Natural Language to Facilitate the Analysis of Statistical Evaluation of Educational Digital Games

Published: 9 January 2023| Version 1 | DOI: 10.17632/6v7h5xcmz7.1
Contributor:
Nayeth Solorzano

Description

The application of educational digital games (EDG) requires multiple perspectives for an optimal adaptation. This study shows how relevant feedback is presented in simple outcome reports of EDG-based learning for teachers and parents in Natural Language (NL). NL as a Machine Learning process also can represent quantitative data sets in consumable Spanish language statements. The objective is to improve outcomes of EDG platforms using a cloud-based dashboard used to evaluate student EDG application behavioral efficiency. A novel tool is proposed to provide simple language explanations rather than statistical representations of feedback to parents and teachers in marginal areas of developing economies. With fuzzy logic, the researchers present verbatim explanations of student behavior towards educational EDG. Results reveal comprehensive, simple, or colloquial Spanish language information for parents and teachers to provide improved evaluation keys to enhance student learning via EDG related to the school curricula.

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