PREDICTING STUDENTS’ ACADEMIC PERFORMANCE USING ARTIFICIAL NEURAL NETWORK : A CASE STUDY FROM FACULTY OF ORGANIZATIONAL SCIENCES

Sonja ISLJAMOVIC; Milija SUKNOVIC

Makale detayları

PREDICTING STUDENTS’ ACADEMIC PERFORMANCE USING ARTIFICIAL NEURAL NETWORK : A CASE STUDY FROM FACULTY OF ORGANIZATIONAL SCIENCES

Yazarlar:

Sonja ISLJAMOVIC | Milija SUKNOVIC

Ana Başlıklar:

Sosyoloji & antropoloji

Dergi:

The Eurasia Proceedings of Educational and Social Sciences 2014 Vol.1, pp.68-72

Belge Tipi:

Makale

Yayın Tarihi:

5/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000659722

Özet:

 


University
students’ retention and performance in higher education are important issues
for educational institutions, educators, and students. Educational data mining
is focused on developing models and methods for exploring data collected from
educational environments in order to better understand and improve educational
process. Analyzing and determining patterns among indicators of academic
success (study grade point average) and their correlation to students’
personal, high school, admission data can present be a good foundation in
process to adapt and improve the curriculum of higher education institutions,
according to the students’ characteristics. In this paper we use different
artificial neural network algorithms in order to find the best suited model for
prediction of students' success at the end of their studies. Additionally, we
identified which factors had the crucial influence on overall students’
success. Data were collected from the graduated students of Faculty of
Organizational Sciences, University of Belgrade. 

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Makale detayları

PREDICTING STUDENTS’ ACADEMIC PERFORMANCE USING ARTIFICIAL NEURAL NETWORK : A CASE STUDY FROM FACULTY OF ORGANIZATIONAL SCIENCES

Yazarlar: Sonja ISLJAMOVIC | Milija SUKNOVIC

Ana Başlıklar: Sosyoloji & antropoloji

Dergi: The Eurasia Proceedings of Educational and Social Sciences 2014 Vol.1, pp.68-72

Belge Tipi: Makale

Yayın Tarihi: 5/2014

Belge Dili: Türkçe

Document ID (Org No.): 2000659722

Sayı

PREDICTING STUDENTS’ ACADEMIC PERFORMANCE USING ARTIFICIAL NEURAL NETWORK : A CASE STUDY FROM FACULTY OF ORGANIZATIONAL SCIENCES

Yazarlar:

Sonja ISLJAMOVIC | Milija SUKNOVIC

Ana Başlıklar:

Sosyoloji & antropoloji

Dergi:

The Eurasia Proceedings of Educational and Social Sciences 2014 Vol.1, pp.68-72

Belge Tipi:

Makale

Yayın Tarihi:

5/2014

Belge Dili:

Türkçe

Document ID (Org No.):

2000659722