Using a Machine Learning Algorithm to Analyze the Effectiveness of Pre-service Teachers’ Training Throughout the Covid-19 Pandemic-Reference-Cited by-同舟云学术

Using a Machine Learning Algorithm to Analyze the Effectiveness of Pre-service Teachers’ Training Throughout the Covid-19 Pandemic

Published:2024-01-24 Issue: Volume: Page:
ISSN:
Container-title:
language:
Short-container-title:

Author:

YİĞİT Murat¹,KARAL Ömer²,ERSOY Esen³

Affiliation:

1. Kırıkkale University

2. Ankara Yıldırım Beyazıt University

3. Ondokuz Mayıs University

Abstract

Abstract The research was carried out in a state university located in the Turkey. For the purposes of the research, data were collected using a semi-structured interview form consisting of 18 questions, 16 of which were input data to the OCSVM algorithm, and two which were designed for content analysis. The current findings were finalized by analyzing the data obtained from the pre-service teachers who had received Writing Education (WE) course in both formal education and through distance education with the OCSVM algorithm, and, second in accordance with the content analysis. The results of the ML-based OCSVM analysis, with an accuracy value of 98.11%, highlighted the preference that the WE course be provided only in the formal education environment.

Publisher

Research Square Platform LLC

Reference33 articles.

1. Aydoğan, M., & Karcı, A. (2018, October). Meslek yüksekokulu öğrencilerinin başarı performanslarının makine öğrenmesi yöntemleri ile analizi. International Symposium on Multidisciplinary Studies and Innovative Technologies. Turkey.

2. Büyüköztürk, Ş. (2006). Sosyal bilimler için veri analizi el kitabı. PegemA Yayınları.

3. CDC (Centers of Diseases Control and Prevention) (2017). SARS Basics fact sheet https://www.cdc.gov/sars/about/fs-sars.html (Erişim Tarihi 18.05.2020).

4. Öznitelik seçme ve makine öğrenmesi yöntemleriyle eğitmen performansının tahmin edilmesi;Çifçi F;Anadolu Üniversitesi Eğitim Bilimleri Enstitüsü Dergisi,2018

5. The impact of regular school closure on seasonal influenza epidemics: a data-driven spatial transmission model for Belgium;Luca G;BMC Infectious Diseases,2018