A genetic algorithm approach to recognise students' learning styles

Smart Recommendation Services in Support of Patient Empowerment and Personalized Medicine

“…Given a new situation, it retrieves relevant cases (the ones matching the current problem) and it adapts their solutions to solve the problem. Besides there three mainstream approaches, other are used as well such as genetic algorithms [28], neural networks [29], kNN-algorithms [30], clustering and classification techniques, fuzzy logic or combinations among them [31]. Thus the patient profiling server can be viewed as a data mining repository which will operate over patient's data sources.…”

In the context of multiple intelligences theory, intelligent data analysis of learning styles was based on rough set theory

“…In the identification of the learning styles several approaches have been tested. One of these approaches was Yannibelli, Godoy, and Amandi's (2006) who developed and applied a genetic algorithm to identify learning styles based on students' actions. Kappe, Boekholt, den Rooyen, and Van der Flier (2009) examined the predictive validity of the learning style questionnaire by multiple and specify learning criteria.…”

Web mining for navigation problem detection and diagnosis in Discapnet: A website aimed at disabled people

“…Web‐usage mining can be used to extract knowledge from observed actions. A wide variety of techniques, such as case‐based reasoning (Godoy, Schiaffino, & Amandi, ), Bayesian networks (Garcia, Amandi, Schiaffino, & Campo, ), association rules (Schiaffino & Amandi, ), genetic algorithms (Yannibelli, Godoy, & Amandi, ), neural networks (Villaverde, Godoy, & Amandi, ), and topic modeling (Fujimoto, Etoh, Kinno, & Akinaga, ), and so on, have been used to this end. These techniques have been applied to many areas, but, to our knowledge, they have not been applied to detecting navigation problems in a website aimed at users with disabilities.…”