LEARNING IN OPEN AND MASSIVE ONLINE COURSES (MOOC):
a proposal for automating the assessment by concept maps.
MOOC qualitative assessment
MOOC automated learning assessment
Concept maps automated learning assessment
Digital and massive learning is a complex process, distributed in different supports and materials, collaborative and rapidly changing, which lacks a qualitative evaluative proposal of learning for this large-scale process. Assessing online learning through concept maps, in open and massive online courses (MOOCs), introduces the qualitative dimension in the understanding of student learning and allows us to identify how the student relates new concepts to old ones, what meanings he built in the courses. On the other hand, there are already some computer programs for the online production of Concept Maps, but not in MOOCs. The use of these computer programs to analyze learning in MOOCs seems promising, since these programs allow the analysis of the student's conceptual understanding and automation of the assessment process. In this sense, this project proposes to analyze the use of automation in the learning assessment process by concept maps, in open and massive online courses (MOOCs). Our specific goals are: to map models and/or automated learning assessment tools in MOOCs; to map models and/or learning assessment tools from concept maps; to try, test and evaluate these models and/or learning assessment tools, seeking to verify their functionality in MOOCs by concept maps; and to propose changes or build a new software tools capable of automating the evaluation of concept maps in MOOCs.