Book ChapterDOI
QUIZ, a Distributed Intelligent Tutoring System
Michel Futtersack,Jean-Marc Labat +1 more
- pp 225-237
Reads0
Chats0
TLDR
QUIZ is a Distributed Intelligent Tutoring System for learning bridge bidding that gathers and sequenced pedagogical actions by means of plans, which are chosen by metarules and dynamically assembled from pieces that are memorized in libraries.Abstract:
QUIZ is a Distributed Intelligent Tutoring System for learning bridge bidding. A set of generic tasks is distributed among four specialists (a tutor, a problem solver, an explainer and a problem generator), who perform their tasks in parallel. These agents are heterogeneous. They own a private working memory and communicate by asynchronous messages passing. Increasing flexibility is a key point in improving the pedagogical capacities of ITS. The strategic level of flexibility results from the determination of the curriculum, the choice of the pedagogical strategy and the degree of expertise used in the problem solver. The choices made at this level must be based mainly upon the student model. The tactical level of flexibility results from the choice of exercise, the advising, the corrections and the explanations. In QUIZ, the pedagogical actions are gathered and sequenced by means of plans, which are chosen by metarules and dynamically assembled from pieces that are memorized in libraries.read more
Citations
More filters
Proceedings Article
Distributed intelligent tutoring on the web
TL;DR: These efforts to construct an integrated system which incorporates conceptual instruction through InterBook and problem-solving interaction through PAT Online, two separate Web-based adaptive tutoring systems, are described.
Intelligent learning environments for programming: The case for integration and adaptation
TL;DR: The problems of integrated intelligent learning environments (ILE) for programming and existing research that forms the background for future research in this area are discussed and work on a student model-centered architecture for ILE is reviewed.
Proceedings Article
Learning from multiple collaborating intelligent tutors: an agent-based approach
TL;DR: MATS is a prototype that models a "one student - many teachers" learning situation that can be used for supporting collaboration of heterogeneous learning objects and for this reason is an interesting paradigm of learning, in the rapidly expanding open distributed world of knowledge, surrounding us.
Journal ArticleDOI
ITS, The End of the World as We Know It: Transitioning AIED into a Service-Oriented Ecosystem
TL;DR: As AIED scales, it will need to follow recent trends in service-oriented and ubiquitous computing: breaking AIED platforms into distinct services that can be composed for different platforms (web, mobile, etc.) and distributed across multiple systems.
Designing an Open Architecture of Agent-based Virtual Experiment Environment on WWW
TL;DR: This paper proposes an open architecture of virtual experiment environment on WWW by using intelligent agent techniques and KQML is used to realize communication protocols and information sharing language for the interactions among experimental equipment and science experiment agents.
References
More filters
Book
Actors: A Model of Concurrent Computation in Distributed Systems
TL;DR: In this article, the authors define an abstract actor machine and provide a minimal programming language for it, which includes higher level constructs such as delayed and eager evaluation, which can be defined in terms of the primitives.
BookDOI
Apprendre...oui, mais comment
TL;DR: Meirieu as mentioned in this paper proposes toute une serie d'outils qui pourront etre utilises par les instituteurs, professeurs, formateurs : des outils pour imaginer, construire et adapter une pedagogie veritablement differenciee, des outsils pour pratiquer l’aide methodologique, des outliers pour travailler a la reussite de tous.
Patent
Knowledge based tutor
TL;DR: In this article, the authoring system scans the domain-dependent knowledge base of the consultation system and determines a set of possible interrupt conditions, from which a user exercises judgment in selecting a subset of conditions that are appropriate for the subject domain and the needs of the student.
Journal ArticleDOI
Multiple Knowledge Sources in Intelligent Teaching Systems
TL;DR: It is believed that intelligent tutoring systems can be designed using a community memory, with multiple experts contributing their teaching and learning knowledge.
Journal ArticleDOI
Control for intelligent tutoring systems: a blackboard-based dynamic instructional planner
TL;DR: The Blackboard Instructional Planner in BB1 is built to teach troubleshooting a complex physical device by first imparting a mental model of the device and its operation.