HIT : a hybrid intelligent training system for knowledge engineers / Jean-François Arcand & Kim Dalkir.: Co28-1/102-1993E-PDF
"The HIT system is a computer-based training tool or laboratory that allows students to interact with these three knowledge acquisition modules. In addition, learners can also apply what they have learned immediately, via interaction with simulated experts, the design of inductive systems and the design of a neural network. In this way, both the knowledge and the know-how of knowledge engineering can best be imparted. Furthermore, the HIT system has a learning style diagnosis component which can assess how individual learners report they learn best, through completion of two standard learning style tests, and how they actually learn, through automated monitoring of how they interact with the system. This provides feedback to learners on their strengths and weaknesses"--pages 3-4.
Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.873190&sl=0
| Department/Agency | Canada. Industry and Science Canada. Centre for Information Technologies Innovation (Canada). |
|---|---|
| Title | HIT : a hybrid intelligent training system for knowledge engineers / Jean-François Arcand & Kim Dalkir. |
| Publication type | Monograph |
| Language | [English] |
| Other language editions | [French] |
| Format | Electronic |
| Electronic document | |
| Other formats | Paper-[English] |
| Note(s) | Issued also in French under title: HIT : un système intelligent pour les cogniticiens. Digitized edition from print [produced by Innovation, Science and Economic Development Canada]. "November 1992." Incorrect catalogue number (Co28-1/105-1993E) and ISBN (0-662-21033-6) printed in this publication. Includes bibliographical references. Also available in print format. |
| Publishing information | Laval : Centre for Information Technologies Innovation, Performance Support Systems, 1992. ©1993 |
| Author / Contributor | Arcand, Jean-François, author. Dalkir, Kim, author. |
| Description | 1 online resource (13 pages) |
| Catalogue number |
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| Subject terms | Intelligent systems |
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