The Role of Artificial Intelligence in Building the Research Competence of Future Doctors of Philosophy

Author:

Oliinyk Iryna1ORCID,Bulavina Olena2ORCID,Romanenko Tetiana3ORCID,Tatarnikova Anzhelika4ORCID,Smirnov Anton5ORCID

Affiliation:

1. Alfred Nobel University, Dnipro, Ukraine.

2. State higher educational institution “Kyiv National Economic University named after Vadym Hetman”, Kyiv, Ukraine.

3. Bohdan Khmelnytsky National University of Cherkasy, Cherkasy, Ukraine.

4. International Humanitarian University, Odessa, Ukraine.

5. Kharkiv Institute of Medicine and Biomedical Sciences, Kharkiv, Ukraine.

Abstract

The aim of the article is to arrange and analyse the possibilities of using artificial intelligence (AI) in the development of research competence of future doctors of philosophy (PhDs). The research employed the method of a pedagogical controlled experiment, the method of expert evaluations, and questionnaire survey. The obtained data were analysed through the Student’s t-test and the correlation analysis. Validity and reliability were determined using Cronbach’s alpha. The conducted questionnaire survey gave grounds to study the level of the research competence of future PhDs at the beginning and at the end of the experiment. The study included control and experimental groups, as well as expert evaluation. At the initial stage of the study, certain differences were found between the control group (CG) and experimental group (EG) in terms of research competence. Later, the experimental group showed significant growth in all components of competence, which emphasizes the positive impact of using artificial intelligence in the educational process. The results of the correlation analysis confirm the relationship between the components of research competence in both groups. The results of the study confirm the positive impact of the use of artificial intelligence on the level of research competence of future PhDs.

Publisher

Universidad del Zulia

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