of increasing economic difficulties globally, and the greater levels of attention being paid to the role of education and training in the economic and social development of a country. The primary research question for the thesis was: Is there a return on investment from the recognition of prior learning (RPL) to companies and organisations that use RPL in their learning and development strategies? Return on investment in this research was conceived as achievement of impact at a societal, organisational, and individual level. The research approach was broadly social constructionist and interpretative. It took a multiperspective approach to explore past, current, and future perspectives of RPL in companies and organisations. There were three methodological strands of inquiry employed in the thesis. The first was an historical study to analyse previous RPL projects using a framework of valorisation. The second was a comparative analysis of RPL case studies in sixteen companies, professional bodies, training bodies, and community organisations. The third and final was a Delphi Future-Oriented Survey with experts in the areas of higher education, further education, workplace learning, vocational education, educational policy, and industry. The research findings indicated that initially RPL suffered from efforts to reconcile perceptions of ‘traditional’ learning as the sole route to achieve a qualification with the RPL route. In current practice RPL in companies and organisations is concerned with engaging with, rewarding and recognising the services of its employees. RPL is also considered a means to address continuing professional development needs without recourse to ‘training’. Finally, RPL is a means to link national, sectoral, and organisational training and qualifications systems to validate and professionalise company training and provide the potential for occupational mobility. From a policy perspective return on investment from RPL is concerned with labour mobility, social inclusion, improved individual career prospects, employee morale, and alternate pathways to qualifications. In practice labour mobility and social inclusion were not high on company or organisational agendas. This thesis finds that drives for economic competitiveness and up-skilling of the labour force in conjunction with economic difficulties have prioritised accredited employee development initiatives which are tied to national and sectoral qualifications frameworks. RPL development in companies and organisations is linked to these drives particularly as a means of employee engagement within the context of continuing professional development (CPD) rather than the annual evaluation process. It is therefore suggested, on the basis of the research findings, that companies and organisations should consider re-conceptualising CPD using RPL to achieve employee engagement.

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)0,010
score de la tête « metaresearch » (Gemma)0,018
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,038
Score d'incertitude au seuil0,159

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,018
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0030,004
Études des sciences et des technologies0,0030,008
Communication savante0,0120,008
Science ouverte0,0020,009
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,068
Tête enseignante GPT0,337
Écart entre enseignants0,270 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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

Citations2
Publié2011
Routes d'admission1
Résumé présentoui

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