Reverse engineering anatomy and physiology education for biomedical engineering students

Teaching anatomy and physiology (A&P) to undergraduate biomedical engineering (BME) students presents unique challenges, as A&P curricula are traditionally designed for healthcare professions rather than engineering learners. This dissertation investigates BME students’ experiences in A&P courses and evaluates engineering-specific instructional, assessment, and learning strategies. A learning experience design framework was used to redesign an undergraduate A&P course, developed a BME student persona using a mixed-methods approach by combining thematic analysis and Q-methodology. This demonstrated that BME students perceived A&P as a content-heavy course with unclear expectations and minimal practice problems prototypical to traditional engineering courses. These results suggest that students lack effective discipline-specific approaches for A&P competency. We first evaluated the use of student-generated crib sheets as a learning tool, which showed that students who refined their sheets across multiple study sessions were 13-times more likely to improve examination performance than students who did not demonstrate iterative development. Additional modeling indicated that evidence of iteration - indicated through usable negative space - positively predicted examination success, whereas image use demonstrated mixed effects depending on what content area was assessed. A multifaceted intervention was implemented in a third-year BME A&P course. Gross anatomy laboratories were redesigned using guided-inquiry worksheets, requiring students to translate anatomical specimens into schematics as a form of “anatomical free-body-diagram”. Assessments were concurrently redesigned using objective structured practical examination (OSPE)-style questions to align with laboratory activities and evaluate visuospatial understanding. Outcomes were evaluated using Q-methodology and mixed linear modeling, demonstrating substantial improvements in student perceptions, motivation, and confidence in studying A&P, as well as a dose-dependent relationship between laboratory effort and examination outcomes. This work demonstrates that disciplinary misalignment in A&P education for BME students can be addressed through intentional integration of engineering-aligned learning strategies, scaffolded assessment design, and discipline-specific knowledge representation. We improved learning outcomes and student perceptions by aligning instructional methods with students’ epistemic and problem-solving orientations. This research offers a transferable framework for redesigning interdisciplinary curricula, highlighting the importance of aligning assessment and disciplinary identity to support meaningful learning.

Authors

Publication Details

Journal
Open Collections
Published
2026-09-11
DOI
https://doi.org/10.14288/1.0456163
Primary Topic
Anatomy and Medical Technology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Reverse engineering anatomy and physiology education for biomedical engineering students

Anthony Saraco
Open Collections
Anatomy and Medical Technology
article

Reverse engineering anatomy and physiology education for biomedical engineering students

Anthony Saraco
article en

Abstract

Teaching anatomy and physiology (A&P) to undergraduate biomedical engineering (BME) students presents unique challenges, as A&P curricula are traditionally designed for healthcare professions rather than engineering learners. This dissertation investigates BME students’ experiences in A&P courses and evaluates engineering-specific instructional, assessment, and learning strategies. A learning experience design framework was used to redesign an undergraduate A&P course, developed a BME student persona using a mixed-methods approach by combining thematic analysis and Q-methodology. This demonstrated that BME students perceived A&P as a content-heavy course with unclear expectations and minimal practice problems prototypical to traditional engineering courses. These results suggest that students lack effective discipline-specific approaches for A&P competency. We first evaluated the use of student-generated crib sheets as a learning tool, which showed that students who refined their sheets across multiple study sessions were 13-times more likely to improve examination performance than students who did not demonstrate iterative development. Additional modeling indicated that evidence of iteration - indicated through usable negative space - positively predicted examination success, whereas image use demonstrated mixed effects depending on what content area was assessed. A multifaceted intervention was implemented in a third-year BME A&P course. Gross anatomy laboratories were redesigned using guided-inquiry worksheets, requiring students to translate anatomical specimens into schematics as a form of “anatomical free-body-diagram”. Assessments were concurrently redesigned using objective structured practical examination (OSPE)-style questions to align with laboratory activities and evaluate visuospatial understanding. Outcomes were evaluated using Q-methodology and mixed linear modeling, demonstrating substantial improvements in student perceptions, motivation, and confidence in studying A&P, as well as a dose-dependent relationship between laboratory effort and examination outcomes. This work demonstrates that disciplinary misalignment in A&P education for BME students can be addressed through intentional integration of engineering-aligned learning strategies, scaffolded assessment design, and discipline-specific knowledge representation. We improved learning outcomes and student perceptions by aligning instructional methods with students’ epistemic and problem-solving orientations. This research offers a transferable framework for redesigning interdisciplinary curricula, highlighting the importance of aligning assessment and disciplinary identity to support meaningful learning.

Open Collections
Quality Education
Openalex Percentile: Top 21%
Anatomy and Medical Technology
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.