Proceedings of the 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020)

Overcoming Overdispersion on Direct Mathematics Learning Model Using the Quasi Poisson Regression

Authors
Powell Gian Hartono, Georgina Maria Tinungki, Jakaria Jakaria, Agus Budi Hartono, Patrick Gunawan Hartono, Richy Wijaya
Corresponding Author
Powell Gian Hartono
Available Online 11 May 2021.
DOI
10.2991/assehr.k.210508.102How to use a DOI?
Keywords
Overdispersion, quasi-Poisson regression, Direct Math learning, Calculus subject
Abstract

The study aims to overcome the overdispersion in the final exam score of Calculus subject. The occurrence of a gap in the score is inseparable from the influence of internal factors and external factors. The internal factors are factors that originate within students themselves. In contrast, external factors are factors that exist outside of students that can affect students’ success or failure, such as learning environment, the physical environment where the exam takes place, infrastructure and facility that are owned and used by students, and their condition during the exam. The connection of these factors to the gap in final exam scores can be approached with Poisson regression analysis because Poisson Regression assumes a Poisson distribution of response variables with equidispersion. It is necessary to conduct a research to find out the factors that cause the diversity of the final score in order to overcome, that is by implementing direct learning. The results obtained show that with the application of direct mathematics learning, there is no overdispersion, while the low score of the final exam results in an increase, resulting in the variance of final exam results to be smaller than the average score.

Copyright
© 2021, 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 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
11 May 2021
ISBN
978-94-6239-378-3
ISSN
2352-5398
DOI
10.2991/assehr.k.210508.102How to use a DOI?
Copyright
© 2021, 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  - Powell Gian Hartono
AU  - Georgina Maria Tinungki
AU  - Jakaria Jakaria
AU  - Agus Budi Hartono
AU  - Patrick Gunawan Hartono
AU  - Richy Wijaya
PY  - 2021
DA  - 2021/05/11
TI  - Overcoming Overdispersion on Direct Mathematics Learning Model Using the Quasi Poisson Regression
BT  - Proceedings of the 1st International Conference on Mathematics and Mathematics Education (ICMMEd 2020)
PB  - Atlantis Press
SP  - 442
EP  - 449
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210508.102
DO  - 10.2991/assehr.k.210508.102
ID  - Hartono2021
ER  -