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Enregistrement W2273424303

Supporting Skill-Development Through the Creation of Learning Aids Over the Professional Life Course

2004· article· en· W2273424303 sur OpenAlexaff
Pierre‐Sébastien Fournier

Notice bibliographique

RevueSSRN Electronic Journal · 2004
Typearticle
Langueen
DomaineEngineering
ThématiqueDigital Transformation in Industry
Établissements canadiensUniversité Laval
Organismes subventionnairesnon disponible
Mots-clésCourse (navigation)Life course approachProfessional developmentPsychologyMedical educationMathematics educationPedagogyEngineeringDevelopmental psychologyMedicine
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the transformation context of work and of production methods, training plays a strategic role in the management of work efficiency and safety. However, training and human resource specialists run into a persistent gap between training and work reality, and this gap affects the successful application of training knowledge in the workplace itself. The exploration of new ways of bringing together training and the work environment in a balanced relationship is required. This article explores such tools through a reflection concerning the development of a planning model whose aim it is to enrich an initial training program for truck drivers by taking into account the reality of work itself.Three approaches that formulate the problem of training creation have been identified: one approach using human resource competencies, an approach with the transfer of training knowledge, and a third approach with the creation of action situations in the course of life. The study of these approaches makes it possible to define the nature and the means of intervention in training as linked to work reality. In the first approach, training is a tool that makes it possible to channel skills towards the company’s goals and strategies. This approach is based on the needs analysis of the organization as a prerequisite to determining desired behaviours in practice. The second approach asks about favourable conditions and of the means to ensure the application, in the work situation, of the knowledge learned. Finally, for the third approach, which is the one we favour, the problem of training and of practice is based on the problem of knowledge required to confront life situations. This approach sets out to facilitate learning in professional life course situations through the setting up of consistent sets of conditions conducive to learning. Training becomes one aid to learning among others. The course of life is defined as the ongoing process of constructing knowledge through action in life situations. The learning built up in this way makes up an individual’s knowledge base and is inseparable from his life experience. Any human action is a manifestation of prior life experience and also a transformation of this experience in the situation encountered.Using this approach makes it necessary, as a prerequisite, to document this life course reality from the perspective of human activity as a learning process. We have identified three trends: the situated learning approach, the praxeology trend, and the activity analysis approach. These share three beliefs on human activity: (1) knowledge is integrated into the action process, and is difficult to put into words; (2) to have access to practice content, it is necessary to have specific conditions which place the action process as the focus of the analysis; (3) the practice analysis requires that the actor be assisted in his reflection process by an outside person. In light of these approaches, we conducted a participative observation of the initial training of a truck driver as well as an analysis of the driver’s work activity.This qualitative approach enables us to have a very detailed comprehension of the activity of the learner undergoing training, and of the activity of the truck driver at work, in order to help him in his life course. Although our analysis identifies several aspects of the activity and of the underlying competencies, this reflection is limited here to the characteristics of the mechanical state management performed by the truck driver.The analysis of the learner’s training activity reveals learning oriented towards the integration of a standardized method to verify components covered by regulations. In this context, the learner’s focus is to follow as faithfully as possible the procedure learned, without forgetting the various steps. The analysis also reveals the more or less conscious use of knowledge as to the mechanical functioning of vehicles in the application of these verifications. From these characteristics of the training activity there emerge several difficulties on the level of the use of prior experiences in the carrying out of the training and in terms of the preparation for confronting the reality of work.The analysis of the truck driver’s activity when managing the mechanical state brings to light a reality very different from that learned in training. This management is characterized by three categories of action on the part of the truck driver: (1) characterize the various mechanical components and define the conditions of use as a function of the work to be done; (2) follow the dynamic process of the truck’s components and (3) act on the transformation process of the truck’s dynamic change. Thus, the work activity reveals the dynamic aspect of the mechanical state in the course of work, and brings out the importance of a continuous follow up of these transformations. From this point of view, the verification before departure is not a goal in itself but rather a characterization step of the truck within an ongoing process during work.From these results of the training activity analysis and of the work activity emerge several possible directions for recommendations on conditions for carrying out the training activity of learners, on training content, and on the conditions of carrying out the work of truck drivers. The content of these recommendations concerns training but also the setting up of technical tools and organizational adjustments which could be an aid to action and to learning in the truck driver’s professional life course. In light of these results, a model to plan training was set up. This model proposes to set up tools that can assist individuals to act and to learn in life situations. From this perspective, this model attempts to intervene both on the training level and also on the level of the work situation, seen as situations in the professional life course. The training situation intervention implies acting in two ways. First, it proposes actions upon the conditions of carrying out training. This requires the documentation of the training activity. Secondly, it proposes actions upon the training content as an aid to help the learner successfully deal with the reality of work. This second aspect also presupposes knowledge of the training activity but also of the truck driver’s work activity. Intervention in the work situation means helping the worker to act in a safe and efficient manner by means of his action situations. These interventions imply previous understanding of his work reality.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,654
Score d'incertitude au seuil0,816

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,008
Tête enseignante GPT0,266
Écart entre enseignants0,259 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
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
Publié2004
Routes d'admission1
Résumé présentoui

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