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Minimal model of associative learning for cross-situational lexicon acquisition
(Academic PressMaryland Heights, 2012-12)
An explanation for the acquisition of word-object mappings is the associative learning in a crosssituational scenario. Here we present analytical results of the performance of a simple associative learning algorithm for ...
M-learning (mobile learning) in practice: a training experience with it professionals
(TECSI Laboratório de Tecnologia e Sistemas de Informação - FEA/USP, 2010)
This paper presents the results of a study that addresses the following question: what are the real possibilities of m-learning (mobile learning) for the development of individual competences and also for collaboration in ...
INITIAL CONSIDERATIONS ABOUT A RHIZOMATIC LEARNING ENVIRONMENT
(Univ Estadual Paulista-unesp, Fac Ciencias Letras Assis, 2018-05-01)
This study proposes the creation of a learning network, structured in accordance with the assumptions of open education aiming to promote learning, exchange and collaboration among teachers participating in an in-service ...
Unlimited Learning: The Mutable Learning Assistant
(Tecnológico de Monterrey, 2017)
Performance profile of reading and metalinguistic skills in students with dyslexia, learning difficulties and learning disorders
(2020-01-01)
Introduction: The reading process involves several cognitive skills, such as metalinguistic skills and memory. These processes lead the student to understand the ideas of a text for the creation of mental models, based on ...
Cross-situational and supervised learning in the emergence of communication
(JOHN BENJAMINS PUBLISHING COMPANY, 2011)
Scenarios for the emergence or bootstrap of a lexicon involve the repeated interaction between at least two agents who must reach a consensus on how to name N objects using H words. Here we consider minimal models of two ...