ASSIS: Intelligent Assistant as a Service for Distance Learning Platforms

• Francisco Aislan da Silva Freitas IFCE
• Bruno da Silva Queiroz UECE
• Cassandra Ribeiro Joye IFCE
• Paulo Henrique Mendes Maia Universidade Estadual do Ceará

DOI: https://doi.org/10.5753/cbie.sbie.2020.1423

Abstract

School dropout occurs in several teaching modalities, causing losses to everyone involved in the educational process. Mapping, mining, and treating student behavior using indicators is possible with Artificial Intelligence techniques integrated into a solution such as ASSIS, an Intelligent Assistant is a service for distance learning platforms. This article presents how a structure was developed, applied, and validated to predict potential situations of school dropout using machine learning techniques with behavioral characteristics of students in distance learning platforms as a methodology. The best AI model was the Support Vector Machine, for which the parameters Accuracy, F Score, Recall, and Precision obtained the results 95.84%, 95.79%, 94.74%, and 96.88%, respectively.

Keywords: School dropout, Machine learning, Distance Education

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