Determining the Effect of University Students' Technology Usage Levels on Digital Reading Self-Efficacy

Author:

ARSLAN Aysel1ORCID

Affiliation:

1. SİVAS CUMHURİYET ÜNİVERSİTESİ

Abstract

It was aimed to determine the effect of technology use levels of university students studying in the field of health on their digital reading self-efficacy and to examine them according to different variables, in this study. The screening model was determined for the research model and the data were obtained by convenience sampling method. The sample group consists of 461 (372 female-89 male) students studying in the field of health at Sivas Cumhuriyet University. The research data were obtained by applying the "Reliability of the Technology Usage Scale" developed by Zincirkıran and Tiftik (2014) and the "Digital Reading Self-Efficacy Scale" developed by Akkaya and Çıvgın (2020). Descriptive statistics, independent groups t-test, ANOVA, Tukey, CFA, and SEM techniques were used in the analysis of the data obtained. It was determined that students' technology use levels differed significantly in terms of internet usage time, digital reading self-efficacy in terms of grade level, branch, and internet use time variables, according to the research findings. In addition, it was determined that students' technology use levels had a positive effect on their digital reading self-efficacy levels and predicted all their factors.

Publisher

Bartin Universitesi

Reference32 articles.

1. Akkaya, N., & Çıvğın, H. (2020). Dijital okuma öz yeterlilik ölçeği: Geçerlik ve güvenirlik çalışması. Güneş, F. ve Işık, AD (Ed.), Girişimcilik ve Yenilikçilik içinde (ss. 20-29). Ankara: Sınırsız Eğitim ve Araştırma Derneği Yayınları.

2. Aksoy, C. (2018). Teknoloji Kullanım Ölçeğinin Geçerlilik ve Güvenilirliğinin Ölçülmesi: Üniversite Öğrencilerine Yönelik Bir Araştırma. OPUS Uluslararası Toplum Araştırmaları Dergisi, 8(15), 1111-1131. doi: https://doi.org/10.26466/opus.419032

3. Allwright, R. L. (1981). What do we want teaching materials for? ELT journal, 36(1), 5-18. doi: https://doi.org/10.1093/elt/36.1.5

4. Bagozzi, R. P., & Fornell, C. (1982). Theoretical concepts, measurement, and meaning. Vol. 2, C. Fornell (Ed.) In a second generation of multivariate analysis, (pp. 5-23). Chicago: American Marketing Association.

5. Bloom, B. S. (1979). İnsan nitelikleri ve okulda öğrenme (Çev. Durmuş Ali Özçelik). Ankara: Milli Eğitim Bakanlığı Yayını.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3