You are here

Home » Content

NİĞDE ÜNİVERSİTESİ SOSYAL BİLİMLER MESLEK YÜKSEKOKULU ÖĞRENCİLERİNİN SAYISAL DERSLERDEKİ AKADEMİK DURUMUNUN MARKOV MODELİ İLE TAHMİN EDİLMESİ

ACADEMIC PROGRESS OF STUDENTS IN QUANTITATIVE COURSES AT NIGDE UNIVERSITY VOCATIONAL SCHOOL OF SOCIAL SCIENCES: A PREDICTION USING MARKOV MODEL

Journal Name:

  • Niğde Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi

Publication Year:

  • 2016

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
This study analyzes and predicts the academic progress of vocational school of social sciences students in quantitative courses in order to improve student progress in education. A population of 232 students taking commercial mathematics and statistics courses in 2014/2015 academic year is selected. The academic progress of students are estimated by using final examination scores extracted from OGRIS student otomation system of Nigde University. Academic progress is classified with respect to the mean test score as “greater”, “stable” and “lower”. Chi-square test is used for statistical analysis and predictions are estimated by one step stochastic Markov chain model. Direction of academic progress is predicted by the product of the initial probability matrix and transition probability matrix. In 2028-2029 academic year, the probabilities of improvement, no change and decline become stable approximately at 28%, 20% and 52%, respectively. The results are discussed and interpreted.
Bookmark/Search this post with
Abstract (Original Language): 
Bu çalışma eğitimde akademik durumu geliştirmek için sosyal bilimler meslek yüksekokulu öğrencilerinin sayısal derslerdeki akademik statüsünü analiz eder ve Markov modeli ile tahmin eder. 2014/2015 öğretim yılında ticari matematik ve istatistik derslerini alan 232 öğrencinin hepsi seçilmiştir. Niğde Üniversitesi OGRIS otomasyon sisteminden elde edilen final sınavı notları kullanılarak öğrencilerin akademik statüsü tahmin edilmiştir. Akademik statü daha yüksek, durağan ve daha düşük olarak sınav ortalamalarına göre sınıflandırılmıştır. İstatistik analizi için ki kare testi ve tahminleme için de Markov zinciri modeli kullanılmıştır. Akademik statünün yönü başlangıç olasılık matrisinin geçiş matrisi ile çarpımı sonucunda tahmin edilmiştir. 2028-2029 akademik yılında gelişme, durağan ve düşüş olasılıkları yaklaşık olarak sırasyla 28%, 20% and 52% tahmin edilmiştir. Sonuçlar tartışılmış ve yorumlanmıştır.
FULL TEXT (PDF): 
PDF icon arastirmax-nigde-universitesi-sosyal-bilimler-meslek-yuksekokulu-ogrencilerinin-sayisal-derslerdeki-akademik-durumunun-markov-modeli-ile-tahmin-edilmesi.pdf
  • 3
267
276
  • Turkish

JEL Codes:

REFERENCES

References: 

X., & Kishor, N. (1997). Assessing the relationship between attitude toward mathematics and achievement in mathematics: A meta-analysis. Journal of Research in Mathematics Education, 28(1): 26-47.
Taha H. A. (2000). Yöneylem Araştırması, 6.Baskıdan Çeviri, İstanbul: Literatür Yayıncılık.
Anthony G. (2000). Factors influencing first-year students' success in mathematics, International Journal of Mathematical Education in Science & Technology, 31(1):3-14.
Abu-Hilal, M. M. (2000). A structural model of attitudes toward school subjects, academic aspirations, and achievement. Educational Psychology, 20(1):75-84.
Wainwright, P. (2006), Project Proposal: An Enrollment Retention Study Using A Markov Model For A Regional State University Campus In Transition, Indiana University
Birch, E. & Miller, P. (2007). The Influence Of Type Of High School Attended On University Performance, Australian Economic Papers, 46(1):1-17
Alawadhi, S. & Konsowa, M. (2010). Markov Chain Analysis and Student Academic Progress: An Empirical Comparative Study, Journal of Modern Applied Statistical Methods, 9(2):584-595.
Ilgan A. (2013). Predicting College Student Achievement in Science Courses, Journal of Baltic Science Education, 12(3): 322-336
Öztürk A. (2013). Yöneylem Araştırması, 12.Baskı, Bursa: Ekin Kitabevi Yayınları.
Bluman A.G. (2014). Elemantary Statistics, 9th Ed.,New York: McGraw Hill Education.
Farg, M. H. M. & Khalil, F. M. H. (2014). Statistical Analysis of Academic Level of Student in Quantitative Methods Courses by Using Chi-Square Test and Markov Chains - Case Study of Faculty of Sciences and Humanities (Thadiq), Nat Sci,12(12):182-186.
Adeleke R.A., Oguntuase K.A., & Ogunsakin R.E. (2014). Application Of Markov Chain To The Assessment Of Students’ Admission And Academic Performance In Ekiti State University, International Journal Of Scientific & Technology Research 3(7):349-357
galton.uchicago.edu/~lalley/Courses/312/MarkovChains.pdf, date retrieved: 11.12.2015
dept.stat.lsa.umich.edu/~ionides/620/notes/markov_chains.pdf, date retrieved: 11.12.2015
http://nigde.edu.tr/oidb/sayfa/yonergeler 27.02.2016
http://www.nigde.edu.tr/oidb/sayfa/ogrenci-sayilari 28.02.2016

Thank you for copying data from http://www.arastirmax.com