Dropout and Graduation in Higher Education: CHAID Analysis

Nesrin Hark Söylemez

Makale detayları

Dropout and Graduation in Higher Education: CHAID Analysis

Yazarlar:

Nesrin Hark Söylemez

Yayıncı:

Çanakkale Onsekiz Mart University

Ana Başlıklar:

Eğitim Üzerine Çalışmalar

Dergi:

Eğitimde Kuram ve Uygulama Vol.20 Issue 1, pp.107-121

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322194

pISSN:

1304-9496

Anahtar kelimeler:

Özet:

 This study aims to investigate the socioeconomic variables and their order of importance that have a significant effect on the dropout and graduation of higher education students. Relational survey model was used in the study. In the study, the Students Dropout and Academic Success Dataset, was utilized. The dataset, created by the Polytechnic Institute of Portalegre, consists of 4424 records. CHAID decision tree algorithm was used to analyze the data. With this method, the independent variables that demonstrate the maximum variation in the dependent variable have been identified hierarchically. It is found that, 49.93 of the students are graduate, 32.12 are dropout, and 17.948 are enrolled. Obtained findings show that the graduation rates of the students are not at the desired level. Tuition fees up to date was found as the best variable that explains the students school completion. 86.55 of students with not up to date tuition fees were found as dropout and 55.95 of students with up-to-date tuition fees were found as graduate. Scholarship holder was found as the variable that best explains the clusters formed by variable tuition fees up to date. 89.00 of the students that dont have their tuition fees up to date and dont hold a scholarship dropout the school, while 78.44 of students that have their tuition fees up to date and holding a scholarship are graduate. Building on the results obtained from the study, several suggestions were proposed for coping with dropout problem and further guiding research on dropout.

 This study aims to investigate the socioeconomic variables and their order of importance that have a significant effect on the dropout and graduation of higher education students. Relational survey model was used in the study. In the study, the Students Dropout and Academic Success Dataset, was utilized. The dataset, created by the Polytechnic Institute of Portalegre, consists of 4424 records. CHAID decision tree algorithm was used to analyze the data. With this method, the independent variables that demonstrate the maximum variation in the dependent variable have been identified hierarchically. It is found that, 49.93 of the students are graduate, 32.12 are dropout, and 17.948 are enrolled. Obtained findings show that the graduation rates of the students are not at the desired level. Tuition fees up to date was found as the best variable that explains the students school completion. 86.55 of students with not up to date tuition fees were found as dropout and 55.95 of students with up-to-date tuition fees were found as graduate. Scholarship holder was found as the variable that best explains the clusters formed by variable tuition fees up to date. 89.00 of the students that dont have their tuition fees up to date and dont hold a scholarship dropout the school, while 78.44 of students that have their tuition fees up to date and holding a scholarship are graduate. Building on the results obtained from the study, several suggestions were proposed for coping with dropout problem and further guiding research on dropout.

 This study aims to investigate the socioeconomic variables and their order of importance that have a significant effect on the dropout and graduation of higher education students. Relational survey model was used in the study. In the study, the Students Dropout and Academic Success Dataset, was utilized. The dataset, created by the Polytechnic Institute of Portalegre, consists of 4424 records. CHAID decision tree algorithm was used to analyze the data. With this method, the independent variables that demonstrate the maximum variation in the dependent variable have been identified hierarchically. It is found that, 49.93 of the students are graduate, 32.12 are dropout, and 17.948 are enrolled. Obtained findings show that the graduation rates of the students are not at the desired level. Tuition fees up to date was found as the best variable that explains the students school completion. 86.55 of students with not up to date tuition fees were found as dropout and 55.95 of students with up-to-date tuition fees were found as graduate. Scholarship holder was found as the variable that best explains the clusters formed by variable tuition fees up to date. 89.00 of the students that dont have their tuition fees up to date and dont hold a scholarship dropout the school, while 78.44 of students that have their tuition fees up to date and holding a scholarship are graduate. Building on the results obtained from the study, several suggestions were proposed for coping with dropout problem and further guiding research on dropout.

 Bu araştırmada, yükseköğretim öğrencilerinin okul terki ve mezuniyet durumları üzerinde anlamlı etkisi olan sosyoekonomik değişkenlerin tespit edilmesi ve önem sırasının belirlenmesi amaçlanmıştır. Araştırmada ilişkisel tarama modeli kullanılmıştır. Çalışmada Students Dropout and Academic Success Dataset veri seti kullanılmıştır. Polytechnic Institute of Portalegre tarafından oluşturulan veri seti, 4424 kayıt içermektedir. Verilerin analiz edilmesinde CHAID karar ağacı algoritması kullanılmıştır. Bu sayede bağımlı değişkende en fazla farklılaşmayı gösteren bağımsız değişkenler hiyerarşik olarak tespit edilmiştir. Araştırmada öğrencilerin 49.93ünün okulu tamamlama durumlarının mezun, 32.12sinin terk, 17.94ünün devam eden olduğu görülmektedir. Elde edilen bulgular öğrencilerin mezuniyet oranlarının istenilen düzeyde olmadığını göstermektedir. Öğrencilerin okul bitirme durumlarını en iyi açıklayan değişkenin üniversite harç borcu olduğu bulunmuştur. Harç borcu olan öğrencilerin 86.55i okulu terk etmiş, harç borcu olmayan öğrencilerin 55.95i mezun olmuştur. Üniversite harç borcu değişkeninin oluşturduğu kümeyi en iyi açıklayan değişken burs sahibi olarak bulunmuştur. Üniversite harç borcu olan ve burslu olmayan öğrencilerin 89.00u okulu terk ederken, harç borcu olmayan ve burslu öğrencilerin 78.44ü mezun olmuştur. Araştırmadan elde edilen sonuçlardan yola çıkılarak, okul terki sorunuyla başa çıkmak ve okul terkiyle ilgili daha fazla araştırmayı yönlendirmek için çeşitli önerilerde bulunulmuştur.

Makale detayları

Dropout and Graduation in Higher Education: CHAID Analysis

Yazarlar:

Nesrin Hark Söylemez

Yayıncı:

Çanakkale Onsekiz Mart University

Ana Başlıklar:

Eğitim Üzerine Çalışmalar

Dergi:

Eğitimde Kuram ve Uygulama Vol.20 Issue 1, pp.107-121

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322194

pISSN:

1304-9496

Higher education

dropout

graduation

decision trees

CHAID analysisYükseköğretim

okul terki

mezuniyet

karar ağaçları

CHAID analizi

Sayı

Makale detayları

Yazarlar: Nesrin Hark Söylemez

Yayıncı: Çanakkale Onsekiz Mart University

Ana Başlıklar: Eğitim Üzerine Çalışmalar

Dergi: Eğitimde Kuram ve Uygulama Vol.20 Issue 1, pp.107-121

Belge Tipi: Makale

Yayın Tarihi: 6/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001322194

pISSN: 1304-9496

Sayı

Yazarlar:

Nesrin Hark Söylemez

Yayıncı:

Çanakkale Onsekiz Mart University

Ana Başlıklar:

Eğitim Üzerine Çalışmalar

Dergi:

Eğitimde Kuram ve Uygulama Vol.20 Issue 1, pp.107-121

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001322194

pISSN:

1304-9496