Proceedings of the 3rd Annual International Conference on Education and Development (ICED 2018)

Research and Application of Adaboost Based Prediction of Student’s Academic Achievement

Authors
Shuang Zhang, Ming-Wen Gao, Qing-He Hu
Corresponding Author
Shuang Zhang
Available Online November 2018.
DOI
https://doi.org/10.2991/iced-18.2018.35How to use a DOI?
Keywords
Teaching quality, Learning effect, Prediction of academic achievement, AdaBoost
Abstract

Student’s academic achievement is a major indicator of teacher’s teaching quality and student’s learning effect. But exam result is not enough to evaluate and predict student’s academic achievement. The factors of prediction should be scientifically selected from the whole teaching process. Based on analyzing the shortcomings of current research, the author proposes an AdaBoost based, multiple-indicator prediction model of student’s academic achievement. Experiment results show that the prediction model has good predictive performance.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 3rd Annual International Conference on Education and Development (ICED 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2018
ISBN
978-94-6252-608-2
ISSN
2352-5398
DOI
https://doi.org/10.2991/iced-18.2018.35How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shuang Zhang
AU  - Ming-Wen Gao
AU  - Qing-He Hu
PY  - 2018/11
DA  - 2018/11
TI  - Research and Application of Adaboost Based Prediction of Student’s Academic Achievement
BT  - Proceedings of the 3rd Annual International Conference on Education and Development (ICED 2018)
PB  - Atlantis Press
SP  - 218
EP  - 223
SN  - 2352-5398
UR  - https://doi.org/10.2991/iced-18.2018.35
DO  - https://doi.org/10.2991/iced-18.2018.35
ID  - Zhang2018/11
ER  -