La signification expérientielle et les facteurs qui influencent la qualité de vie au travail des cadres gestionnaires infirmiers de premier niveau œuvrant en établissements de santé

Au cours des trois dernières décennies, le travail quotidien des cadres gestionnaires infirmiers de premier niveau (CGIPN) a subi de profondes transformations quant aux rôles qu’ils occupent et aux responsabilités qui leur incombent dans les divers établissements de santé. Ces CGIPN vivent et subissent de la pression au regard de leur charge de travail, faisant en sorte qu’ils perçoivent avoir peu de temps pour réaliser adéquatement leur travail en gestion, et que plusieurs infirmières de la relève qui souhaitent faire carrière en gestion se questionnent sur la possibilité d’œuvrer dans ce domaine de la pratique. Peu d’études portent sur l’état de la qualité de vie au travail (QVT) chez ces professionnels. Divisé en trois volets, le projet de recherche mixte séquentielle exploratoire a pour objectif général d’explorer la QVT chez les CGIPN et les facteurs qui l’influencent dans les divers établissements de santé québécois. Les objectifs spécifiques visent à : 1) décrire et comprendre ce que signifie la QVT auprès des 14 CGIPN œuvrant en Centre hospitalier affilié (CHA) à l’Université, 2) décrire et comprendre ce que signifie l’absence d’une QVT auprès des CGIPN en CHA, 3) développer et valider un nouvel instrument de mesure des facteurs favorables et défavorables pouvant influer sur la QVT à partir des données qualitatives auprès de CGIPN (n= 11) œuvrant en Centre de santé et des services sociaux et de CGIPN (n= 11) en Centre hospitalier universitaire, 4) identifier et mesurer les facteurs qui influencent la QVT des CGIPN (n= 291) travaillant dans divers établissements publics de santé et 5) déterminer si les caractéristiques sociodémographiques influencent le choix des facteurs de la QVT. Inspiré de la philosophie du Human caring de Watson comme perspective disciplinaire, le premier volet qualitatif fait appel à une méthode phénoménologique descriptive husserlienne. Pour ce faire, deux séries d’entretiens semi-dirigés à l’aide d’un guide d’entrevue visent à répondre aux deux premiers objectifs. Le second volet cible l’élaboration et la validation d’un instrument de mesure permettant de répondre au troisième objectif de la recherche et le dernier volet, de type quantitatif corrélationnel, s’applique à répondre aux deux derniers objectifs. Dans la première phase, l’analyse visuelle des données qualitatives (verbatim) permet l’émergence des résultats qualitatifs, soit de cinq eidos-thèmes favorables exprimés par les participants et décrits par ordre d’importance : 1) l’actualisation du leadership et des habiletés politiques pour l’amélioration de la qualité des soins infirmiers, 2) les éléments contextuels propices à l’humanisation organisationnelle, 3) le soutien organisationnel favorisant l’épanouissement socioprofessionnel et personnel, 4) l’organisation apprenante favorisant le développement des compétences en gestion des soins infirmiers et 5) l’accompagnement personnalisé répondant aux besoins spécifiques des novices en gestion des soins infirmiers. L’essence de la QVT pour les CGIPN se définit par l’émancipation socioprofessionnelle du cadre gestionnaire infirmier de premier niveau dans sa pratique clinico-administrative au sein d’une organisation humaniste. De plus, trois eidos-thèmes défavorables se dégagent des analyses qualitatives. Les résultats, décrits par ordre d’importance, sont : 1) la déshumanisation organisationnelle, 2) les conditions défavorables à la pratique en gestion des soins infirmiers et 3) l’accompagnement insuffisant des gestionnaires infirmiers novices. L’essence de l’absence d’une QVT pour les CGIPN se présente comme la dysharmonie au travail du cadre gestionnaire infirmier de premier niveau à l’intérieur d’une structure organisationnelle déshumanisante mettant en péril sa pratique clinico-administrative. Par la suite, une mise en relation des deux essences du phénomène a permis de faire émerger la signification universelle de l’expérience de la QVT et l’absence de celle-ci pour des CGIPN œuvrant en CHA comme étant : une dialectique en administration des services infirmiers dans laquelle se vit des pratiques humanisantes permettant l’atteinte d’un idéal de QVT, en coexistence avec des pratiques déshumanisantes conduisant à l’absence de QVT. Afin de respecter les postulats des méthodes quantitatives, les huit eidos-thèmes qui émergent de la première phase qualitative se transforment en facteurs favorables (FF) et défavorables (FD) à la QVT pour la réalisation des deuxième et troisième phases de la recherche. Dans la seconde phase, le construit théorique qui provient des huit eidos-thèmes et 23 thèmes permet de développer un nouvel instrument de mesure qui s’avère unique à cette population à l’étude. L’analyse psychométrique de l’instrument de mesure (questionnaire auto-administré en mode électronique) permet l’obtention d’un score global du coefficient alpha de Cronbach (α) de 0,93, ce qui est jugé excellent. Dans la troisième et dernière phase, les analyses statistiques des données (logiciel SPSS, version 22 pour Windows 7, 2013) issues de l’enquête quantitative provinciale en ligne (Web) mettent en évidence des résultats probants. Les résultats du questionnaire en ligne avec une échelle ordinale à cinq niveaux révèlent un score global du coefficient alpha de Cronbach à 0,95. De plus, les résultats quantitatifs suggèrent que les facteurs favorables (FF) à la QVT ont des scores moyens de 3,99 (FF1), 3,97 (FF2), 3,96 (FF3), 3,72 (FF4) et 3,53 (FF5) et les trois facteurs défavorables (FD) à la QVT ont des scores moyens de 3,91(FD1), 3,78 (FD2) et 3,56 (FD3). Ces facteurs correspondent aux eidos-thèmes favorables et défavorables de la QVT du volet qualitatif phénoménologique. Les résultats quantitatifs révèlent quelques relations significatives des caractéristiques sociodémographiques (âge et années d’expérience) sur le choix des facteurs qui influencent le plus fortement la QVT. En conclusion, le fait de pouvoir mieux décrire et comprendre la signification de la QVT ainsi que son absence et de pouvoir identifier les facteurs qui sont les plus susceptibles de l’influencer permet de formuler des recommandations pour les quatre domaines de la pratique infirmière. Des pistes d’avenues sont formulées pour maintenir la relève infirmière à des postes de CGIPN au sein des organisations de santé en lui assurant des moyens pour optimiser humainement sa QVT.

Étude des liens corrélationnels entre la collaboration école-famille, l’implication parentale, les styles éducatifs des parents et la réussite scolaire des élèves du primaire au Burkina Faso

Cette recherche quantitative, de type descriptif corrélationnel, a pour objectifs, d’une part, d’identifier les différents types de collaboration école-famille, les types d’implication parentale et les styles éducatifs des parents et, d’autre part, de déterminer leurs liens avec la réussite scolaire des élèves du primaire au Burkina Faso, notamment ceux en classe de Cours Moyen deuxième année (CM2) selon leur genre et zone de résidence. Afin d’atteindre ces objectifs, nous avons adopté une approche écosystémique qui a permis d’aborder à la fois les relations entre les parents et les enfants (microsystème) et celles avec l’école (mésosystème). Ceci, dans le but de mieux cerner les dynamiques relationnelles qui se déroulent entre ces différents milieux de vie de l’enfant et de déterminer leur influence sur ses résultats scolaires. À cet effet, des questionnaires évaluant la perception des participants sur les dimensions de la recherche, à savoir la collaboration école-famille, l’implication parentale et les styles éducatifs des parents, ont été passés à 615 parents d’élèves de CM2 provenant de six régions administratives du Burkina Faso, dont deux fortement urbanisées (régions du Centre et des Hauts-Bassins) et quatre principalement rurales (régions du Sahel, de l’Est, du Plateau Central et du Centre Est). Une douzaine d’écoles publiques réparties entre ces régions ont été retenues dans le cadre de la présente recherche. Les données ainsi recueillies ont été analysées avec un logiciel de traitement statistique (Statistical Package for the Social Sciences : SPSS) qui a permis de faire à la fois des analyses descriptives et orrélationnelles (test du khi-deux). Les résultats descriptifs révèlent la présence de différents types de collaboration école-famille (information, consultation, coordination et concertation), d’implication parentale (rôles, communications, bénévolat, soutien aux apprentissages à domicile, prises de décisions et collaboration avec la communauté) et de styles éducatifs (démocratique, autoritaire, permissif et négligent). Ensuite, les résultats corrélationnels montrent que les relations école-famille ne permettent la réussite scolaire des élèves que si les parents entretiennent des relations régulières et réciproques d’information, de consultation, de coordination et de concertation avec les maîtres de leurs enfants autour de sujets relatifs au rendement scolaire, au comportement, aux activités culturelles, etc. S’agissant de l’implication parentale, il ressort que celle-ci ne favorise la réussite scolaire que si les parents s’impliquent de façon continue ou permanente dans les rôles (achats de fournitures scolaires, d’habits, etc.), les communications avec l’école (au sujet du rendement scolaire, du comportement, etc.), les activités de bénévolat (nettoyage, apport d’agrégats, etc.), les apprentissages à domicile (devoirs, leçons, etc.) et les prises de décisions (association des parents, conseil d’établissement, etc.). Pour ce qui concerne la collaboration avec la communauté à travers l’usage des ressources communautaires (centres de lecture, bibliothèques,etc.), même une faible implication à ce niveau favorise la réussite scolaire. Enfin, en ce qui a trait aux styles éducatifs des parents, les résultats indiquent que les styles démocratiques et autoritaires sont ceux qui favorisent la réussite scolaire, mais avec une légère domination du style démocratique. En conclusion, nous constatons que la collaboration école-famille, l’implication parentale et le style éducatif démocratique favorisent tous la réussite scolaire à des niveaux différents. Mêmes faibles, des relations réciproques entre l’école et la famille sont susceptibles de favoriser la réussite scolaire des élèves du primaire dans le contexte burkinabé. Par contre, pour l’implication parentale, il faut généralement des engagements continus des parents. Le style démocratique se présente comme celui qui favorise le plus la réussite scolaire. Mais les zones de résidence (rurales) ont plus d’influence sur toutes ces variables que le genre. D’où l’importance de favoriser ou de promouvoir de véritables collaborations entre l’école et la famille en vue de permettre une plus grande réussite des élèves, surtout en zones rurales. Les actions de plaidoyer ou de lobbying devraient ainsi aller dans ce sens; elles peuvent être menées à la fois par les parents à travers leurs structures associatives, les institutions ou organismes oeuvrant dans le domaine de l’éducation, et par la communauté des chercheurs.

Reinforcement Learning by Policy Search

One objective of artificial intelligence is to model the behavior of an intelligent agent interacting with its environment. The environment's transformations can be modeled as a Markov chain, whose state is partially observable to the agent and affected by its actions; such processes are known as partially observable Markov decision processes (POMDPs). While the environment's dynamics are assumed to obey certain rules, the agent does not know them and must learn. In this dissertation we focus on the agent's adaptation as captured by the reinforcement learning framework. This means learning a policy---a mapping of observations into actions---based on feedback from the environment. The learning can be viewed as browsing a set of policies while evaluating them by trial through interaction with the environment. The set of policies is constrained by the architecture of the agent's controller. POMDPs require a controller to have a memory. We investigate controllers with memory, including controllers with external memory, finite state controllers and distributed controllers for multi-agent systems. For these various controllers we work out the details of the algorithms which learn by ascending the gradient of expected cumulative reinforcement. Building on statistical learning theory and experiment design theory, a policy evaluation algorithm is developed for the case of experience re-use. We address the question of sufficient experience for uniform convergence of policy evaluation and obtain sample complexity bounds for various estimators. Finally, we demonstrate the performance of the proposed algorithms on several domains, the most complex of which is simulated adaptive packet routing in a telecommunication network.

Learning Linear, Sparse, Factorial Codes

In previous work (Olshausen & Field 1996), an algorithm was described for learning linear sparse codes which, when trained on natural images, produces a set of basis functions that are spatially localized, oriented, and bandpass (i.e., wavelet-like). This note shows how the algorithm may be interpreted within a maximum-likelihood framework. Several useful insights emerge from this connection: it makes explicit the relation to statistical independence (i.e., factorial coding), it shows a formal relationship to the algorithm of Bell and Sejnowski (1995), and it suggests how to adapt parameters that were previously fixed.

Learning from Incomplete Data

Real-world learning tasks often involve high-dimensional data sets with complex patterns of missing features. In this paper we review the problem of learning from incomplete data from two statistical perspectives---the likelihood-based and the Bayesian. The goal is two-fold: to place current neural network approaches to missing data within a statistical framework, and to describe a set of algorithms, derived from the likelihood-based framework, that handle clustering, classification, and function approximation from incomplete data in a principled and efficient manner. These algorithms are based on mixture modeling and make two distinct appeals to the Expectation-Maximization (EM) principle (Dempster, Laird, and Rubin 1977)---both for the estimation of mixture components and for coping with the missing data.

Statistical Models for Co-occurrence Data

Modeling and predicting co-occurrences of events is a fundamental problem of unsupervised learning. In this contribution we develop a statistical framework for analyzing co-occurrence data in a general setting where elementary observations are joint occurrences of pairs of abstract objects from two finite sets. The main challenge for statistical models in this context is to overcome the inherent data sparseness and to estimate the probabilities for pairs which were rarely observed or even unobserved in a given sample set. Moreover, it is often of considerable interest to extract grouping structure or to find a hierarchical data organization. A novel family of mixture models is proposed which explain the observed data by a finite number of shared aspects or clusters. This provides a common framework for statistical inference and structure discovery and also includes several recently proposed models as special cases. Adopting the maximum likelihood principle, EM algorithms are derived to fit the model parameters. We develop improved versions of EM which largely avoid overfitting problems and overcome the inherent locality of EM--based optimization. Among the broad variety of possible applications, e.g., in information retrieval, natural language processing, data mining, and computer vision, we have chosen document retrieval, the statistical analysis of noun/adjective co-occurrence and the unsupervised segmentation of textured images to test and evaluate the proposed algorithms.

An automatic correction tool for relational database schemas

A Web-based tool developed to automatically correct relational database schemas is presented. This tool has been integrated into a more general e-learning platform and is used to reinforce teaching and learning on database courses. This platform assigns to each student a set of database problems selected from a common repository. The student has to design a relational database schema and enter it into the system through a user friendly interface specifically designed for it. The correction tool corrects the design and shows detected errors. The student has the chance to correct them and send a new solution. These steps can be repeated as many times as required until a correct solution is obtained. Currently, this system is being used in different introductory database courses at the University of Girona with very promising results

The effectiveness of assessment learning objects produced using pair programming

Pair Programming is a technique from the software development method eXtreme Programming (XP) whereby two programmers work closely together to develop a piece of software. A similar approach has been used to develop a set of Assessment Learning Objects (ALO). Three members of academic staff have developed a set of ALOs for a total of three different modules (two with overlapping content). In each case a pair programming approach was taken to the development of the ALO. In addition to demonstrating the efficiency of this approach in terms of staff time spent developing the ALOs, a statistical analysis of the outcomes for students who made use of the ALOs is used to demonstrate the effectiveness of the ALOs produced via this method.

Emergent discourses of construction competitiveness: localized learning and embeddedness

Research is described that sought to understand how senior managers within regional contracting firms conceptualize and enact competitiveness. Existing formal discourses of construction competitiveness include the discourse of 'best practice' and the various theories of competitiveness as routinely mobilized within the academic literature. Such discourses consistently underplay the influence of contextual factors in shaping how competitiveness is enacted. An alternative discourse of competitiveness is outlined based on the concepts of localized learning and embeddedness. Two case studies of regional construction firms provide new insights into the emergent discourses of construction competitiveness. The empirical findings resonate strongly with the concepts of localized learning and embeddedness. The case studies illustrate the importance of de-centralized structures which enable multiple business units to become embedded within localized markets. A significant degree of autonomy is essential to facilitate localized entrepreneurial behaviour. In essence, sustained competitiveness was found to depend upon the extent to which de-centralized business units enact ongoing processes of localized learning. Once local business units have become embedded within localized markets the essential challenge is how to encourage continued entrepreneurial behaviour while maintaining a degree of centralized control and coordination. Of key importance is the recognition that the capabilities that make companies competitive transcend organizational boundaries such that they become situated within complex networks of relational ties.

Factors mediating the routinisation of e-learning within a traditional university education environment

Technology-enhanced or Computer Aided Learning (e-learning) can be institutionally integrated and supported by learning management systems or Virtual Learning Environments (VLEs) to offer efficiency gains, effectiveness and scalability of the e-leaning paradigm. However this can only be achieved through integration of pedagogically intelligent approaches and lesson preparation tools environment and VLE that is well accepted by both the students and teachers. This paper critically explores some of the issues relevant to scalable routinisation of e-learning at the tertiary level, typically first year university undergraduates, with the teaching of Relational Data Analysis (RDA), as supported by multimedia authoring, as a case study. The paper concludes that blended learning approaches which balance the deployment of e-learning with other modalities of learning delivery such as instructor–mediated group learning etc offer the most flexible and scalable route to e-learning but that this requires the graceful integration of platforms for multimedia production, distribution and delivery through advanced interactive spaces that provoke learner engagement and promote learning autonomy and group learning facilitated by a cooperative-creative learning environment that remains open to personal exploration of constructivist-constructionist pathways to learning.

The impact of social and relational contexts on innovation transfer in foreign subsidiaries

It is widely acknowledged that innovation is one of the pillars of multinational enterprises (MNEs) and that technological knowledge from different host locations is a key factor to the MNEs’ competitive advantages development. Concerning these assumptions, in this paper we aim to understand how the social and the relational contexts affect the conventional and reverse transfer of innovation from MNEs’ subsidiaries hosted in emerging markets. We analyzed the social context through the institutional profile (CIP) level and the relational context through trust and integration levels utilizing a survey sent to 172 foreign subsidiaries located in Brazil, as well as secondary data. Through an ordinary least squares regression (OLS) analysis we found that the relational context affects the conventional and reverse innovation transfer in subsidiaries hosted in emerging markets. We however did not find support for the social context effect.

Placing defects at the heart of high quality new homes: a learning perspective

The UK new-build housing sector is facing dual pressures to expand supply, whilst delivering against tougher planning and Building Regulation requirements; predominantly in the areas of sustainability. The sector is currently responding by significantly scaling up production and incorporating new technical solutions into new homes. This trajectory of up-scaling and technical innovation has been of research interest; but this research has primarily focus on the ‘upstream’ implications for house builders’ business models and standardised design templates. There has been little attention, though, to the potential ‘downstream’ implications of the ramping up of supply and the introduction of new technologies for build quality and defects. This paper contributes to our understanding of the ‘downstream’ implications through a synthesis of the current UK defect literature with respect to new-build housing. It is found that the prevailing emphasis in the literature is limited to the responsibility, pathology and statistical analysis of defects (and failures). The literature does not extend to how house builders individually and collectively, in practice, collect and learn from defects information. The paper concludes by describing an ongoing collaborative research programme with the National House Building Council (NHBC) to: (a) understand house builders’ localised defects analysis procedures, and their current knowledge feedback loops to inform risk management strategies; and, (b) building on this understanding, design and test action research interventions to develop new data capture, learning processes and systems to reduce targeted defects.

The impacts of learning styles, learning patterns and demographic factors on learners’ performance in a blended learning environment

Many studies have widely accepted the assumption that learning processes can be promoted when teaching styles and learning styles are well matched. In this study, the synergy between learning styles, learning patterns, and gender as a selected demographic feature and learners’ performance were quantitatively investigated in a blended learning setting. This environment adopts a traditional teaching approach of ‘one-sizefits-all’ without considering individual user’s preferences and attitudes. Hence, evidence can be provided about the value of taking such factors into account in Adaptive Educational Hypermedia Systems (AEHSs). Felder and Soloman’s Index of Learning Styles (ILS) was used to identify the learning styles of 59 undergraduate students at the University of Babylon. Five hypotheses were investigated in the experiment. Our findings show that there is no statistical significance in some of the assessed factors. However, processing dimension, the total number of hits on course website and gender indicated a statistical significance on learners’ performance. This finding needs more investigation in order to identify the effective factors on students’ achievement to be considered in Adaptive Educational Hypermedia Systems (AEHSs).

Detecting defects in UK new-build housing: a learning perspective

House builders play a key role in controlling the quality of new homes in the UK. The UK house building sector is, however, currently facing pressures to expand supply as well as conform to tougher low carbon planning and Building Regulation requirements; primarily in the areas of sustainability. There is growing evidence that the pressure the UK house building industry is currently under may be eroding build quality and causing an increase in defects. It is found that the prevailing defect literature is limited to the causes, pathology and statistical analysis of defects (and failures). The literature does not extend to examine how house builders individually and collectively, in practice, collect and learn from defects experience in order to reduce the prevalence of defects in future homes. The theoretical lens for the research is organisational learning. This paper contributes to our understanding of organisational learning in construction through a synthesis of current literature. Further, a suitable organisational learning model is adopted. The paper concludes by reporting the research design of an ongoing collaborative action research project with the National House Building Council (NHBC), focused on developing a better understanding of house builders’ localised defects analysis procedures and learning processes.

Opinion dynamics of learning agents: does seeking consensus lead to disagreement?

We study opinion dynamics in a population of interacting adaptive agents voting on a set of issues represented by vectors. We consider agents who can classify issues into one of two categories and can arrive at their opinions using an adaptive algorithm. Adaptation comes from learning and the information for the learning process comes from interacting with other neighboring agents and trying to change the internal state in order to concur with their opinions. The change in the internal state is driven by the information contained in the issue and in the opinion of the other agent. We present results in a simple yet rich context where each agent uses a Boolean perceptron to state their opinion. If the update occurs with information asynchronously exchanged among pairs of agents, then the typical case, if the number of issues is kept small, is the evolution into a society torn by the emergence of factions with extreme opposite beliefs. This occurs even when seeking consensus with agents with opposite opinions. If the number of issues is large, the dynamics becomes trapped, the society does not evolve into factions and a distribution of moderate opinions is observed. The synchronous case is technically simpler and is studied by formulating the problem in terms of differential equations that describe the evolution of order parameters that measure the consensus between pairs of agents. We show that for a large number of issues and unidirectional information flow, global consensus is a fixed point; however, the approach to this consensus is glassy for large societies.