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Title |
Towards a Deep Analysis of High School Students’ Outcomes |
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Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
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Keywords |
Educational data mining, classification |
|
URL |
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|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 87-92 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
|
|
Title |
Towards a Deep Analysis of High School Students’ Outcomes |
|
Author |
, Adina Barila, Mirela Danubianu, and Andrei Marcel Paraschiv |
| Citation |
Vol. 21 No. 6 pp. 71-76 |
|
Abstract |
Education is one of the pillars of sustainable development. For this reason, the discovery of useful information in its process of adaptation to new challenges is treated with care. This paper aims to present the initiation of a process of exploring the data collected from the results obtained by Romanian students at the BBaccalaureate (the Romanian high school graduation) exam, through data mining methods, in order to try an in-depth analysis to find and remedy some of the causes that lead to unsatisfactory results. Specifically, a set of public data was collected from the website of the Ministry of Education, on which several classification methods were tested in order to find the most efficient modeling algorithm. It is the first time that this type of data is subjected to such interests. |
|
Keywords |
Educational data mining, classification |
|
URL |
