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Evaluation of a Data‐To‐Text System for Verbalizing a Learning Analytics Dashboard
Author(s) -
RamosSoto Alejandro,
VazquezBarreiros Borja,
Bugarín Alberto,
Gewerc Adriana,
Barro Senen
Publication year - 2017
Publication title -
international journal of intelligent systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.291
H-Index - 87
eISSN - 1098-111X
pISSN - 0884-8173
DOI - 10.1002/int.21835
Subject(s) - dashboard , computer science , learning analytics , analytics , service (business) , architecture , data science , data analysis , world wide web , human–computer interaction , multimedia , artificial intelligence , machine learning , information retrieval , data mining , art , economy , economics , visual arts
The SoftLearn Activity Reporter is a data‐to‐text service, which automatically generates textual reports about the activity developed by students within the SoftLearn virtual learning environment. In this paper, we describe the conception of the service, its architecture, and its subsequent evaluation by an expert pedagogue, where 20 full reports generated from real data from an undergraduate course supported by the SoftLearn platform were assessed. Results show that the automatically generated reports are a valuable complementary tool for explaining teachers and students the information comprised in a learning analytics dashboard.