Exploring the relationships between students' learning styles and social media use in educational settings

Abstract

With the growing popularity of Web 2.0 tools in educational settings, it becomes important to investigate the influence of students' learning styles on the adoption and use of these emerging tools. Currently, there are only few studies addressing this issue and most of them are based on student selfreported data, e.g., preference, acceptance or attitude toward social media tools, captured by means of questionnaires. This paper explores the relationships between actual students' use of the Web 2.0 tools and their learning styles classified according to Felder-Silverman model. The context of the study is an undergraduate course on Web Applications' Design, with 45 enrolled students. Several machine learning algorithms for classification, association rule induction and feature selection are applied. Results show that learning styles have a limited influence on the students' level of interaction with each of the four Web 2.0 tools considered.

Dynamic student assessment to advocate personalized learning plan

“…These techniques used for the construction of student profiles obtained primarily from student learning interaction observations. Wide-ranging Artificial Intelligence techniques have been used to profile students' information, and these include the Decision Tree [14], Bayesian networks, Association Rules [15], Genetic algorithms and Neural Networks [16]. With regards to student profile content, to date, interest has been centered on modeling student learning motivation as a fragment of the student profile in learning environment settings.…”

Detecção Automática de Estilos de Aprendizagem utilizando Clusterização e Traços de Navegação

“…É importante notar que, atualmente, bases de dados reais dificilmente contemplam os 16 possíveis tipos de EA descritos no FSLSM, uma vez que isto exigiria a utilização dos mais variados e diversos OA presentes no Moodle. Tal fato pode ser verificado uma vez que os trabalhos que investigam o tema abordado utilizam, de forma geral, dimensões isoladas do FSLSM, tal como [Liyanage et al 2014] e [Leon and Popescu 2013]. Neste sentido, este trabalho propõe um simulador de alunos.…”

Beneficios del uso de técnicas de minería de datos para extraer y analizar datos de twitter aplicados en la educación superior: una revisión sistemática de la literatura

“…• Modelo de los Cinco Grandes (Big Five Personality Traits): utilizado para predecir el tipo de personalidad y la categorización (Bicen, 2014;Uddin, 2016). • Modelo de Aprendizaje y Estilos de Enseñanza en la Educación de Ingeniería: propuesto por (Felder y Silverman, 1988) utilizado en (Hauff et al, 2012;Leon y Popescu, 2013). La Tabla 8 muestra la existencia de 52 artículos que no especifican el uso de una práctica pedagógica, por lo que se considera una limitación para el análisis del presente trabajo.…”