Smart Innovation, Systems and Technologies, volume 144, pages 107-115
Machine learning approach of predicting learning outcomes of MOOCs to increase its performance
Publication type: Book Chapter
Publication date: 2019-05-31
Quartile SCImago
Q4
Quartile WOS
—
Impact factor: —
ISSN: 21903018, 21903026
Abstract
Accumulated statistics on the activity of MOOC’s students allow to predict their future behavior and learning outcomes. This article suggests a hypothesis about the possibility of predicting a fact of passing an exam by a student using his activity in the first half of the course. To solve this problem, various machine learning approaches and models have been proposed. According to the results, the most significant features were obtained for assessing the fact that the exam was passed by the students. As a result of model’s prediction, a list of participants was received. We offer to put an additional impact on these students to improve their performance of learning in the course.
Citations by journals
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Frontiers in Education
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Frontiers in Education
1 publication, 33.33%
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Journal of Science Education and Technology
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Journal of Science Education and Technology
1 publication, 33.33%
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International Journal of Educational Technology in Higher Education
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International Journal of Educational Technology in Higher Education
1 publication, 33.33%
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1
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Citations by publishers
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1
2
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Springer Nature
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Springer Nature
2 publications, 66.67%
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Frontiers Media S.A.
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Frontiers Media S.A.
1 publication, 33.33%
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1
2
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Lisitsyna L. S., Oreshin S. A. Machine learning approach of predicting learning outcomes of MOOCs to increase its performance // Smart Innovation, Systems and Technologies. 2019. Vol. 144. pp. 107-115.
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Lisitsyna L. S., Oreshin S. A. Machine learning approach of predicting learning outcomes of MOOCs to increase its performance // Smart Innovation, Systems and Technologies. 2019. Vol. 144. pp. 107-115.
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TY - GENERIC
DO - 10.1007/978-981-13-8260-4_10
UR - https://doi.org/10.1007%2F978-981-13-8260-4_10
TI - Machine learning approach of predicting learning outcomes of MOOCs to increase its performance
T2 - Smart Innovation, Systems and Technologies
AU - Lisitsyna, Lubov S
AU - Oreshin, Svyatoslav A
PY - 2019
DA - 2019/05/31 00:00:00
PB - Springer Nature
SP - 107-115
VL - 144
SN - 2190-3018
SN - 2190-3026
ER -
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@incollection{2019_Lisitsyna,
author = {Lubov S Lisitsyna and Svyatoslav A Oreshin},
title = {Machine learning approach of predicting learning outcomes of MOOCs to increase its performance},
publisher = {Springer Nature},
year = {2019},
volume = {144},
pages = {107--115},
month = {may}
}
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