RT info:eu-repo/semantics/article
T1 Una Solución para la Administración del Ciclo de Vida de Learning Analytics en un LMS: AnalyTIC
A1 Simanca, Fredys
A1 Gonzalez, Rubén
A1 Rodríguez, Luis
A1 Burgos, Daniel
K1 Learning Analytics
K1 Educational Technology
K1 Online Education
K1 Personalised Learning
K1 Personalised Mentoring
AB Learning Analytics (LA) has a significant impact inlearning and teaching processes. These processes can be improvedusing the available data retrieved from students’ activity insidethe virtual classrooms of a learning management system (LMS).This process requires the development of a tool that allows one tohandle the retrieved information properly. This paper presentsa solution to this need, in the form of a development model andactual implementation of an LA tool. Four phases (Explanation,Diagnosis, Prediction and Prescription) are implemented in thetool, allowing a teacher to track students’ activity in a virtualclassroom via the Sakai LMS. It also allows for the identificationof users who face challenges in their academic process and theinitiation of personalised mentoring by the teacher or tutor. Theuse of the tool was tested on groups of students in an algorithmscourse in the periods 2017-1, 2017-2, 2018-1 and 2018-2, witha total of 90 students – in parallel with the control groups inthe same periods that totalled 95 students – obtaining superioraverages in the test groups versus the control groups, whichevidenced the functionality and utility of the software.
YR 2019
FD 2019
LK http://riull.ull.es/xmlui/handle/915/40362
UL http://riull.ull.es/xmlui/handle/915/40362
LA es
DS Repositorio institucional de la Universidad de La Laguna
RD 26-dic-2024