Optimal timing of faculty teaching when combined with near-peer teaching: A mixed methods analysis.

BACKGROUND Near-peer teaching is increasingly used in medical education, supporting or replacing faculty teaching. It has positive aspects for learners and tutors, some of which are explained by higher social and cognitive congruence between learners and near-peer tutors (NPTs). This study investigates the optimal combination of faculty tutors (FTs) and NPTs in an abdominal ultrasound course. METHODS Sixty-four third-year medical students underwent a basic ultrasound course, with 75% of lessons taught by NPTs and 25% by FTs. Each of four groups had a different faculty teaching timing. A mixed methods approach used a survey and semi-structured interviews at the course end to elicit learners' preferences, and end-of-course examination scores to look for differences in outcomes. RESULTS Most learners preferred having faculty teaching in the second half of the course, saying it would be overwhelming to start with FTs. Learners preferred between a quarter and a third of the teaching to be from FTs, with NPTs rated better at teaching basics, and FTs contributing unique, helpful clinical knowledge. There was no significant between-group difference in examination scores. CONCLUSIONS Medical students preferred most of their teaching to be from NPTs, with some faculty input in the second half of the course.

Institutions

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2024-10-26
DOI
https://doi.org/10.48350/192359
Primary Topic
Innovations in Medical Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal timing of faculty teaching when combined with near-peer teaching: A mixed methods analysis.

Open Access CRIS of the University of Bern
Innovations in Medical Education
article

Optimal timing of faculty teaching when combined with near-peer teaching: A mixed methods analysis.

article en

Abstract

BACKGROUND Near-peer teaching is increasingly used in medical education, supporting or replacing faculty teaching. It has positive aspects for learners and tutors, some of which are explained by higher social and cognitive congruence between learners and near-peer tutors (NPTs). This study investigates the optimal combination of faculty tutors (FTs) and NPTs in an abdominal ultrasound course. METHODS Sixty-four third-year medical students underwent a basic ultrasound course, with 75% of lessons taught by NPTs and 25% by FTs. Each of four groups had a different faculty teaching timing. A mixed methods approach used a survey and semi-structured interviews at the course end to elicit learners' preferences, and end-of-course examination scores to look for differences in outcomes. RESULTS Most learners preferred having faculty teaching in the second half of the course, saying it would be overwhelming to start with FTs. Learners preferred between a quarter and a third of the teaching to be from FTs, with NPTs rated better at teaching basics, and FTs contributing unique, helpful clinical knowledge. There was no significant between-group difference in examination scores. CONCLUSIONS Medical students preferred most of their teaching to be from NPTs, with some faculty input in the second half of the course.

Open Access CRIS of the University of Bern
Primary Health Care (QA)
Quality Education
Openalex Percentile: Top 43%
Innovations in Medical 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.

Optimal timing of faculty teaching when combined with near-peer teaching: A mixed methods analysis. · Open Access CRIS of the University of Bern (2024) | TGRS Research Map | TGRS