Revisão dos Modelos de Estilos de Aprendizagem Aplicados à Adaptação e Personalização dos Materiais de Aprendizagem

Parâmetros distintos podem ser utilizados para adaptar e personalizar os ambientes de aprendizagem computacionais, um deles e o estilo de aprendizagem. Existem diversos modelos disponiveis que possibilitam a identificacao do estilo, porem nao existem estudos que explorem quais destes modelos sao os mais utilizados para prover adaptacao e personalizacao de materiais de aprendizagem. Alem disso, existem poucos detalhes referentes ao mapeamento entre as escalas dos modelos de estilo de aprendizagem e as caracteristicas dos materiais de aprendizagem. Esta pesquisa tem como objetivo explorar e apontar algumas respostas para estas questoes.

[1]  Yueh-Min Huang,et al.  Using a style-based ant colony system for adaptive learning , 2008, Expert Syst. Appl..

[2]  Nigel A. Beacham,et al.  An investigation into the effects that digital media can have on the learning outcomes of individuals who have dyslexia , 2006, Comput. Educ..

[3]  F. Coffield Learning styles and pedagogy in post-16 learning: a systematic and critical review , 2004 .

[4]  Shehab A. Gamalel-Din Smart e-Learning: A greater perspective; from the fourth to the fifth generation e-learning , 2010 .

[5]  G. Lawrence People types and tiger stripes: A practical guide to learning styles , 1979 .

[6]  Kinshuk,et al.  Coping with mismatched courses: students’ behaviour and performance in courses mismatched to their learning styles , 2009 .

[7]  D. Kolb Management and the Learning Process , 1976 .

[8]  Gwo-Jen Hwang,et al.  Development of an adaptive learning system with two sources of personalization information , 2008, Comput. Educ..

[9]  R. Felder,et al.  Learning and Teaching Styles in Engineering Education. , 1988 .

[10]  Ardeshir Bahreininejad,et al.  A context-aware adaptive learning system using agents , 2011, Expert Syst. Appl..

[11]  Zoran Budimac,et al.  E-Learning personalization based on hybrid recommendation strategy and learning style identification , 2011, Comput. Educ..

[12]  Olga C. Santos,et al.  Modeling recommendations for the educational domain , 2010, RecSysTEL@RecSys.

[13]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[14]  Peter Brusilovsky,et al.  Methods and techniques of adaptive hypermedia , 1996, User Modeling and User-Adapted Interaction.

[15]  Personalização em Sistemas de Gerenciamento da Aprendizagem em Conformidade com o Padrão SCORM , 2009 .

[16]  Mohamed Jemni,et al.  A fully personalization strategy of E-learning scenarios , 2010, Comput. Hum. Behav..

[17]  Chuni Wu,et al.  An attribute-based ant colony system for adaptive learning object recommendation , 2009, Expert Syst. Appl..

[18]  Jens Liegle,et al.  The effect of learning styles on the navigation needs of Web-based learners , 2006, Comput. Hum. Behav..

[19]  Gozde Bozdagi Akar,et al.  Automatic detection of learning styles for an e-learning system , 2009, Comput. Educ..

[20]  Nian-Shing Chen,et al.  Learning styles and cognitive traits - Their relationship and its benefits in web-based educational systems , 2009, Comput. Hum. Behav..

[21]  Barbara Kitchenham,et al.  Procedures for Performing Systematic Reviews , 2004 .

[22]  Chun-Yen Chang,et al.  A web-based tutoring system with styles-matching strategy for spatial geometric transformation , 2006, Interact. Comput..