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Appears in:
EDULEARN16 Proceedings (browse)
Pages: 1141-1148
Publication year: 2016
ISBN: 978-84-608-8860-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2016.1237

Conference name: 8th International Conference on Education and New Learning Technologies
Dates: 4-6 July, 2016
Location: Barcelona, Spain

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FEED-FORWARD NEURAL NETWORKS: AN APPLICATION TO THE PREDICTION OF STUDENTS' PERFORMANCE

G. Messineo1, S. Vassallo2

1Università Cattolica del Sacro Cuore and IIS Falcone - Righi (ITALY)
2Università Cattolica del Sacro Cuore (ITALY)
During the last few years, the application of artificial intelligence in education has grown very fast and has enabled the development of more sophisticated and more efficient models for predicting students' performances. These models allow to detect a broader range of students' behavior, permitting to distinguish in an early stage lower performers from higher ones. In this context, neural nets, especially static ones with feed-forward architecture, have been extensively studied. In this paper we briefly describe neural nets from a theoretical point of view and we show an application of neural nets to the results of the exercises done by the students of one of the courses of Financial Mathematics with the platform M.In.E.R.Va. (already presented at EDULEARN 14) and we try to predict students' performances in the intermediate exam. The analysis is performed using the statistical software R, and in particular the package "neuralnet".
keywords: e-learning, neural nets.
@InProceedings{MESSINEO2016FEE,
author = {Messineo, G. and Vassallo, S.},
title = {FEED-FORWARD NEURAL NETWORKS: AN APPLICATION TO THE PREDICTION OF STUDENTS' PERFORMANCE},
series = {8th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN16 Proceedings},
isbn = {978-84-608-8860-4},
issn = {2340-1117},
doi = {10.21125/edulearn.2016.1237},
url = {http://dx.doi.org/10.21125/edulearn.2016.1237},
publisher = {IATED},
location = {Barcelona, Spain},
month = {4-6 July, 2016},
year = {2016},
pages = {1141-1148}}
TY - CONF
AU - G. Messineo AU - S. Vassallo
TI - FEED-FORWARD NEURAL NETWORKS: AN APPLICATION TO THE PREDICTION OF STUDENTS' PERFORMANCE
SN - 978-84-608-8860-4/2340-1117
DO - 10.21125/edulearn.2016.1237
PY - 2016
Y1 - 4-6 July, 2016
CI - Barcelona, Spain
JO - 8th International Conference on Education and New Learning Technologies
JA - EDULEARN16 Proceedings
SP - 1141
EP - 1148
ER -
G. Messineo, S. Vassallo (2016) FEED-FORWARD NEURAL NETWORKS: AN APPLICATION TO THE PREDICTION OF STUDENTS' PERFORMANCE, EDULEARN16 Proceedings, pp. 1141-1148.
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