RT info:eu-repo/semantics/article
T1 ¿El contenido que compartes en los foros eLearning podría revelar qué tipo de estudiante eres?
A1 Sánchez López, Sheila Lucero
A1 Díaz Redondo, Rebeca P.
A1 Fernández Vilas, Ana
K1 applied computing
K1 learning management systems
K1 e-learning
K1 Learning Analytics
K1 social interaction
K1 learnings forums
AB Trending topics on forums or social networks arenow being analysed to know our preferences and needs. Thisline of thought can be applied to the educational context. Inthis study we want to analyze what information on the profileof students can be inferred by analyzing their performance ineducational forums and if it is possible to classify them byapplying a taxonomy with a quantitative and qualitativeperspective of their social interaction.To achieve this, our methodology will be divided into twostages. The first stage consists of preprocessing, classifying andanalyzing the messages of the educational forum. In the secondstage, the analysis of the messages in the forums is combinedwith a taxonomy of five different student profiles. Theseprofiles were built according to two types of interactions (socialinteraction and interaction with content) with the onlineplatform from a quantitative perspective. However, this articleproposes to analyze the social interactions of the five proposedprofiles from a qualitative perspective.Our results validate the application of the ExtendedTaxonomy when qualitative and quantitative approaches areapplied.
YR 2021
FD 2021
LK http://riull.ull.es/xmlui/handle/915/40155
UL http://riull.ull.es/xmlui/handle/915/40155
LA es
DS Repositorio institucional de la Universidad de La Laguna
RD 27-dic-2024