From Training KPIs to Learning KPIs: Ensuring Effectiveness in Learning Processes Through Predictive Analytics and Data-Based Tutoring Actions

This work presents the analysis model of the study data available in the LMS platforms specifically designed to analyze potential critical issues as a functional indicator for the possible achievement of the training objectives and completion of the course. The illustrated system highlights how the use of statistical indicators and predictability can be an effective tool for the early identification of possible critical issues in the field of training results, as well as design and organizational inconsistencies that can weigh on the effectiveness of the training system made available. Our work explains how adopting a data analysis model applied to training environments provides the tutoring system with adequate information on potential critical issues to favor targeted interventions on the participants to prevent risks of training ineffectiveness. At the same time, it analyzes the global quality of the courses made available through a perspective of data exploration that starts from the learning experience and enhances the data already present in the LMS platforms.