Research article | Open Access
International Journal of the Pursuit of Excellence in Leadership 2025, Vol. 5(2) 41-51
Spor Karakterinin Aşırı Öğrenme Makinesi ile Belirlenmesi
pp. 41 - 51
Publish Date: December 31, 2025 | Single/Total View: 0/0 | Single/Total Download: 0/0
Abstract
The purpose of this study is to apply one of the artificial intelligence methods, the Extreme Learning Machine (ELM), to the collected dataset for the determination of sport character. In this research, an artificial neural network model trained with ELM has been developed to identify sport characters. Performance analyses have been conducted in terms of classification accuracy following the training and testing of the model. The population of the study consisted of physical education teachers employed in institutions. The sample has been determined through simple random sampling and comprised a total of 262 teachers, including 184 males and 78 females. The dataset has been collected using a Personal Information Form and the Sport Character Scale (SCS), and subsequently processed through ELM. The ELM has been applied to train an artificial neural network with 500 repeated training and testing experiments with varying numbers of hidden layer neurons. The highest training accuracy has been achieved at 96.89% when the number of hidden layer neurons has been set to 120, while the highest testing accuracy has been obtained at 65.98% when the number of neurons has been set to 100. The experimental results show that promising and acceptable outcomes have been achieved when the number of hidden layer neurons in the ELM-trained artificial neural network has been adjusted between 100 and 120.
Keywords: Sport character, extreme learning machine, physical education
Öz
Bu araştırmanın amacı spor karakterinin belirlenmesi için yapay zekâ yöntemlerinden biri olan aşırı öğrenme makinesinin toplanan verilere uygulanmasıdır. Bu çalışmada spor karakteri belirlenmesi için aşırı öğrenme makinesi (ELM) ile eğitilen yapay sinir ağı modeli geliştirilmiştir. Modelin eğitim ve testi sonucunda performans analizleri sınıflandırma doğruluğu açısından yapılmıştır. Araştırmanın evrenini, kurumlarda görev yapan beden eğitimi öğretmenleri oluşturmaktadır. Örneklem, basit seçkisiz örnekleme yöntemi ile belirlenmiş olup; 184’ü erkek, 78’i kadın olmak üzere toplam 262 öğretmenden meydana gelmiştir. Bu araştırmada veri seti, Kişisel Bilgi Formu, Spor Karakter Ölçeği (SKÖ) aracılığıyla toplanmış ve aşırı öğrenme makinesi (ELM) ile eğitildikten sonra belirlenmiştir. ELM, oluşturulan veri setinde farklı gizli katman nöron sayıları ile 500 tekrarlı eğitim ve test sürecine tabi tutulmuş ve en yüksek eğitim başarısı gizli katman nöron sayısı 120 olarak ayarlandığında %96.89 ve test başarısı 100 nöron olarak ayarlandığında %65.98 olarak elde edilmiştir. Deneysel çalışma kullanılan veri seti üzerinde ELM ile eğitilen yapay sinir ağında gizli katman nöron sayısının 100-120 olarak ayarlandığında kabul edilebilir sonuçlar elde edildiğini göstermektedir.
Keywords: Anahtar Kelimeler: Spor karakteri, aşırı öğrenme makinesi, beden eğitimi.
APA 7th edition
Duzgunce, A. (2025). Spor Karakterinin Aşırı Öğrenme Makinesi ile Belirlenmesi. International Journal of the Pursuit of Excellence in Leadership, 5(2), 41-51.
Harvard
Duzgunce, A. (2025). Spor Karakterinin Aşırı Öğrenme Makinesi ile Belirlenmesi. International Journal of the Pursuit of Excellence in Leadership, 5(2), pp. 41-51.
Chicago 16th edition
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