Mining Retention Rules from Student Transcripts: A Case Study of the programs at a Federal University | Zendy

Marcelo Silva dos Santos | Zendy; Liz C. De Santana | Zendy; Quemuel L. Pereira | Zendy; Marcos Silva | Zendy; Daniela Barreiro Claro | Zendy; Veronica M. C. S. Lima | Zendy; Vaninha Vieira | Zendy; Silvana Soares Costa Ribeiro | Zendy; Ana R. Telles | Zendy; Denivaldo Lopes | Zendy

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Mining Retention Rules from Student Transcripts: A Case Study of the programs at a Federal University

Author(s) -

Marcelo Silva dos Santos,

Liz C. De Santana,

Quemuel L. Pereira,

Marcos Silva,

Daniela Barreiro Claro,

Veronica M. C. S. Lima,

Vaninha Vieira,

Silvana Soares Costa Ribeiro,

Ana R. Telles,

Denivaldo Lopes

Publication year - 2014

Publication title -

anais do ... simpósio brasileiro de informática na educação/anais do simpósio brasileiro de informática na educação

Language(s) - English

Resource type - Conference proceedings

eISSN - 2316-6533

pISSN - 2176-4301

DOI - 10.5753/cbie.sbie.2014.762

Subject(s) - flowchart , computer science , work (physics) , retention rate , mathematics education , psychology , programming language , computer security , engineering , mechanical engineering

Due to the increase in inflows mainly because of REUNI procedures and low completion rates observed at a Federal University, it is necessary to identify which courses may cause the students to remain in their programs longer than expected or even leaving the university before their conclusion. In this work, we suggest that the combinations of courses in a semester may not be appropriate thus causing a student retention. We present a case study on analyzing retention rules in all programs at a Federal University. With the results obtained by mining academic transcripts, we discuss how changes can be made in the flowchart so as to decrease the student retention rates.

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