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NAT*LAB

Ziel

NAT*LAB is a project that intends to exploit the most advanced technologies and know-how available today in Europe in order to start a cooperative, coordinated and long term effort addressing the issue of a methodology for (semi-)automatic knowledge acquisition for student modeling.
Prototypes have been developed, incorporating advanced artificial intelligence features, which address knowledge acquisition by students.
In the DELTA workplan, this issue is recognized to be of fundamental importance for the authoring and delivery processes. It is clear to the proposers that this is also one of the hardest goals to be reached in the medium-long term. Any intermediate step towards that goal requires not only a critical mass but also a critical quality of research, which can be ensured only by a few selected groups in Europe. The scope of the project covers the indications provided in the workplan, under Task 2.3 i.e. design and develop the shell of a knowledge-based system to represent the characteristics of a learner at different stages of understanding during the learning process. It is also recognized in the DELTA workplan that the set of tasks requires cognitive approaches to the learner model and should be fostered by the results of on-going evaluations on the use of interactive learning systems.

Why NAT*LAB The important technical and methodological contributions of NAT*LAB are ensured by three considerations: 1. the choice of the partners reflects one of the best combinations of specific knowledge, experience and skills on the one side and potential industrial exploitation on the other that may reasonably be assembled and coordinated in Europe today under the constraints of any single project; 2. the Artificial Intelligence and Cognitive Science technical components include the most advanced tools currently available, such as, for instance, overlay models of students versus belief representation and reasoning under multiple viewpoints; tutor-driven dialogues, guided discovery learning and mixed initiative dialogues; machine learning and the automatic construction of deviating models of the learner as a result of experimental data; 3. the methodological component addresses exactly the issue of how to convey incrementally into the learner expert system (L.E.S.) the results of on-going experimentations/evaluations on the use of interactive learning systems including a model of the student, in order to improve the adequacy and the completeness of the available student models.

What Is NAT*LAB from a technical viewpoint The technical kernel of the project consists of the design development, delivery, evaluation of incrementally more refined prototype L.E.S.s. From an initial "in vitro" prototype, by means of "inverted dialogues" (dialogues such that the L.E.S. plays the role of a student and the student "debugs" the system) one collects a growing catalogue of possible interpretations of mistakes (misconceptions) that enrich the subsequent versions of the system, when they have been included into the knowledge available to the L.E.S. Insofar as this inclusion will be automatic, we will be able to talk of a kind of "learning" by the L.E.S. as a result of its own experience with the student. The project includes specific contributions to the methodology from workpackages that will investigate issues in machine learning, second generation expert systems, dialogue management, reason maintenance in a multiple belief space. As the software / hardware technology needed for obtaining a reasonable efficiency with the before mentioned tools is currently above the one available for the delivery of courseware, we will also evaluate how concurrent machines, at present just appearing on the market, may in the medium term be adequate as implementation media with respect to reaction times and costs of the resource.

Wissenschaftliches Gebiet (EuroSciVoc)

CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht. Siehe: Das European Science Vocabulary.

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Koordinator

Società per la Didattica con l'Elaboratore Dida El Srl
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Via Lamarmora 3
20122 Milano
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