Intelligent Tutoring in the field of Programming: Establishing bases for Learning Analytics
Keywords:
Programming, Intelligent Tutoring, Educational Paths, Learning AnalyticsAbstract
This work is part of Research Project N ° 2497 of the Research Council of the National University of Salta, Argentina, by the name of “Artificial Intelligence Technologies applied to the construction of a Learning Engine in the Programming field”. Among the specific objectives formulated in the Project, this work focuses on developing and supporting Smart Tutoring methodologies. We use face-to-face and virtual spaces to define students' activity and allow us to recommend the most appropriate educational paths for each student. We will apply statistical methods on two types of data: qualifications obtained in the first evaluation of the initial Programming subject, and students’ opinions gathered through a survey, in which they assess the difficulty of each problem they are presented with and the level of confidence for the solution they offer. We present the stratification derived from the results and its corresponding mentoring strategy is.
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Copyright (c) 2020 Marcia Mac Gaul, Eduardo Fernández, Marcela López
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