A MACHINE LEARNING APPROACH TO PREDICT ACADEMIC SUCCESS IN HIGHER EDUCATION USING THE BIG FIVE PERSONALITY TRAITS / (Kayıt no. 285301)
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| 000 -BAŞLIK | |
|---|---|
| Sabit Uzunluktaki Kontrol Alanı | 02328nam a22003017a 4500 |
| 003 - KONTROL NUMARASI KİMLİĞİ | |
| Kontrol Alanı | KOHA |
| 005 - EN SON İŞLEM TARİHİ ve ZAMANI | |
| Kontrol Alanı | 20221226090245.0 |
| 008 - SABİT UZUNLUKTAKİ VERİ ÖGELERİ - GENEL BİLGİ | |
| Sabit Alan | 220928d2022 cy ||||| m||| 00| 0 eng d |
| 040 ## - KATALOGLAMA KAYNAĞI | |
| Özgün Kataloglama Kurumu | CY-NiCIU |
| Kataloglama Dili | eng |
| Çeviri Kurumu | CY-NiCIU |
| Açıklama Kuralları | rda |
| 041 ## - DİL KODU | |
| Metin ya da ses kaydının dil kodu | eng |
| 090 ## - Yerel Tasnif No | |
| tasnif no | D 321 |
| Cutter no | C24 2022 |
| 100 1# - KİŞİ ADI | |
| Yazar Adı (Kişi adı) | Çağataylı, Mustafa |
| 245 12 - ESER ADI BİLDİRİMİ | |
| Başlık | A MACHINE LEARNING APPROACH TO PREDICT ACADEMIC SUCCESS IN HIGHER EDUCATION USING THE BIG FIVE PERSONALITY TRAITS / |
| Sorumluluk Bildirimi | Mustafa ÇAĞATAYLI; Supervisor: Assoc. Prof. Dr. Erbug Çelebi |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022 |
| 300 ## - FİZİKSEL TANIMLAMA | |
| Sayfa, Cilt vb. | 121 sheets; |
| Boyutları | 31 cm. |
| 336 ## - CONTENT TYPE | |
| Source | rdacontent |
| Content type term | text |
| Content type code | txt |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| Media type term | unmediated |
| Media type code | n |
| 338 ## - CARRIER TYPE | |
| Source | rdacarrier |
| Carrier type term | volume |
| Carrier type code | nc |
| 502 ## - TEZ NOTU | |
| Tez Notu | Thesis (PhD) - Cyprus International University. Institute of Graduate Studies and Research Management Information Systems Department |
| 504 ## - BİBLİYOGRAFİ NOTU | |
| Bibliyografi Notu | Includes bibliography (sheets 91-111) |
| 520 ## - ÖZET NOTU | |
| Özet notu | ABSTRACT Using students' previous course grades is the most common method of forecasting academic performance in higher education. A novel strategy is proposed in this study to predict academic success in higher education using personality traits instead of existing course grades. The primary focus of this multidisciplinary project is to use Machine Learning to combine the benefits of psychology and computer science to predict the academic success of students in higher education institutions. The proposed technique was tested on 20 distinct course categories using Big Five features as personality traits of 2,575 higher education students. We find that Machine Learning may be used to predict academic success while taking into account all five Big Five personality trait dimensions. The Big Five traits of prospective students can be used to predict higher education student achievement for the applied department using our proposed method. Our strategy can be used in a variety of departments or course groups. This approach could be enhanced such that higher education institutions can even recommend departments to students to help them succeed. |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
| Konusal terim veya coğrafi ad | Personality |
| Alt başlık biçimi | Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
| Konusal terim veya coğrafi ad | Education, Higher |
| Alt başlık biçimi | Dissertations, Academic |
| 650 #0 - KONU BAŞLIĞI EK GİRİŞ - KONU TERİMİ | |
| Konusal terim veya coğrafi ad | Machine learning |
| Alt başlık biçimi | Dissertations, Academic |
| 700 1# - EK GİRİŞ - KİŞİ ADI | |
| Yazar Adı (Kişi adı) | Çelebi, Erbuğ |
| İlişkili Terim | supervisor |
| 942 ## - EK GİRİŞ ÖGELERİ (KOHA) | |
| Sınıflama Kaynağı | Dewey Onlu Sınıflama Sistemi |
| Materyal Türü | Thesis |
| Geri Çekilme Durumu | Kayıp Durumu | Sınıflandırma Kaynağı | Kredi için değil | Koleksiyon Kodu | Kalıcı Konum | Mevcut Konum | Raf Yeri | Kayıt Tarih | Source of acquisition | Yer Numarası | Demirbaş Numarası | Son Görülme Tarihi | Fatura Tarihi | Materyal Türü | Genel / Bağış Notu |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Onlu Sınıflama Sistemi | Tez Koleksiyonu | CIU LIBRARY | CIU LIBRARY | Tez Koleksiyonu | 28.09.2022 | Bağış | D 321 C24 2022 | T2757 | 28.09.2022 | 28.09.2022 | Thesis | Management Information Systems Department | |||
| Dewey Onlu Sınıflama Sistemi | CIU LIBRARY | CIU LIBRARY | Görsel İşitsel | 28.09.2022 | Bağış | D 321 C24 2022 | CDT2757 | 28.09.2022 | 28.09.2022 | Suppl. CD | Management Information Systems Department |