Reveling the Evolution of Semantic Content through Visual Analysis

The literature in educational research has established that monitoring student learning is a crucial component of high quality education. When instructors and students are not in a face-to-face traditional environment, new forms of student monitoring must be explored. The effective use of CMS requires that instructors been provided with appropriate means of diagnosing problems so that they can take immediate actions to prevent or overcome those situations. The aim of this research is to support the comprehension of the evolution of the semantic content within eLearning environments through uncovering by means of visual representations. Therefore, we have carried out the mining of an eLearning database and represented the more relevant results by depicting them using a visualization based in the tag cloud visual representation. In this paper, we introduce a visual representation, which integrate a wave-graph and a bar-graph into a tag cloud representation to understand the evolution of words.