Exploring the potential of large language models for integration into an academic statistical consulting service–the EXPOLS study protocol

This multimodal study includes four study parts using qualitative and quantitative methods to gather data. Study part (I) is designed as mixed mode study to explore the use of LLMs in supporting statistical consulting and to evaluate the utility, efficiency and satisfaction related to the use of LLMs. Study part (II) uses a standardized online questionnaire to evaluate the training module. Study part (III) evaluates the consulting sessions using LLMs from advisee perspective. Study part (IV) explores experiences, attitudes, fears and current practices regarding the use of LLMs of the staff at the Medical Center and the University of Freiburg. This study is registered at the Freiburg Registry of Clinical Studies under the ID: FRKS004971.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2024-12-04
DOI
https://doi.org/10.1371/journal.pone.0308375
Citations
3
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.36

Funders

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

Exploring the potential of large language models for integration into an academic statistical consulting service–the EXPOLS study protocol

Jörg Sahlmann, Harald Binder, Jochen Knaus, Dominikus Stelzer et al.
3 citations
PLoS ONE
Artificial Intelligence in Healthcare and Education
0.36
article

Exploring the potential of large language models for integration into an academic statistical consulting service–the EXPOLS study protocol

Jörg Sahlmann, Harald Binder, Jochen Knaus, Dominikus Stelzer, Urs Alexander Fichtner, Erika Graf, Susanne Weber, Martin Wolkewitz, G. Koch
article en
3 citations

Abstract

This multimodal study includes four study parts using qualitative and quantitative methods to gather data. Study part (I) is designed as mixed mode study to explore the use of LLMs in supporting statistical consulting and to evaluate the utility, efficiency and satisfaction related to the use of LLMs. Study part (II) uses a standardized online questionnaire to evaluate the training module. Study part (III) evaluates the consulting sessions using LLMs from advisee perspective. Study part (IV) explores experiences, attitudes, fears and current practices regarding the use of LLMs of the staff at the Medical Center and the University of Freiburg. This study is registered at the Freiburg Registry of Clinical Studies under the ID: FRKS004971.

PLoS ONEVol. 19(12)
University of Freiburg (DE)
Deutsche Forschungsgemeinschaft, Albert-Ludwigs-Universität Freiburg
Quality Education
Openalex Percentile: Top 34%
Artificial Intelligence in Healthcare and Education
0.36
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.