Human system learning, who is in control ? : proceedings of the fifth International Conference on Human System Learning (ICHSL.5) : 22-25 november 2005, Marrakech, Morocco. Human system learning, who is in control ? : actes du cinquième colloque international sur l'Apprentissage Personne Système (CAPS.5)

Human system learning, who is in control ? : proceedings of the fifth International Conference on Human System Learning (ICHSL.5) : 22-25 november 2005, Marrakech, Morocco. Human system learning, who is in control ? : actes du cinquième colloque international sur l'Apprentissage Personne Système (CAPS.5)

Human system learning, who is in control ? : proceedings of the fifth International Conference on Human System Learning (ICHSL.5) : 22-25 november 2005, Marrakech, Morocco. Human system learning, who is in control ? : actes du cinquième colloque international sur l'Apprentissage Personne Système (CAPS.5)
Éditeur: Europia
2007399 pagesISBN 9782909285337
Format: BrochéLangue : Anglais

The Information Society is burgeoning and new technology is shifting educational,

learning and training paradigms. Virtual Universities, Cyber-Classrooms, e-Learning,

Wireless Based Learning, Humanoid Robots, Data Mining, Text Mining,

Web Semantic, etc. may be cryptic catch phrases now but will be within the main

learning and teaching norm in a very near future. Mining tools have become the

more popular Machine Learning issues. The fifth ICHSL observes that, Machine

Learning, Humanoid (mainly Human Robot Interaction) and e-Learning system

have proved the necessity of integrating high level interactive approaches. This

means most validated information has to be retrieved, extracted and transferred

within a Human Computer Collaborative approach in which both Human and

Machine learn from each other. In every validated information production process

roles between users and computers are continually exchanged. Sometimes decisions

are owned and controlled by the machine and at other times by users. In summary,

Interactive M.L. Humanoid Robot and e-Learning tools have to adopt a user

driven design approach. They should learn from and about their users. Both E-learning

systems and Humanoid Robots must embed some machine learning tools.

Moreover, an efficient Interactive Machine Learning system (during the information

construction or validation) has to consider very powerful pedagogical and sensitive

approaches in order to be able to learn from their users. From this perspective

we can observe that distances between Interactive Machine Learning, Humanoid

Robot and e-Learning have become closer and closer.

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