Alban Martin, L’Âge de Peer (Quand le choix du gratuit peut rapporter gros)

Internet, le Web 2.0, les blogs, le podcasting, les réseaux peer-to-peer — littéralement « pair à pair » qui permettent aux internautes (les « pairs ») de partager et d’échanger entre eux des films, de la musique ou tout autre ressource —, les procès des majors du divertissement contre le téléchargement illégal, la nouvelle loi pour le plan de développement de l’économie numérique : nous vivons depuis quelques années une véritable révolution culturelle. Et c’est bien tout un pan de l’économie..

Guillaume Erner, Sociologie des tendances

« Les tendances, c’est tendance » (p.5). Ainsi commence le livre de Guillaume Erner qui propose une synthèse sur la sociologie des tendances. Même si la mode est née il y a déjà plusieurs siècles, le terme « tendance » est devenu un véritable argument marketing depuis ces dernières années. Et les sciences sociales sont face à une question difficile : pourquoi certains goûts et comportements sont-ils adoptés, de manière si soudaine et si éphémère, par une grande partie de la population ? C’est..

Guillaume Erner, Sociologie des tendances

« Les tendances, c’est tendance » (p.5). Ainsi commence le livre de Guillaume Erner qui propose une synthèse sur la sociologie des tendances. Même si la mode est née il y a déjà plusieurs siècles, le terme « tendance » est devenu un véritable argument marketing depuis ces dernières années. Et les sciences sociales sont face à une question difficile : pourquoi certains goûts et comportements sont-ils adoptés, de manière si soudaine et si éphémère, par une grande partie de la population ? C’est..

An architecture for e-learning system with computational intelligence (extended version)

Purpose of this paper We introduce a new kind of Learning Management Systems: proactive LMS, designed to improve the users’ online (inter)actions by providing programmable, automatic and continuous intelligent analyses of the users’ behaviours, augmented with appropriate actions initiated by the LMS itself. Design/methodology/approach Proactive systems (see e.g. Tennenhouse D., “Proactive Computing”, Communications of the ACM, 43 (5), 2000, pp. 43-50.) adhere to two premises: working on behalf of, or pro, the user, and acting on their own initiative, without user’s explicit command. The proactive part of our LMS is implemented as a dynamic rules-based system, and is added next to the initial LMS. They both use the same database as their source of information on the users, their activities, the available resources and the current state of the whole system. Findings We show how we implemented the proactive part of our LMS on the basis of a dynamic expert system. We also sketch how it looks like from a user’s point of view. Finally, we give examples of intelligent analysis of users’ behaviours coded into proactive rules. Research limitations/implications (if applicable) Future work includes the design and the implementation of sets of rules (packages) dedicated to common users needs, enabling useful proactivity on the basis of elaborated intelligent analysis. Originality and value of paper Current Learning Management Systems (virtual educational and/or training online environments) are fundamentally limited tools. Indeed, they are only reactive software: these tools wait for an instruction and then react to the user request. Students using these online systems could imagine and hope for more help and assistance tools: LMS should tend to offer some personal, immediate and appropriate support like teachers do in classrooms. Our proactive LMS can, for example, automatically and continuously help and take care of e-learners with respect to previously defined procedures rules, and even flag other users, like e-tutors, if something wrong is detected in their behaviours

An Architecture for E-Learning System with Computational Intelligence

In this paper, we introduce a new kind of software tools intended to offer a virtual educational and/or training environment online: proactive e-Learning Management Systems. These computational intelligence based systems are designed to improve the users’ online (inter)actions by providing programmable, automatic and continuous intelligent analyses of the users’ behaviors, augmented with appropriate actions initiated by the LMS itself. We show how we implemented the proactive part of our LMS on the basis of a dynamic rules-based expert system. We also sketch how it looks like from a user’s point of view. Finally, We give some examples of intelligent analysis of users’ behaviors coded into proactive rules

Animal Neurophysiology Virtual Lab: Pedagogical Requirements and Technological Issues

As digital content is more and more present in our everyday life, universities, by the way of their teachers and course authors, have to be up-to-date by delivering pertinent, accessible and easily-handling courses. To reach this goal, many LMS exist to play online learning objects, but they often remain parody of classical support such as paper version of lecture notes: it appears finally as non-interactive classical books in electronic version. Inevitably, this situation shows the issue of designing some real interactive and electronic learning content, and not translating lecture notes to PDF files. In this paper, we explain how multimedia learning support can meet pre-defined pedagogical requirements. Through a real case study, the Neuron Physiology practical course, we sketch the logical link between an educational objective, the choice of an interactive activity and the way to implement it from a technical point of view