SEEVA for postgraduate studies of the Universidad Santo Tomás, Bucaramanga section
Abstract
Virtual teaching-learning environments (VLE) are resources widely used in online education. In order to ensure their effectiveness, it is essential that they have high quality and be evaluated. However, despite the availability of various evaluation tools and systems, there is still no comprehensive approach that encompasses pedagogical, technical and organizational aspects. For this reason, in this work the Learning Environment Evaluation System (SEEVA) is proposed, which was created for the EVA of the graduate programs of the Santo Tomás University, Bucaramanga section. This is based on the criteria integration that comes from systems such as HEODAR, data mining, FLOE and LORI. To develop it, an exhaustive diagnosis and evaluation of the criteria used in the aforementioned Systems were carried out. The result generated an evaluation framework that covers three dimensions (pedagogical, technical and organizational aspects) with detailed criteria and sub-criteria. The fundamental objective of SEEVA is to provide EVAs with a personalized improvement plan, which will allow them to be updated and optimized according to the specific needs of the educational context and the latest trends in digital tools.
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