Conference: Knowledge-Based Intelligent Information and Engineering Systems, 11th International Conference, KES 2007, XVII Italian Workshop on Neural Networks, Vietri sul Mare, Italy, September 12-14, 2007. Proceedings, Part II
[Show abstract][Hide abstract] ABSTRACT: This paper presents KnowledgeTree, an architecture for adaptive eLearning based on distributed re-usable intelligent learning activities. The goal of KnowledgeTree is to bridge the gap between the modern approach to Web-based education based on courseware management systems and powerful but underused intelligent tutoring and adaptive hypermedia technologies. This architecture attempts to address both the component-based development of adaptive systems and the teacher-level reusability.
[Show abstract][Hide abstract] ABSTRACT: Proactivity has recently arisen as one of the focus areas within HCI. Proactive systems adhere to two premises: 1) working on behalf of, or pro, the user, and 2) acting on their own initiative. To extend researchers' views on how proactive systems can support the user, we clarify the concept of proactivity and suggest a typology that distinguishes between 6 modes of proactive resource management: preparation, optimization, advising, manipulation, inhibition, and finalization of user's resources. A scenario of mobile imaging is presented to illustrate how the typology can support the innovation of new use purposes. We argue that conceptual developments like the one proposed here are crucial for the advancement of the emerging field.
Proceedings of the Third Nordic Conference on Human-Computer Interaction 2004, Tampere, Finland, October 23-27, 2004; 01/2004
[Show abstract][Hide abstract] ABSTRACT: In  we proposed a new kind of Learning Management Systems: proactive LMS, designed to help their users to better interact online by providing programmable, automatic and continuous analyses of users (in-ter)actions augmented with appropriate actions initiated by the LMS itself. The proactive part of our LMS is based on a dynamic rules-based system. But the main algorithm we proposed in order to implement the rules running system, suffers some efficiency problems. In this paper, we propose a new version of the main rules running algorithm that is based on lazy evaluation in order to avoid unnecessary and time-costly requests to the LMS database when a rule is not activated, that is: when its actions part will not be performed because preliminary checks failed.
01/2008; 3. DOI:10.4018/jwltt.2008010110
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