Perspectives on Artificial Intelligence in Precision and Genomic Medicine Among Biology Students in Taiwan and Germany

Artificial intelligence (AI) in biomedicine has gained significant attention, and its fusion with biology offers exciting possibilities. Understanding students' perspectives on AI is crucial for developing appropriate lessons. This study surveyed biology undergraduates and postgraduates in Taiwan (n = 71) and Germany (n = 51) to explore their perspectives on AI in precision medicine and life sciences and its integration into their education. Exploratory Factor Analysis identified dimensions such as perception of benefits, risks, ethics, acceptance, and willingness to learn AI. The findings revealed that about 70% of students were aware of AI discussions in the field, but 35% admitted lacking basic knowledge of the technologies. Notably, there was a positive correlation between perceiving benefits and the willingness to learn AI in both countries. Interestingly, Taiwanese students expressed more concerns about AI risks than German students but showed greater acceptance and willingness to learn AI. Additionally, a negative correlation between risk perception and willingness to learn AI was found among German students but not among Taiwanese students. This difference may relate to variations in AI education between the countries. Given the high willingness to incorporate AI into biology curricula, the field of biology should lead in educating students about these technologies.

Authors

Institutions

Publication Details

Journal
Biochemistry and Molecular Biology Education
Published
2025-05-08
DOI
https://doi.org/10.1002/bmb.21905
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perspectives on Artificial Intelligence in Precision and Genomic Medicine Among Biology Students in Taiwan and Germany

Matthias Winfried Kleespies, Yi‐Ning Kelly Huang, Liu Shiang‐Yao
Biochemistry and Molecular Biology Education
Artificial Intelligence in Healthcare and Education
article

Perspectives on Artificial Intelligence in Precision and Genomic Medicine Among Biology Students in Taiwan and Germany

Matthias Winfried Kleespies, Yi‐Ning Kelly Huang, Liu Shiang‐Yao
article en

Abstract

Artificial intelligence (AI) in biomedicine has gained significant attention, and its fusion with biology offers exciting possibilities. Understanding students' perspectives on AI is crucial for developing appropriate lessons. This study surveyed biology undergraduates and postgraduates in Taiwan (n = 71) and Germany (n = 51) to explore their perspectives on AI in precision medicine and life sciences and its integration into their education. Exploratory Factor Analysis identified dimensions such as perception of benefits, risks, ethics, acceptance, and willingness to learn AI. The findings revealed that about 70% of students were aware of AI discussions in the field, but 35% admitted lacking basic knowledge of the technologies. Notably, there was a positive correlation between perceiving benefits and the willingness to learn AI in both countries. Interestingly, Taiwanese students expressed more concerns about AI risks than German students but showed greater acceptance and willingness to learn AI. Additionally, a negative correlation between risk perception and willingness to learn AI was found among German students but not among Taiwanese students. This difference may relate to variations in AI education between the countries. Given the high willingness to incorporate AI into biology curricula, the field of biology should lead in educating students about these technologies.

Biochemistry and Molecular Biology EducationVol. 53(4)
Goethe University Frankfurt (DE), National Taiwan Normal University (TW)
Ministry of Science and Technology, Taiwan
Openalex Percentile: Top 94%
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.