An Intelligent Student Notification System

Authors

DOI:

https://doi.org/10.35819/tear.v10.n2.a5349

Abstract

Abstract: From the growth of the Distance Education modality, the access to knowledge became more accessible due to the ease of admission, wide range of themes and the student autonomy in the process, regarding the possibility of choosing time and place to study. However, the massive number of students that the modality allows to attend, also implies the need to monitor and evaluate the teaching in the same proportion that is offered. In such a context, tutoring has a fundamental role in this process despite facing great difficulty in sustaining this practice. Aiming to provide means to reduce such difficulty, the intelligent notification model was designed to work in open courses, encouraging students, by sending automated and personalized messages to complete the courses. The objective is to mitigate the considered dropout rate that remains in the distance education modality based on the intelligent tutoring methodology that took into account the student's profile as a basis for development, in the sense of academic performance and personal predilections, culminating in highly interactive and personalized phrases. SINTA, the intelligent notification model, was designed and applied partially in an open course, obtaining two positive feedback readings: 40% with students who actively corresponded and 20% of correspondence in the large group with students of varied profiles, determining the possible contributions and positive results that satisfactorily correspond to the research objectives.

Keywords: Intelligent Notification System. Profile of the student. Open courses.

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Author Biographies

  • Mariana Souza, IFRS - Campus Porto Alegre

     Mariana de Souza é graduada em Pedagogia e Mestre pelo Mestrado Profissional em Informática na Educação (IFRS)

  • Fabio Yoshimitsu Okuyama, IFRS - Campus Porto Alegre

     Fabio Y. Okuyama é Bacharel (UEL), Mestre e Doutor (UFGRS) em Ciência da Computação, docente no IFRS – Campus Porto Alegre.

Published

2021-12-10

How to Cite

An Intelligent Student Notification System. #Tear: Journal of Education, Science and Technology, Canoas, v. 10, n. 2, 2021. DOI: 10.35819/tear.v10.n2.a5349. Disponível em: https://periodicos.ifrs.edu.br/index.php/tear/article/view/5349. Acesso em: 6 jun. 2026.