Improving an Early Warning System to Prediction of Student Examination Achievement

Goker H., BÜLBÜL H. İ.

13th International Conference on Machine Learning and Applications (ICMLA), Michigan, Amerika Birleşik Devletleri, 3 - 06 Aralık 2014, ss.568-573 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/icmla.2014.114
  • Basıldığı Şehir: Michigan
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.568-573
  • Anahtar Kelimeler: data mining, data warehouse, naive bayes, classification, estimation of students' successes, educational data mining(EDM)
  • Gazi Üniversitesi Adresli: Evet

Özet

In Turkey, there are many exams for transition to a higher education institution. These exams are all stages of life and have a great importance in the lives of students. As the severity rating of the exam, particularly students, parents and teachers are affected and exams create anxiety for students. Examination results are very important in shaping the lives of future students. Therefore, in this study is aimed to estimate the success of students, which isstudents' turning point in their lives, in the university entrance exam.