AI in Academic Writing of PhD Medical Students

The integration of artificial intelligence (AI) in higher education has significantly impacted teaching and learning methodologies, particularly in medical education for doctoral students. This paper explores the role of AI in enhancing academic writing and language skills, with a specific focus on Czech universities. The theoretical section of the study provides an analysis of Czech universities' approaches to adopting AI technologies in higher education, assessing both the advantages and disadvantages of AI implementation in academic settings. The practical part of the research consists of both quantitative and qualitative analyses. The quantitative component focuses on gathering data on students' academic backgrounds and experience with digital tools, while the qualitative section explores students' attitudes toward AI usage, particularly in relation to reliability, trust, and ethics. The paper aims to provide a comprehensive understanding of the role AI plays in language instruction and academic writing for PhD medical students, while also addressing the broader implications of AI adoption in higher education.

Authors

Institutions

Publication Details

Journal
CASALC Review
Published
2025-04-01
DOI
https://doi.org/10.5817/casalc2024-2-1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI in Academic Writing of PhD Medical Students

Veronika Glogarová
CASALC Review
Artificial Intelligence in Healthcare and Education
article

AI in Academic Writing of PhD Medical Students

Veronika Glogarová
article en

Abstract

The integration of artificial intelligence (AI) in higher education has significantly impacted teaching and learning methodologies, particularly in medical education for doctoral students. This paper explores the role of AI in enhancing academic writing and language skills, with a specific focus on Czech universities. The theoretical section of the study provides an analysis of Czech universities' approaches to adopting AI technologies in higher education, assessing both the advantages and disadvantages of AI implementation in academic settings. The practical part of the research consists of both quantitative and qualitative analyses. The quantitative component focuses on gathering data on students' academic backgrounds and experience with digital tools, while the qualitative section explores students' attitudes toward AI usage, particularly in relation to reliability, trust, and ethics. The paper aims to provide a comprehensive understanding of the role AI plays in language instruction and academic writing for PhD medical students, while also addressing the broader implications of AI adoption in higher education.

CASALC ReviewVol. 14(2)
Palacký University Olomouc (CZ)
Openalex Percentile: Top 96%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.