Action Research : the first steps to start up a pilot experiment in heritage education

Peer-reviewed

Promoting Metacognitive Skills in a CSCL environment: implications for instructional and technology design

This paper aims to better understand the development of students’ learning processes when participating actively in a specific Computer Supported Collaborative Learning system called KnowCat. To this end, a longitudinal case study was designed, in which eighteen university students took part in a 12-month (two semesters) learning project. During this time period, the students followed an instructional process, using some elements of KnowCat (KnowCat key features) design to support and improve their interaction processes, especially peer learning processes. Our research involved both supervising the students’ collaborative learning processes throughout the learning project and focusing our analysis on the qualitative evolution of the students’ interaction processes and on the development of metacognitive learning processes. The results of the current research reveal that the instructional application of the CSCL-KnowCat system may favour and improve the development of the students’ metacognitive learning processes. Additionally, the implications of the design of computer supported collaborative learning networks and pedagogical issues are discussed in this paper.

Luottamuksen ilmeneminen alueellisissa yhteistyöverkostoissa

Appearance of trust in regional, co-operative networks In our times, the value of social networks has been widely acknowledged. One can say that it is important for private persons to get networked, whilst it is even a must for companies and organizations in business life. This doctor's thesis examines three co-operative regional networks. Networks are located in Western Uusimaa (Länsi-Uusimaa) region in southernmost Finland, and they had both public organizations and private companies as participants (later called ‘players’). Initially, all of them were co-financed from public funds, and two of them are still operational while writing this. The main target of these networks has been to act as learning networks. The learning network stands for an ensemble of research and development units and workplaces constituting a common forum for learning. The main focus in this study has been on qualitative and structural characteristics of the networks, and how they are relating with intrinsic trust. In addition to the development of trust, it has been studied, at what level organizational learning within the networks takes place, and lastly, what kind of factors facilitate the development of social capital. The theoretical framework for the study is built on analysing trust and social capital. It is a 'mission impossible' to find single definitions for such major concepts. In this study, from the research questions' point of view it has been more relevant to concentrate on the aspects of networking and the relationships between the participating organizations. The total view in this study is very network-centric, and therefore those theories which have similar point of view have been prioritized. Such is the theory about structural holes by Ronald S. Burt (1992). It has been widely applied; especially his views on constraints affecting players in networks. The purpose of this study has not been to create new theories or to analyse and compare thoroughly the existing theoretical trends. Instead, the existing theories have provided the study with conceptual tools, which have been utilized for supporting the empirical results. The aim has been to create an explanatory case study consisting relevant discussion on the relationship between the network characteristics and the appearance of trust. The conceptual categorization for confidence vs. trust created by Niklas Luhmann (1979) is another important theoretical building block. In most cases, co-operation in networks is initiated by people already trusting in each other and willing to work together. However, personal trust is not sufficient in the long run to sustain the co-operation within the network: more abstract systemic trust described by Luhmann must also emerge. In the networks with different structures and at different development phases, these forms of trust appear at different levels. In this study, Luhmann’s systemic trust as a term has been replaced by the concept of 'trust in network as a system'. Structural characteristics of a network (density, centrality, structural holes etc.) have been selected to explain the creation of social capital and trust. The ability to adapt new information is essential for the development of social capital. Qualitative analysis for development phase has been used, and the Learning Network Maturity Test by Leenamaija Otala (2000) and her work have been applied. Thus, the qualitative characteristics and the structural characteristics of the networks are utilized together, when the creation of social capital and appearance of trust are assessed. Social Network Analysis, questionnaires and interviews have been the research methods. Quantitative and qualitative data have been combined. There is a similarity in viewpoints to research data with Extensive Case Study method, in which different cases are searched by exploring various cases and comparing certain common features between them and generic models. Development of trust, social capital and organizational learning has been explained in the study by comparing the networks in hand. Being a case study, it doesn't have targets to provide with general results and findings like conventional surveys. However, in this work phenomena and mechanisms related to them are interpreted from the empirical data. Key finding of this study is that the networks with high structural equality and clear target setting enable building trust to the network as a system. When systemic trust is present, e.g. changes in personnel involved in the co-operation won't hinder the network from remaining operational. On the other hand, if the players are not well motivated to co-operate, if the network is extremely centralized structurally, or if the network has players holding very much more beneficial position compared to the others, systemic trust won't develop: trust tends to remain at the personal level, and is directed to some players only. Such networks won't generate results and benefits to its players, and most probably they won’t live very long. In other words, learning networks cannot solely be based on willingness to learn, but also on willingness to co-operate.

Práticas de letramento digital de professores em formação: demandas, saberes e impactos

Over the last decades, the digital inclusion public policies have significantly invested in the purchase of hardwares and softwares in order to offer technology to the Brazilian public teaching institutions, specifically computers and broadband Internet. However, the teachers education to handle these artefacts is put away, even though there is some demand from the information society. With that, this dissertation chooses as an object of study the digital literacy practices performed by 38 (thirty-eight) teachers in initial and continuous education by means of the extension course Literacies and technologies: portuguese language teaching and cyberculture demands. In this direction, we aim at investigating the digital literacy practices of developing teachers in three specific moments: before, while and after this extension action with the intent to (i) delineate the digital literacy practices performed by the collaborators before the formative action; (ii) to narrate the literacy events made possible by the extension course; (iii) to investigate the contributions of the education course to the collaborators teaching practice. We sought theoretical contributions in the literacy studies (BAYNHAM, 1995; KLEIMAN, 1995; HAMILTON; BARTON; IVANIC, 2000), specifically when it comes to digital literacy (COPE, KALANTZIS, 2000; BUZATO, 2001, 2007, 2009; SNYDER, 2002, 2008; LANKSHEAR & KNOBEL, 2002, 2008) and teacher education (PERRENOUD, 2000; SILVA, 2001). Methodologically, this virtual ethnography study (KOZINETS, 1997; HINE, 2000) is inserted into the field of Applied Linguistics and adopts a quali-quantitative research approach (NUNAN, 1992; DÖRNYEI, 2006). The data analysis permitted to evidentiate that (i) before the course, the digital literacy practices focused on the personal and academic dimensions of their realities at the expense of the professional dimension; (ii) during the extension action, the teachers collaboratively took part in the hybrid study sessions, which had a pedagogical focus on the use of ICTs, accomplishing the use of digital literacy practices - unknown before that; (iii) after the course, the attitude of the collaborator teachers concerning the use of ICTs on their regular professional basis had changed, once those teachers started to effectively make use of them, promoting social visibility to what was produced in the school. We also observed that teachers in initial education acted as more experienced peers in collaborative learning process, offering support scaffolding (VYGOTSKY, 1978; BRUNER, 1985) to teachers in continuous education. This occurred because of the undergraduates actualize digital literacy practices were more sophisticated, besides the fact being integrate generation Y (PRENSKY, 2001)

Práticas de letramento digital de professores em formação: demandas, saberes e impactos

Over the last decades, the digital inclusion public policies have significantly invested in the purchase of hardwares and softwares in order to offer technology to the Brazilian public teaching institutions, specifically computers and broadband Internet. However, the teachers education to handle these artefacts is put away, even though there is some demand from the information society. With that, this dissertation chooses as an object of study the digital literacy practices performed by 38 (thirty-eight) teachers in initial and continuous education by means of the extension course Literacies and technologies: portuguese language teaching and cyberculture demands. In this direction, we aim at investigating the digital literacy practices of developing teachers in three specific moments: before, while and after this extension action with the intent to (i) delineate the digital literacy practices performed by the collaborators before the formative action; (ii) to narrate the literacy events made possible by the extension course; (iii) to investigate the contributions of the education course to the collaborators teaching practice. We sought theoretical contributions in the literacy studies (BAYNHAM, 1995; KLEIMAN, 1995; HAMILTON; BARTON; IVANIC, 2000), specifically when it comes to digital literacy (COPE, KALANTZIS, 2000; BUZATO, 2001, 2007, 2009; SNYDER, 2002, 2008; LANKSHEAR & KNOBEL, 2002, 2008) and teacher education (PERRENOUD, 2000; SILVA, 2001). Methodologically, this virtual ethnography study (KOZINETS, 1997; HINE, 2000) is inserted into the field of Applied Linguistics and adopts a quali-quantitative research approach (NUNAN, 1992; DÖRNYEI, 2006). The data analysis permitted to evidentiate that (i) before the course, the digital literacy practices focused on the personal and academic dimensions of their realities at the expense of the professional dimension; (ii) during the extension action, the teachers collaboratively took part in the hybrid study sessions, which had a pedagogical focus on the use of ICTs, accomplishing the use of digital literacy practices - unknown before that; (iii) after the course, the attitude of the collaborator teachers concerning the use of ICTs on their regular professional basis had changed, once those teachers started to effectively make use of them, promoting social visibility to what was produced in the school. We also observed that teachers in initial education acted as more experienced peers in collaborative learning process, offering support scaffolding (VYGOTSKY, 1978; BRUNER, 1985) to teachers in continuous education. This occurred because of the undergraduates actualize digital literacy practices were more sophisticated, besides the fact being integrate generation Y (PRENSKY, 2001)

Macroeconomic cooperation for uncertain times: the REDIMA experience

Includes Bibliography

Estrutura de conteúdos educativos para TV Digital: um modelo de referência

This paper proposes a model of educative content structuring for interactive digital television programs. Its intent was to provide references for collaborative production processes and content organization in learning networks associated with university and educative television broadcasting services. The model defines terms, actors, events, environments, as well as content categories, classes and attributes, indicating criteria for their synchronic or asynchronic association in a dynamic television schedule. The model is presented in both descriptive and visual formats, with the use of conceptual maps. The results indicate that interactive use of digital television in education requires systematic content models covering communitarian participation in both media production and distribution processes, in order to enhance learning instruments beyond vertical, hierarchical and centralized communication sustained by traditional broadcast channels.

PLN : The paradigm shift in teacher and learner autonomy

This presentation explains a dozen tools and paradigm shifts that teachers should apply in transformative ways to working with their students, how Web 2.0, tagging, and RSS are crucial to this process, and how teachers can develop their own personal learning networks to practice continuous lifelong learning and 'teacher autonomy' before applying these concepts to students.

PLN : The paradigm shift in teacher and learner autonomy

This presentation explains a dozen tools and paradigm shifts that teachers should apply in transformative ways to working with their students, how Web 2.0, tagging, and RSS are crucial to this process, and how teachers can develop their own personal learning networks to practice continuous lifelong learning and 'teacher autonomy' before applying these concepts to students.

PLN : The paradigm shift in teacher and learner autonomy

This presentation explains a dozen tools and paradigm shifts that teachers should apply in transformative ways to working with their students, how Web 2.0, tagging, and RSS are crucial to this process, and how teachers can develop their own personal learning networks to practice continuous lifelong learning and 'teacher autonomy' before applying these concepts to students.

Peer Support to Facilitate Knowledge Sharing on Complex Tasks

This thesis explores how to design a peer support system to facilitate self-organized knowledge sharing in non-formal learning environments, in particular when learners work on complex tasks. The peer support system aims to replace two teacher-led didactic arrangements: selecting a tutor at the initial stage, and guidance during the interaction process (Dillenbourg, 1999; Topping, 1996). Such a system has previously been developed by Van Rosmalen (2008) and De Bakker (2010) and has been tentatively used to facilitate knowledge sharing on content-related questions. In this thesis, we would like to find out how to further improve the design of this peer support system, especially to facilitate knowledge sharing on complex tasks. Since little pedagogical theory is available to inform the design of our peer support system, this thesis attempts to apply cognitive load theory (Sweller, Van Merriënboer, & Paas, 1998; Van Merriënboer & Sweller, 2005) that informs instructional designs in classroom settings to the design of our peer support system in Learning Networks.

Bayesian nonparametric latent variable models

L’un des problèmes importants en apprentissage automatique est de déterminer la complexité du modèle à apprendre. Une trop grande complexité mène au surapprentissage, ce qui correspond à trouver des structures qui n’existent pas réellement dans les données, tandis qu’une trop faible complexité mène au sous-apprentissage, c’est-à-dire que l’expressivité du modèle est insuffisante pour capturer l’ensemble des structures présentes dans les données. Pour certains modèles probabilistes, la complexité du modèle se traduit par l’introduction d’une ou plusieurs variables cachées dont le rôle est d’expliquer le processus génératif des données. Il existe diverses approches permettant d’identifier le nombre approprié de variables cachées d’un modèle. Cette thèse s’intéresse aux méthodes Bayésiennes nonparamétriques permettant de déterminer le nombre de variables cachées à utiliser ainsi que leur dimensionnalité. La popularisation des statistiques Bayésiennes nonparamétriques au sein de la communauté de l’apprentissage automatique est assez récente. Leur principal attrait vient du fait qu’elles offrent des modèles hautement flexibles et dont la complexité s’ajuste proportionnellement à la quantité de données disponibles. Au cours des dernières années, la recherche sur les méthodes d’apprentissage Bayésiennes nonparamétriques a porté sur trois aspects principaux : la construction de nouveaux modèles, le développement d’algorithmes d’inférence et les applications. Cette thèse présente nos contributions à ces trois sujets de recherches dans le contexte d’apprentissage de modèles à variables cachées. Dans un premier temps, nous introduisons le Pitman-Yor process mixture of Gaussians, un modèle permettant l’apprentissage de mélanges infinis de Gaussiennes. Nous présentons aussi un algorithme d’inférence permettant de découvrir les composantes cachées du modèle que nous évaluons sur deux applications concrètes de robotique. Nos résultats démontrent que l’approche proposée surpasse en performance et en flexibilité les approches classiques d’apprentissage. Dans un deuxième temps, nous proposons l’extended cascading Indian buffet process, un modèle servant de distribution de probabilité a priori sur l’espace des graphes dirigés acycliques. Dans le contexte de réseaux Bayésien, ce prior permet d’identifier à la fois la présence de variables cachées et la structure du réseau parmi celles-ci. Un algorithme d’inférence Monte Carlo par chaîne de Markov est utilisé pour l’évaluation sur des problèmes d’identification de structures et d’estimation de densités. Dans un dernier temps, nous proposons le Indian chefs process, un modèle plus général que l’extended cascading Indian buffet process servant à l’apprentissage de graphes et d’ordres. L’avantage du nouveau modèle est qu’il admet les connections entres les variables observables et qu’il prend en compte l’ordre des variables. Nous présentons un algorithme d’inférence Monte Carlo par chaîne de Markov avec saut réversible permettant l’apprentissage conjoint de graphes et d’ordres. L’évaluation est faite sur des problèmes d’estimations de densité et de test d’indépendance. Ce modèle est le premier modèle Bayésien nonparamétrique permettant d’apprendre des réseaux Bayésiens disposant d’une structure complètement arbitraire.

Scene Mapping and Understanding by Robotic Vision

The first mechanical Automaton concept was found in a Chinese text written in the 3rd century BC, while Computer Vision was born in the late 1960s. Therefore, visual perception applied to machines (i.e. the Machine Vision) is a young and exciting alliance. When robots came in, the new field of Robotic Vision was born, and these terms began to be erroneously interchanged. In short, we can say that Machine Vision is an engineering domain, which concern the industrial use of Vision. The Robotic Vision, instead, is a research field that tries to incorporate robotics aspects in computer vision algorithms. Visual Servoing, for example, is one of the problems that cannot be solved by computer vision only. Accordingly, a large part of this work deals with boosting popular Computer Vision techniques by exploiting robotics: e.g. the use of kinematics to localize a vision sensor, mounted as the robot end-effector. The remainder of this work is dedicated to the counterparty, i.e. the use of computer vision to solve real robotic problems like grasping objects or navigate avoiding obstacles. Will be presented a brief survey about mapping data structures most widely used in robotics along with SkiMap, a novel sparse data structure created both for robotic mapping and as a general purpose 3D spatial index. Thus, several approaches to implement Object Detection and Manipulation, by exploiting the aforementioned mapping strategies, will be proposed, along with a completely new Machine Teaching facility in order to simply the training procedure of modern Deep Learning networks.