Fuzzy multicriteria analysis of m-learning system

Stanic, P. M.; Covic, Zlatko; Kiss, Bernhard

doi:10.1109/sisy.2012.6339544

Cited by 4 publications

(4 citation statements)

References 13 publications

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“…AHP assisted them in the design of IJWIS 10,2 their algorithm, which utilized a rule-based system to decide about suggesting different mobile devices to the general public. They determined that AHP is a reliable tool to examine user preferences; Stanic et al (2012) implemented a multi-criteria prioritization algorithm to determine activity preferences in the e-learning materials. The users' opinions are processed by a fuzzy system that adapts the learning materials according to preferences.…”

Section: Related Workmentioning

confidence: 99%

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Content adaptation for students with learning difficulties: design and case study

Lancheros-Cuesta

Carrillo-Ramos

Pavlich-Mariscal

2014

International Journal of Web Information Systems

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Purpose – This article aims to propose an adaptation algorithm that combines the analytical hierarchy process (AHP), a rule-based system, and a k-means clustering algorithm. Informatic tools are very useful to enhance the learning process in the classroom. The large variety of these tools require advanced decision-making techniques to select parameters, such as student profiles and preferences, to adjust content and information display, according to specific characteristics and necessities of students. They are part of the Kamachiy–Idukay (KI), a platform to offer adaptative educational services to students with learning difficulties or disabilities. Design and Methodology – The design and implementation of the adaptation algorithm comprises the following phases: utilization of the AHP to determine the most important student parameters, parameter to take into account in the adaptation process, such as preferences, learning styles, performance in language, attention and memory aspects and disabilities; designing the first part of the adaptation algorithm, based on a rule-based system; designing the second part of the adaptation algorithm, based on k-means clustering; integration of the adaptation algorithm to KI; and validation of the approach in a primary school in Bogotá (Colombia). Approach – The main approach is the application of computational techniques, namely, rule-based systems and k-means clustering, plus an AHP prioritization at design time to yield a system to support the teaching–learning process for students with disabilities or learning difficulties. Findings – The algorithm found several groups of students with specific learning difficulties that required adapted activities. The algorithm also prioritized activities according to learning style and preferences. The results of the application of this system in a real classroom yielded positive results. Limitations of the research – The algorithm performs adaptation for students with mild disabilities or learning difficulties (language, attention and memory). The algorithm does not address severe disabilities that could greatly affect cognitive abilities. Contributions – The main contribution of this paper is an adaptation algorithm with the following distinctive characteristics, namely, designed utilizing the AHP, which ensures a proper prioritization of the student characteristics in the adaptation process, and utilizes a rule-based system to identify different adaptation scenarios and k-means clustering to group students with similar adaptation requirements.

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Section: Related Workmentioning

confidence: 99%

“…This algorithm comprises a rule-based system and a k-means clustering algorithm. Although AHP has been utilized by other authors to design the rule-based adaptation algorithm (Katayama et al, 2005;Stanic et al, 2012), the combination of AHP, a rule-based system, and k-means clustering is novel in the context of adaptive e-learning systems.…”

Section: Introductionmentioning

confidence: 99%

Content adaptation for students with learning difficulties: design and case study

Lancheros-Cuesta

Carrillo-Ramos

Pavlich-Mariscal

2014

International Journal of Web Information Systems

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“…Stanić et al [129], implementan un algoritmo de priorización multi-criterio para determinar las preferencias de actividades en los materiales m-learning. La opinión de los usuarios, en combinación con un sistema difuso, permite adaptar los materiales de aprendizaje de mayor preferencia.…”

Section: Trabajos Con Relevancia En Adaptaciónunclassified

“…Al diseñar el proceso adaptador, se evidenció un alto número de variables provenientes del modelo adaptativo (ALS), tales como: las preferencias, la discapacidad, el estilo de aprendizaje, las dificultades en aspectos como la memoria, atención y lenguaje del estudiante, requiriendo de una técnica de priorización. La utilización de AHP (Analytic Hierarchy Process), permitió establecer prioridades en el proceso de adaptación de contenido y así reducir conflictos entre los mismos por ejemplo, conflictos entre las preferencias del estudiante y su estilo de aprendizaje o recomendaciones de experto para el despliegue de actividades en el caso en el que se presente algún tipo de discapacidad o dificultades en su proceso de aprendizaje así como lo realizado por otros autores en otras aplicaciones [127][128] [129][131] [132].…”

Section: Indagación a Docentesunclassified

Sistema adaptivo de apoyo a los procesos de enseñanza-aprendizaje orientados a estudiantes con o sin discapacidad

Cuesta¹

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Las herramientas tecnológicas son hoy en día un apoyo didáctico y fortalece el proceso de enseñanza y aprendizaje en las aulas de clase. Las políticas de inclusión social, permiten hoy en día en una misma aula de clase, estudiantes con o sin discapacidades y/o dificulta- des, siendo necesaria la implementación de estrategias metodológicas ajustadas a las características y patologías que pueden presentar los estudiantes. La variedad y cantidad de parámetros encontrados en los sistemas de información que apoyan procesos de aprendizaje, re- quieren de técnicas avanzadas para la toma de decisiones, con el fin de ajustar el contenido y el despliegue de la información a las características y necesidades de los estudiantes y al contexto en el que se desarrolla su proceso de aprendizaje. El presente documento de tesis de doctorado, muestra el desarrollo y la implementación de una plataforma que permite la adaptación del contenido y del despliegue provista a través de servicios educativos a estudiantes teniendo en cuenta la discapacidad y/o dificultades en su proceso de aprendizaje, sus preferencias, su estilo de aprendizaje.

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