Evaluating a Large Language Model’s Ability to Synthesize a Health Science Master’s Thesis: Case Study

Our demonstration highlights the ease with which an LLM can synthesize research data, conduct scientific analyses, and produce credible research papers required for graduation from a master's program. A clear and well-written master's thesis, citing subject matter authorities and true to the expectations for academic writing, can no longer be regarded as solid proof of either extensive study or subject matter mastery. To uphold the integrity of academic standards and the value of university diplomas, we recommend that master's programs prioritize oral examinations and school exams. This shift is now crucial to ensure a fair and rigorous assessment of higher-order learning and abilities at the master's level.

Authors

Institutions

Publication Details

Journal
JMIR Formative Research
Published
2025-05-15
DOI
https://doi.org/10.2196/73248
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.65
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating a Large Language Model’s Ability to Synthesize a Health Science Master’s Thesis: Case Study

Pål Joranger, Sara Rivenes Lafontan, Asgeir Brevik
1 citations
JMIR Formative Research
Artificial Intelligence in Healthcare and Education
0.65
article

Evaluating a Large Language Model’s Ability to Synthesize a Health Science Master’s Thesis: Case Study

Pål Joranger, Sara Rivenes Lafontan, Asgeir Brevik
article en
1 citations

Abstract

Our demonstration highlights the ease with which an LLM can synthesize research data, conduct scientific analyses, and produce credible research papers required for graduation from a master's program. A clear and well-written master's thesis, citing subject matter authorities and true to the expectations for academic writing, can no longer be regarded as solid proof of either extensive study or subject matter mastery. To uphold the integrity of academic standards and the value of university diplomas, we recommend that master's programs prioritize oral examinations and school exams. This shift is now crucial to ensure a fair and rigorous assessment of higher-order learning and abilities at the master's level.

JMIR Formative ResearchVol. 9
OsloMet – Oslo Metropolitan University (NO), Universidad Metropolitana (PR)
Quality Education
Openalex Percentile: Top 25%
Artificial Intelligence in Healthcare and Education
0.65
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.