Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique

Yousaf Ali Khan

doi:doi:10.11648/j.ijdsa.20200605.11

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Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique

Yousaf Ali Khan

Published in International Journal of Data Science and Analysis (Volume 6, Issue 5)

Received: 17 January 2020 Accepted: 10 September 2020 Published: 25 September 2020

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Abstract

Schools are considered as the backbone for long-term economic progress. No country can develop without increasing their education level. Despite the fact that the Portuguese population shows a brilliant development in their educational level from last decade, but still Portugal lies on the tail surrender of Europe in statistics because of excessive levels of student failure. Primarily, this costs a lot better in the middle of the elegance of Mathematics and Portuguese. On the other hand, the field of data mining (DM), the purpose of extracting the high-stage knowledge of raw statistics, automatic gear compelling offer to a useful source of training domain. This paper pursues to improve the overall performance of middle school students of Portugal through two variables decision tree, which is a favorable approach to data mining used for classification, prediction and factors explored with the help of their significance. Results shows that, provided the first and / or second interval school grades, awesome prediction accuracy can be achieved. Despite the success of students strongly influenced by father's job assistance; evaluation has clearly shown that there are also other elements (such as learning time, mother's occupation, the desire of higher education, the paid-classes and the travel time from home and school, etc.) are important elements which have great impact on the performance of students in secondary school education in Portugal. As a direct result of this study, through which specialize in these factors and create a kind of policy is mainly based on studies in the country width exceptional level of education may increase at the secondary level that produces goose bumps to the stage of higher education in Europe.

Published in	International Journal of Data Science and Analysis (Volume 6, Issue 5)
DOI	10.11648/j.ijdsa.20200605.11
Page(s)	120-129
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Data Mining in Education, Secondary School, Decision Tree, Performance, Classification, Europe’s

References

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[4]	Ma. Y., Liu. B., Wong C., Yu. P., and Lee S., (2000). Targeting the Right Students Using Data Mining. In Proc. of 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Boston, USA, 457–464.
[5]	Luan. J., (2002). Data Mining and Its Applications in Higher Education. New Directions for Institutional Research, 113, 17–36.
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[8]	Pardos. Z., Heffernan N., Anderson. B., and Heffernan. C., (2006). Using Fine-Grained Skill Models to Fit Student Performance with Bayesian Networks. In Proc. of 8^th Int. Conf. On Intelligent Tutoring Systems. Taiwan.
[9]	Cortez. P, and A. Silva. A., (2008) Using Data Mining to Predict Secondary School Student Performance. In A. Brito and J. Teixeira Eds., Proceedings of 5th Future Business Technology Conference (FUBUTEC 2008) pp. 5-12, Porto, Portugal, EUROSIS, ISBN 978-9077381-39-7.
[10]	Patel. B. N., Prajapati. S. G., and Lakh aria. K. I., (2012). Efficient Classification of Data Using Decision Tree. Bunfring International Journal of Data Mining, vol. 2, no. 1, pp. 6-12.
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[17]	Hastie. T., Tibshirani. R., and Friedman. J. H (2009). The Elements of Statistical Learning: Data Mining, Inference and Prediction Springer Verlag, New York.
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Yousaf Ali Khan. (2020). Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique. International Journal of Data Science and Analysis, 6(5), 120-129. https://doi.org/10.11648/j.ijdsa.20200605.11

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ACS Style

Yousaf Ali Khan. Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique. Int. J. Data Sci. Anal. 2020, 6(5), 120-129. doi: 10.11648/j.ijdsa.20200605.11

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AMA Style

Yousaf Ali Khan. Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique. Int J Data Sci Anal. 2020;6(5):120-129. doi: 10.11648/j.ijdsa.20200605.11

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@article{10.11648/j.ijdsa.20200605.11,
  author = {Yousaf Ali Khan},
  title = {Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique},
  journal = {International Journal of Data Science and Analysis},
  volume = {6},
  number = {5},
  pages = {120-129},
  doi = {10.11648/j.ijdsa.20200605.11},
  url = {https://doi.org/10.11648/j.ijdsa.20200605.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20200605.11},
  abstract = {Schools are considered as the backbone for long-term economic progress. No country can develop without increasing their education level. Despite the fact that the Portuguese population shows a brilliant development in their educational level from last decade, but still Portugal lies on the tail surrender of Europe in statistics because of excessive levels of student failure. Primarily, this costs a lot better in the middle of the elegance of Mathematics and Portuguese. On the other hand, the field of data mining (DM), the purpose of extracting the high-stage knowledge of raw statistics, automatic gear compelling offer to a useful source of training domain. This paper pursues to improve the overall performance of middle school students of Portugal through two variables decision tree, which is a favorable approach to data mining used for classification, prediction and factors explored with the help of their significance. Results shows that, provided the first and / or second interval school grades, awesome prediction accuracy can be achieved. Despite the success of students strongly influenced by father's job assistance; evaluation has clearly shown that there are also other elements (such as learning time, mother's occupation, the desire of higher education, the paid-classes and the travel time from home and school, etc.) are important elements which have great impact on the performance of students in secondary school education in Portugal. As a direct result of this study, through which specialize in these factors and create a kind of policy is mainly based on studies in the country width exceptional level of education may increase at the secondary level that produces goose bumps to the stage of higher education in Europe.},
 year = {2020}
}

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TY  - JOUR
T1  - Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique
AU  - Yousaf Ali Khan
Y1  - 2020/09/25
PY  - 2020
N1  - https://doi.org/10.11648/j.ijdsa.20200605.11
DO  - 10.11648/j.ijdsa.20200605.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 120
EP  - 129
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20200605.11
AB  - Schools are considered as the backbone for long-term economic progress. No country can develop without increasing their education level. Despite the fact that the Portuguese population shows a brilliant development in their educational level from last decade, but still Portugal lies on the tail surrender of Europe in statistics because of excessive levels of student failure. Primarily, this costs a lot better in the middle of the elegance of Mathematics and Portuguese. On the other hand, the field of data mining (DM), the purpose of extracting the high-stage knowledge of raw statistics, automatic gear compelling offer to a useful source of training domain. This paper pursues to improve the overall performance of middle school students of Portugal through two variables decision tree, which is a favorable approach to data mining used for classification, prediction and factors explored with the help of their significance. Results shows that, provided the first and / or second interval school grades, awesome prediction accuracy can be achieved. Despite the success of students strongly influenced by father's job assistance; evaluation has clearly shown that there are also other elements (such as learning time, mother's occupation, the desire of higher education, the paid-classes and the travel time from home and school, etc.) are important elements which have great impact on the performance of students in secondary school education in Portugal. As a direct result of this study, through which specialize in these factors and create a kind of policy is mainly based on studies in the country width exceptional level of education may increase at the secondary level that produces goose bumps to the stage of higher education in Europe.
VL  - 6
IS  - 5
ER  -

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Author Information

Yousaf Ali Khan

School of Statistics, Jiangxi University of Finance and Economics, Nanchang, China; Department of Mathematics and Statistics, Hazara University Mansehra, Mansehra, Pakistan

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APA Style

Yousaf Ali Khan. (2020). Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique. International Journal of Data Science and Analysis, 6(5), 120-129. https://doi.org/10.11648/j.ijdsa.20200605.11

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ACS Style

Yousaf Ali Khan. Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique. Int. J. Data Sci. Anal. 2020, 6(5), 120-129. doi: 10.11648/j.ijdsa.20200605.11

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AMA Style

Yousaf Ali Khan. Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique. Int J Data Sci Anal. 2020;6(5):120-129. doi: 10.11648/j.ijdsa.20200605.11

Copy | Download

@article{10.11648/j.ijdsa.20200605.11,
  author = {Yousaf Ali Khan},
  title = {Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique},
  journal = {International Journal of Data Science and Analysis},
  volume = {6},
  number = {5},
  pages = {120-129},
  doi = {10.11648/j.ijdsa.20200605.11},
  url = {https://doi.org/10.11648/j.ijdsa.20200605.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20200605.11},
  abstract = {Schools are considered as the backbone for long-term economic progress. No country can develop without increasing their education level. Despite the fact that the Portuguese population shows a brilliant development in their educational level from last decade, but still Portugal lies on the tail surrender of Europe in statistics because of excessive levels of student failure. Primarily, this costs a lot better in the middle of the elegance of Mathematics and Portuguese. On the other hand, the field of data mining (DM), the purpose of extracting the high-stage knowledge of raw statistics, automatic gear compelling offer to a useful source of training domain. This paper pursues to improve the overall performance of middle school students of Portugal through two variables decision tree, which is a favorable approach to data mining used for classification, prediction and factors explored with the help of their significance. Results shows that, provided the first and / or second interval school grades, awesome prediction accuracy can be achieved. Despite the success of students strongly influenced by father's job assistance; evaluation has clearly shown that there are also other elements (such as learning time, mother's occupation, the desire of higher education, the paid-classes and the travel time from home and school, etc.) are important elements which have great impact on the performance of students in secondary school education in Portugal. As a direct result of this study, through which specialize in these factors and create a kind of policy is mainly based on studies in the country width exceptional level of education may increase at the secondary level that produces goose bumps to the stage of higher education in Europe.},
 year = {2020}
}

Copy | Download

TY  - JOUR
T1  - Factors Influencing Secondary School Student’s Performance Through Variable Decision Tree Data Mining Technique
AU  - Yousaf Ali Khan
Y1  - 2020/09/25
PY  - 2020
N1  - https://doi.org/10.11648/j.ijdsa.20200605.11
DO  - 10.11648/j.ijdsa.20200605.11
T2  - International Journal of Data Science and Analysis
JF  - International Journal of Data Science and Analysis
JO  - International Journal of Data Science and Analysis
SP  - 120
EP  - 129
PB  - Science Publishing Group
SN  - 2575-1891
UR  - https://doi.org/10.11648/j.ijdsa.20200605.11
AB  - Schools are considered as the backbone for long-term economic progress. No country can develop without increasing their education level. Despite the fact that the Portuguese population shows a brilliant development in their educational level from last decade, but still Portugal lies on the tail surrender of Europe in statistics because of excessive levels of student failure. Primarily, this costs a lot better in the middle of the elegance of Mathematics and Portuguese. On the other hand, the field of data mining (DM), the purpose of extracting the high-stage knowledge of raw statistics, automatic gear compelling offer to a useful source of training domain. This paper pursues to improve the overall performance of middle school students of Portugal through two variables decision tree, which is a favorable approach to data mining used for classification, prediction and factors explored with the help of their significance. Results shows that, provided the first and / or second interval school grades, awesome prediction accuracy can be achieved. Despite the success of students strongly influenced by father's job assistance; evaluation has clearly shown that there are also other elements (such as learning time, mother's occupation, the desire of higher education, the paid-classes and the travel time from home and school, etc.) are important elements which have great impact on the performance of students in secondary school education in Portugal. As a direct result of this study, through which specialize in these factors and create a kind of policy is mainly based on studies in the country width exceptional level of education may increase at the secondary level that produces goose bumps to the stage of higher education in Europe.
VL  - 6
IS  - 5
ER  -

Copy | Download