31,740 research outputs found
Collaboration in the Semantic Grid: a Basis for e-Learning
The CoAKTinG project aims to advance the state of the art in collaborative mediated spaces for the Semantic Grid. This paper presents an overview of the hypertext and knowledge based tools which have been deployed to augment existing collaborative environments, and the ontology which is used to exchange structure, promote enhanced process tracking, and aid navigation of resources before, after, and while a collaboration occurs. While the primary focus of the project has been supporting e-Science, this paper also explores the similarities and application of CoAKTinG technologies as part of a human-centred design approach to e-Learning
The relation between prior knowledge and students' collaborative discovery learning processes
In this study we investigate how prior knowledge influences knowledge development during collaborative discovery learning. Fifteen dyads of students (pre-university education, 15-16 years old) worked on a discovery learning task in the physics field of kinematics. The (face-to-face) communication between students was recorded and the interaction with the environment was logged. Based on students' individual judgments of the truth-value and testability of a series of domain-specific propositions, a detailed description of the knowledge configuration for each dyad was created before they entered the learning environment. Qualitative analyses of two dialogues illustrated that prior knowledge influences the discovery learning processes, and knowledge development in a pair of students. Assessments of student and dyad definitional (domain-specific) knowledge, generic (mathematical and graph) knowledge, and generic (discovery) skills were related to the students' dialogue in different discovery learning processes. Results show that a high level of definitional prior knowledge is positively related to the proportion of communication regarding the interpretation of results. Heterogeneity with respect to generic prior knowledge was positively related to the number of utterances made in the discovery process categories hypotheses generation and experimentation. Results of the qualitative analyses indicated that collaboration between extremely heterogeneous dyads is difficult when the high achiever is not willing to scaffold information and work in the low achiever's zone of proximal development
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Proceedings ICPW'07: 2nd International Conference on the Pragmatic Web, 22-23 Oct. 2007, Tilburg: NL
Proceedings ICPW'07: 2nd International Conference on the Pragmatic Web, 22-23 Oct. 2007, Tilburg: N
Explorations in engagement for humans and robots
This paper explores the concept of engagement, the process by which
individuals in an interaction start, maintain and end their perceived
connection to one another. The paper reports on one aspect of engagement among
human interactors--the effect of tracking faces during an interaction. It also
describes the architecture of a robot that can participate in conversational,
collaborative interactions with engagement gestures. Finally, the paper reports
on findings of experiments with human participants who interacted with a robot
when it either performed or did not perform engagement gestures. Results of the
human-robot studies indicate that people become engaged with robots: they
direct their attention to the robot more often in interactions where engagement
gestures are present, and they find interactions more appropriate when
engagement gestures are present than when they are not.Comment: 31 pages, 5 figures, 3 table
Proceedings of the 11th European Agent Systems Summer School Student Session
This volume contains the papers presented at the Student Session of the 11th European Agent Systems Summer School (EASSS) held on 2nd of September 2009 at Educatorio della Providenza, Turin, Italy. The Student Session, organised by students, is designed to encourage student interaction and feedback from the tutors. By providing the students with a conference-like setup, both in the presentation and in the review process, students have the opportunity to prepare their own submission, go through the selection process and present their work to each other and their interests to their fellow students as well as internationally leading experts in the agent field, both from the theoretical and the practical sector. Table of Contents: Andrew Koster, Jordi Sabater Mir and Marco Schorlemmer, Towards an inductive algorithm for learning trust alignment . . . 5; Angel Rolando Medellin, Katie Atkinson and Peter McBurney, A Preliminary Proposal for Model Checking Command Dialogues. . . 12; Declan Mungovan, Enda Howley and Jim Duggan, Norm Convergence in Populations of Dynamically Interacting Agents . . . 19; Akın Günay, Argumentation on Bayesian Networks for Distributed Decision Making . . 25; Michael Burkhardt, Marco Luetzenberger and Nils Masuch, Towards Toolipse 2: Tool Support for the JIAC V Agent Framework . . . 30; Joseph El Gemayel, The Tenacity of Social Actors . . . 33; Cristian Gratie, The Impact of Routing on Traffic Congestion . . . 36; Andrei-Horia Mogos and Monica Cristina Voinescu, A Rule-Based Psychologist Agent for Improving the Performances of a Sportsman . . . 39; --Autonomer Agent,Agent,Künstliche Intelligenz
Action Research : the first steps to start up a pilot experiment in heritage education
Peer-reviewedLes relacions entre els museus i les escoles canvien amb l'ús d'internet. Volem analitzar com aquestes noves relacions tenen lloc a una escala nacional. És important analitzar aquestes noves relacions possibles, que són producte de canvis socials i tecnològics, ja que permeten noves interaccions i participació, al mateix temps que demanen canvis en les formes d'organització, la gestió de recursos web i els models d'ensenyament i aprenentatge. Concretament, les xarxes d'aprenentatge poden establir una nova forma de relació entre els museus i les escoles, i els recursos educatius en línia amb contingut sobre patrimoni cultural poden oferir oportunitats d'aprenentatge i recursos de coneixement més enllà dels límits de l'ensenyament formal. Tanmateix, calen projectes experimentals per a efectuar proves i veure com aquests tipus de pràctiques d'ensenyament i aprenentatge funcionaran en un context social i cultural concret. Així, doncs, la recerca activa pot contribuir al desenvolupament d'una experiència d'aprenentatge, basat en la reflexió i l'acció. L'objectiu d'aquesta experimentació és obtenir un model de treball i millors pràctiques per a aprendre i ensenyar en xarxes d'aprenentatge formades per gestors, professors i estudiants de patrimoni en què els membres produeixin i utilitzin recursos educatius en línia amb contingut de patrimoni cultural. Els resultats d'aquest projecte empíric seran comprovats amb resultats de la primera part metodològica de la tesi doctoral per a obtenir un model que es pugui exportar a altres contextos.Las relaciones entre los museos y las escuelas cambian con el uso de internet. Queremos analizar cómo estas nuevas relaciones tienen lugar a una escala nacional. Es importante analizar estas posibles nuevas relaciones, que son producto de cambios sociales y tecnológicos, ya que permiten nuevas interacciones y participación, a la vez que requieren cambios en las formas de organización, la gestión de recursos web y los modelos de enseñanza y aprendizaje. Concretamente, las redes de aprendizaje pueden establecer una nueva forma de relación entre los museos y las escuelas, y los recursos educativos en línea con contenido de patrimonio cultural pueden ofrecer oportunidades de aprendizaje y recursos de conocimiento más allá de los límites de la enseñanza formal. No obstante, existe una necesidad de proyectos experimentales para realizar pruebas para ver cómo estos tipos de prácticas de enseñanza y aprendizaje funcionarán en un contexto social y cultural concreto. Así pues, la investigación-acción puede contribuir al desarrollo de una experiencia de aprendizaje, basado en la reflexión y las acciones. El objetivo de esta experimentación es obtener un modelo de trabajo y mejores prácticas para el aprendizaje y la enseñanza en redes de aprendizaje formadas por gestores, profesores y estudiantes del patrimonio en las que los miembros produzcan y utilicen recursos en línea con contenido de patrimonio cultural. Los resultados de este proyecto de investigación empírico serán comparados con los resultados de la primera parte metodológica de la tesis doctoral para obtener un modelo que pueda ser exportado a otros contextos.The relationships between museums and schools are changing through the use of internet. We want to analyse how these new relationships occur at a national level. It is important to analyse these possible new relationships, which are the product of social and technological changes. They allow for new interactions and participation whilst requiring changes in the forms of organisation, web resource management, and teaching and learning models. Specifically, learning networks can establish a new form of relationship between museums and schools and educational online resources with cultural heritage content can offer learning opportunities and knowledge resources beyond the boundaries of formal education. However, there is a need for experimental projects to test the evidence and to see how these kinds of teaching and learning practices will work within a concrete social and cultural context. Thus, Action Research can contribute to the development of a learning experience, based on reflection and actions.
The aim of this experimentation is to obtain a working model and best practices for learning and teaching in learning networks shaped by heritage managers, teachers and students where the members produce and use educational online resources with cultural heritage content. The results of this empirical research project will be compared with results from the first methodological part of the PhD thesis to obtain a model that can be exported to other contexts
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Remote Access to a Prototyping Laboratory
There is a growing global demand for continuing adult higher education particularly in science and engineering subjects. New technologies are emerging which would enable the development of a Remote Access Laboratory for rapid prototyping of Artificial Intelligence, as a learning environment for mechatronic engineering, in which high precision electromechanical devices are designed to exhibit autonomous behaviour.
Secondary research investigated the learning theories for a Remote Access Laboratory, and the current practices for distance learning, involving groupware in shared activity 'collaboratories'. Having determined that the laboratory would need a multi-user interactive environment architecture, with the requirement for adaptability to rapid developments,a distributed software architecture was selected. The laboratory design was subsequently argued to be best served by Intelligent Agents in a Multi-Agent system.
The aims of the research were to establish the viability of a Remote Access Laboratory for mechatronic experimentation, and to evaluate the technologies required to implement such a laboratory environment for rapid prototyping. These were achieved by developing a novel user interface, based on a multi-functional screen layout, and a graphical specification facility to provide robotic navigation that is intuitive to use and does not require text-based programming.
The research investigated the prototyping of robotic behaviour, which used Programming by Demonstration as an innovative technique to prototype robot navigation. The method of designing behaviours met an anticipated need to allow the robot to interact with an environment, to achieve goals under conditions of uncertainty, while requiring a level of abstraction in the behaviour design. The interface structured a composite of the designed behaviours into prototype Artificial Intelligence using a hierarchical behaviour architecture, which complied with the principles of Object Orientated programming. This was subsequently a new and original programming method to facilitate rapid prototyping of Artificial Intelligence design and structuring.
Experimentation involved 20 participants attempting to accomplish a series of tasks which involved using the prototyped interface and an existing text-based robot programming system. The participants were profiled by their formal qualifications, knowledge and experience. The experimental data obtained were used to establish a comparative measure of the prototype interface success compared with an existing distance-learning, home experiment kit, in the form of a small controllable model vehicle. The data obtained provided strong evidence to support the hypothesis that a Programming by Demonstration based system for rapid prototyping is more flexible and easier to use than a previously existing distance learning text-based system. The Programming by Demonstration system showed great promise, being quicker for prototyping, and more intuitive. The learning interface design pioneered new techniques and technologies for rapid prototyping of Artificial Intelligence in a Mechatronics Remote Access Laboratory
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