Defining adaptation in a generic multi layer model : CAM: the GRAPPLE conceptual adaptation model

Authoring of Adaptive Hypermedia is a difficult and time consuming task. Reference models like LAOS and AHAM separate adaptation and content in different layers. Systems like AHA! offer graphical tools based on these models to allow authors to define adaptation without knowing any adaptation language. The adaptation that can be defined using such tools is still limited. Authoring systems like MOT are more flexible, but usability of adaptation specification is low. This paper proposes a more generic model which allows the adaptation to be defined in an arbitrary number of layers, where adaptation is expressed in terms of relationships between concepts. This model allows the creation of more powerful yet easier to use graphical authoring tools. This paper presents the structure of the Conceptual Adaptation Models used in adaptive applications created within the GRAPPLE adaptive learning environment, and their representation in a graphical authoring tool

Defining adaptation in a generic multi layer model : CAM: the GRAPPLE conceptual adaptation model

Authoring of Adaptive Hypermedia is a difficult and time consuming task. Reference models like LAOS and AHAM separate adaptation and content in different layers. Systems like AHA! offer graphical tools based on these models to allow authors to define adaptation without knowing any adaptation language. The adaptation that can be defined using such tools is still limited. Authoring systems like MOT are more flexible, but usability of adaptation specification is low. This paper proposes a more generic model which allows the adaptation to be defined in an arbitrary number of layers, where adaptation is expressed in terms of relationships between concepts. This model allows the creation of more powerful yet easier to use graphical authoring tools. This paper presents the structure of the Conceptual Adaptation Models used in adaptive applications created within the GRAPPLE adaptive learning environment, and their representation in a graphical authoring tool

FERRAMENTAS DE AUTORIA DE SISTEMAS HIPERMÍDIA ADAPTATIVOS PARA APRENDIZAGEM: UM PONTO DE SITUAÇÃO

Um Sistema Hipermídia Adaptativo (SHA) define-se como sendo um sistema de visualização em que os conteúdos a apresentar, a sua forma de apresentação e navegação são ajustados de acordo com as características de cada utilizador, com o objetivo de guiá-lo para a informação mais relevante, desviando-o de informação menos interessantes ou que ele não conseguiria entender. A utilização de SHA em processos deEnsino/Aprendizagem (SHAA) torna-se assim bastante eficaz, pela capacidade de oferecer ao aluno os estímulos cognitivos corretos no momento adequado, facilitando o ntrajeto construtivista de aprendizagem. Este estudo debruça-se sobre as características atuais das ferramentas de autoria de SHAA, permitindo determinar as mais adequadas para uma determinada finalidade e, ao mesmo tempo, detectar eventuais fragilidades

Authoring Adaptive Hypermedia using Ontologies

Adaptive hypermedia has been developed to overcome the problems of disorientation by providing personalized presentation and link structure. An adaptive hypermedia system consists of an adaptation model, a domain model, and a user model. The user model describes various aspects of a user such as interests, knowledge, preferences, etc. The domain model describes the whole knowledge accessible in adaptive hypermedia. The adaptation model consists of adaptation rules that define both how to generate the personalized presentation and update the user model [12]. Authoring adaptive hypermedia typically starts by designing a domain model so that apprropiate adaptation model and user model can be created based the domain model. While there are authoring tools developed for creating domain model of an adaptive hypermedia, authors need to manually create basic concepts as well as their relationships for a domain of interests. In this paper, we present a system that transforms an ontology into the domain and adaptation model of adaptive hypermedia so that the authors can generate adaptive hypermedia easily. The system transforms classes and relationships between the classes defined in OWL ontology [7] into concepts and relationships between the concepts defined in the domain model of AHA! system which is one of best known open source general-purpose adaptive hypermedia systems [1]. Using our system, authors can utilize well-defined knowledge structure in ontologies for authoring adaptive hypermedia. On top of this, since designing domain model is generally an initial step to author adaptive hypermedia, our system can help authors reduce tasks to create adaptive hypermedia by automatically generating domain model from an ontology

Evaluating Adaptive Hypermedia Authoring while Teaching Adaptive Systems

In this paper we present an interesting experiment of combining teaching and research: the testing of MOT, an adaptive hypermedia authoring tool based on the LAOS adaptive hypermedia authoring framework, via a class of about twenty graduate students from the Eindhoven University of Technology, taking a two week intensive course in Adaptive Systems and User Modeling. We will show what the incentives of the experiment were, by giving a short description of LAOS, the theoretical background; then we will sketch MOT, the on-line system gradually implementing LAOS. The focus of the paper will be the experiment itself, with its parameters: the setting and initial planning, the actual implementation and the results. Finally, we will comment on the results and interpret them. Moreover, we will discuss what we have learned from these results and how they pointed us to new ways of improving MOT

Les aspects temporels qualitatifs et quantitatifs dans les systèmes embarqués

Je présente mes travaux qui se situent à différentes étapes du cycle de vie d'un système. Certains de mes travaux concernent l'expression des besoins et plus précisément le passage d'une expression semi-formelle des besoins (diagrammes UML) à leur expression formelle (réseau de Petri) pour des besoins de vérification. D'autres travaux concernent les phases de conception et de mise en oeuvre en s'appuyant sur des systèmes multi-agents, et des réseaux de Petri avec ou sans information imprécise (floue). Une partie de mes travaux traite des aspects formels avec la vérification de réseaux de Petri temporels et temporels flous. Ces travaux ont en commun un même outil de base, les réseaux de Petri, et se trouvent à l'intersection de différentes disciplines, faisant appel par exemple à la logique linéaire, la théorie des possibilités, le raisonnement temporel et UML. Ils sont organisés en quatre unités thématiques : - la sémantique des diagrammes UML décrivant la dynamique, - la vérification et mise en oeuvre de systèmes à événements discrets, - la spécification de contraintes floues, - la spécification et vérification de contraintes temporelles quantitatives imprécises et floues

Modélisation probabiliste du style d'apprentissage et application à l'adaptation de contenus pédagogiques indexés par une ontologie

Cette thèse s'inscrit dans le cadre général des systèmes d'enseignement adaptatifs. La problématique traitée est l'adaptation de l'activité pédagogique au mode d'apprentissage préféré de l'élève. Les travaux réalisés ont eu pour objectifs de : modéliser les préférences d'apprentissage de l'élève ; modéliser les contenus pédagogiques du domaine à enseigner ; proposer une stratégie d'adaptation qui rapproche les préférences des contenus afin de proposer une méthode pédagogique appropriée. Pour atteindre le premier objectif, la thèse étudie le style d'apprentissage de Felder. Une étude empirique pour établir un modèle de dépendance entre style, pédagogie, et comportement de l'élève a été réalisée. Les résultats ont permis d'établir un modèle de préférences probabiliste. Une méthode en deux étapes pour apprendre ce odèle puis le renforcer est développée. Deux implantations sont proposées : un réseau bayésien et une machine à vecteurs de support. Le contenu quant à lui est modélisé en utilisant une ontologie combinant le domaine, la pédagogie, ainsi que les ressources physiques. Une stratégie d'adaptation structurée sur quatre dimensions est présentée. Celle-ci consiste à rechercher dans le contenu la séquence pédagogique sémantiquement pertinente pour les préférences de l'élève. La recherche s'appuie sur une mesure de similarité sémantique qui est établie. Ce travail a eu un impact sur deux projets européens. En effet, la méthode de production et structuration des contenus, basée sur SCORM, qui est proposée a servi pour le projet UP2UML. L'approche de modélisation de l'élève sert aux recherches sur le profilage dans le projet KPLAB. ABSTRACT : This thesis deals with adaptive teaching systems. The research question is how to adapt pedagogical activities to the prefered learning mode of a student. The scientific objectives are: modelisation of student's learning preferences ; modelisation of adaptive learning contents of a given domain ; establishing an adaptation strategy that maps preferences to contents in order to recommend an appropriate teaching method In order to reach the first objective, the thesis studies the learning style of Felder. An empirical study to derive a dependency model between the style, the pedagogy, and the student behaviour has been conducted. Results led to creating a probabilistic preference model. A two-stage method to learn and reinforce the model is developed. Two implementations are proposed: a bayesian network and an SVM classifier. The content is represented using an ontology that combines the domain, the pedagogy, and the physical resources. An adaptation strategy centered around four dimensions is presented. This consists of searching the content to retrieve the most semantically pertinent pedagogical sequence given the student preferences. The search implements an original semantic similarity measure. This work significantly impacted two European research projects. The production and structuration method designed in this thesis and based on SCORM has been applied in the Leonardo Da Vinci project called UP2UML. The student modeling approche serves currently our research on user profiling in the KPLAB projec