About this paper

Appears in:
Pages: 5915-5923
Publication year: 2015
ISBN: 978-84-606-5763-7
ISSN: 2340-1079

Conference name: 9th International Technology, Education and Development Conference
Dates: 2-4 March, 2015
Location: Madrid, Spain

A COMPUTATIONAL MODEL FOR FORECASTING UNDERGRADUATE STUDENT PERFORMANCE BASED ON ABSENCES AND EVALUATION GRADES

F. Barbieri, G. Taroco, R. Maia

Centro Universitário da FEI (BRAZIL)
One of the important issues in education is how to track students’ performance properly, taking into consideration the increasing number of students in a traditional classroom (or virtual classroom) in a class, while there is only one teacher yet. The question is how a teacher could identify students that will present some difficulty in the discipline, and understand their individual difficulties in order to help them. For such kind of identification, it is strictly necessary for the teacher has a previous knowledge about performance of each student and his absence in the class to be able to relate such past performance the impact of such past difficulties in the current discipline. In this work it is presented a model based on complex networks paradigm developed to forecast students’ performance in the course disciplines in the current term based on the grades and absences of past terms as a way to identify students that potentially will experiment some difficulty in the discipline and will present a not so good score. The initial results indicates the possibility to forecast grades of the ongoing disciplines in a term of the most students of one class. Using such grade estimative teacher may have a diagnosis of the students and would be able to give them some attention in order to help them to solve such difficulties. The data for model evaluation is the grading of undergraduate students of a computer science course.
@InProceedings{BARBIERI2015ACO,
author = {Barbieri, F. and Taroco, G. and Maia, R.},
title = {A COMPUTATIONAL MODEL FOR FORECASTING UNDERGRADUATE STUDENT PERFORMANCE BASED ON ABSENCES AND EVALUATION GRADES},
series = {9th International Technology, Education and Development Conference},
booktitle = {INTED2015 Proceedings},
isbn = {978-84-606-5763-7},
issn = {2340-1079},
publisher = {IATED},
location = {Madrid, Spain},
month = {2-4 March, 2015},
year = {2015},
pages = {5915-5923}}
TY - CONF
AU - F. Barbieri AU - G. Taroco AU - R. Maia
TI - A COMPUTATIONAL MODEL FOR FORECASTING UNDERGRADUATE STUDENT PERFORMANCE BASED ON ABSENCES AND EVALUATION GRADES
SN - 978-84-606-5763-7/2340-1079
PY - 2015
Y1 - 2-4 March, 2015
CI - Madrid, Spain
JO - 9th International Technology, Education and Development Conference
JA - INTED2015 Proceedings
SP - 5915
EP - 5923
ER -
F. Barbieri, G. Taroco, R. Maia (2015) A COMPUTATIONAL MODEL FOR FORECASTING UNDERGRADUATE STUDENT PERFORMANCE BASED ON ABSENCES AND EVALUATION GRADES, INTED2015 Proceedings, pp. 5915-5923.
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