Title:	LEARNING ANALYTICS TO EVALUATE THE EFFECTIVENESS OF HIGHER EDUCATION STUDENT FAILURE PREVENTION
Author(s):	Francesco Floris, Marina Marchisio, Matteo Sacchet and Sergio Rabellino
ISBN:	978-989-8704-22-1
Editors:	Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías
Year:	2020
Edition:	Single
Keywords:	Data Analytics, Learning Analytics, MOOCs, Secondary to Tertiary Transition, University Guidance, University Orientation.
Type:	Full
First Page:	265
Last Page:	272
Language:	English
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Full Contents:	click to dowload
Paper Abstract:	Open Online Courses can serve different purposes: in the case of Orient@mente at the University of Torino, they aim at facilitating the transition from secondary to tertiary education with automatic evaluation tests that students can try in order to understand their capabilities in - and their attitude towards - certain disciplines, and with remedial courses to fill the gaps in their knowledge. The university strategy of Orient@mente first started in 2014 and, after six years of deployment of the online platform, it has collected many data from students that were interested in starting a university course. The natural comparison and correlation analysis juxtapose the academic results of students who practice self-assessment in Orient@mente with the other university students. The measurable that we considered in this comparison is the average number of ECTS acquired during the first year, since this is a number that is considered for the university evaluation system - stakeholders in particular check the number of students who obtain more than 40 first-year ECTS. According to specific rules, we put together dataset from different origins, the platform logs, and users with the university record system. The results of this analysis, presented in this work, confirm the positive impact of Orient@mente on students, with statistical significance.
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