Expert System To Engage CHAEA Learning Styles, ACRA Learning Strategies and Learning Objects into an E-Learning Platform for Higher Education Students

Autor:	José Angel Montes Olguín, Julio Zenón García Cortés, Francisco Javier Carrillo García, Ma. de la Luz Carrillo González, Antonia Mireles Medina
Rok vydání:	2016
Předmět:	Engineering Knowledge management business.industry E-learning (theory) Educational technology Learning object computer.software_genre Experiential learning Expert system Learning styles Knowledge base Active learning Mathematics education business computer
Zdroj:	Advances on P2P, Parallel, Grid, Cloud and Internet Computing ISBN: 9783319491080 3PGCIC
Popis:	The present work proposes to increase a student learning style on which he is weaker and to accelerate his learning process through a solution based on an expert system (ES) to engage CHAEA learning styles, ACRA learning strategies and learning objects (LO), into an e-learning platform for higher education students. The main expert system activity is to select a learning objects block that allows shaping a learning strategy and present this strategy in an e-learning platform, taking as a reference the CHAEA questionnaire. To develop our solution we use set theory and conceptual graphs (CG) for designing the knowledge base (KB) and the inference engine (IE), to solve learning objects interoperability we take the “Norma mexicana para la interoperabilidad entre entornos de objetos de aprendizaje”, finally we construct the learning strategy considering a previous work which recommends a block of ACRA learning tactics according to the CHAEA learning styles.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ba37a4865bd0fc1cc33e60bcd9c09d7b https://doi.org/10.1007/978-3-319-49109-7_89 Zobrazit plný text záznamu