A novel ‘Blended Pedagogy’ for integrating bioinformatics into the undergraduate medical curriculum: a pilot study on feasibility and student engagement

Bioinformatics has become an integral part of genomic medicine; however, its formal inclusion in undergraduate medical education remains limited. Early, structured exposure is essential to bridge the gap between theoretical molecular biology and its computational applications in clinical contexts. This pilot study evaluated the feasibility and acceptability of integrating introductory, clinically contextualised bioinformatics sessions within the first-year molecular biology module of the MBBS curriculum, focusing on short-term changes in medical students’ attitudes, perceived relevance, and engagement with bioinformatics and preparing the future physicians for data-driven clinical practice. A 10-week molecular biology module with scaffolded, clinically anchored bioinformatics sessions was implemented for first-year MBBS students. Blended Gagné’s Nine Events of Instruction and Peyton’s Four-Step Approach were used as instruction methods. Clinical case vignettes (e.g., TP53 mutation in Li-Fraumeni Syndrome) provided hands-on training on bioinformatics tools, linking sequence to structural and network analysis (BLAST, CLUSTAL W, PHYRE2, PolyPhen-2, HOPE, and STRING). Students’ attitudes and skills were measured using an adapted Colorado Learning Attitudes about Science (CLASS-Bio) Survey with 28 items. Pre- and post-intervention changes in “Motivation and Relevance,” “Problem-solving and confidence,” and “Epistemological Beliefs” were assessed using paired t-tests with Bonferroni correction and Cohen’s d for practical magnitude and clustering analysis to identify engagement patterns (Python 3.12.7). The intervention improved ‘Motivation and Relevance’ scores (p < 0.001), with gains in interest, perceived relevance, and willingness to pursue further bioinformatics learning. One item (interest in additional bioinformatics coursework) showed statistically significant improvement after Bonferroni correction (p < 0.001), while six other items in the same domain showed nominal significance (p < 0.05), including enjoyment, improved self-efficacy, and perceived tool utility. No significant change was observed in ‘Problem-Solving and Confidence’ (p = 0.39) or ‘Epistemological Beliefs’ domain (p = 0.90). Clustering analysis suggested three exploratory engagement profiles: ‘enthusiasts’, ‘moderately positive, and ‘cautious learners.’ This pilot study supports the feasibility and acceptability of integrating clinically contextualised bioinformatics sessions into first-year molecular biology using a structured blended pedagogy. The module was associated with improved motivation and perceived relevance, while changes in confidence and epistemological beliefs were not observed. Larger multi-institutional studies incorporating objective learning outcomes and comparative designs are warranted to evaluate effectiveness and skill retention. Integrating bioinformatics early in the medical curriculum enhances student motivation and perceived relevance of molecular biology. A blended pedagogy using Gagné’s and Peyton’s frameworks supports conceptual understanding and hands-on learning. Clinically anchored case vignettes (e.g., TP53-Li-Fraumeni) effectively link molecular concepts to bioinformatics practice. Stepwise exposure to tools from sequence to structure reduces cognitive load and fosters integrative learning. Adapting validated attitudinal tools (CLASS-Bio) enables systematic evaluation of interdisciplinary modules.

Authors

Institutions

Publication Details

Journal
BMC Medical Education
Published
2026-04-07
DOI
https://doi.org/10.1186/s12909-026-09116-8
Primary Topic
Genetics, Bioinformatics, and Biomedical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A novel ‘Blended Pedagogy’ for integrating bioinformatics into the undergraduate medical curriculum: a pilot study on feasibility and student engagement

Anupam Berwal, Deepak Parchwani, Lokvendra Singh Budania, Ragini Singh et al.
BMC Medical Education
Genetics, Bioinformatics, and Biomedical Research
article

A novel ‘Blended Pedagogy’ for integrating bioinformatics into the undergraduate medical curriculum: a pilot study on feasibility and student engagement

Anupam Berwal, Deepak Parchwani, Lokvendra Singh Budania, Ragini Singh, Ravindra Kumar, Sagar Dholariya
article en

Abstract

Bioinformatics has become an integral part of genomic medicine; however, its formal inclusion in undergraduate medical education remains limited. Early, structured exposure is essential to bridge the gap between theoretical molecular biology and its computational applications in clinical contexts. This pilot study evaluated the feasibility and acceptability of integrating introductory, clinically contextualised bioinformatics sessions within the first-year molecular biology module of the MBBS curriculum, focusing on short-term changes in medical students’ attitudes, perceived relevance, and engagement with bioinformatics and preparing the future physicians for data-driven clinical practice. A 10-week molecular biology module with scaffolded, clinically anchored bioinformatics sessions was implemented for first-year MBBS students. Blended Gagné’s Nine Events of Instruction and Peyton’s Four-Step Approach were used as instruction methods. Clinical case vignettes (e.g., TP53 mutation in Li-Fraumeni Syndrome) provided hands-on training on bioinformatics tools, linking sequence to structural and network analysis (BLAST, CLUSTAL W, PHYRE2, PolyPhen-2, HOPE, and STRING). Students’ attitudes and skills were measured using an adapted Colorado Learning Attitudes about Science (CLASS-Bio) Survey with 28 items. Pre- and post-intervention changes in “Motivation and Relevance,” “Problem-solving and confidence,” and “Epistemological Beliefs” were assessed using paired t-tests with Bonferroni correction and Cohen’s d for practical magnitude and clustering analysis to identify engagement patterns (Python 3.12.7). The intervention improved ‘Motivation and Relevance’ scores (p < 0.001), with gains in interest, perceived relevance, and willingness to pursue further bioinformatics learning. One item (interest in additional bioinformatics coursework) showed statistically significant improvement after Bonferroni correction (p < 0.001), while six other items in the same domain showed nominal significance (p < 0.05), including enjoyment, improved self-efficacy, and perceived tool utility. No significant change was observed in ‘Problem-Solving and Confidence’ (p = 0.39) or ‘Epistemological Beliefs’ domain (p = 0.90). Clustering analysis suggested three exploratory engagement profiles: ‘enthusiasts’, ‘moderately positive, and ‘cautious learners.’ This pilot study supports the feasibility and acceptability of integrating clinically contextualised bioinformatics sessions into first-year molecular biology using a structured blended pedagogy. The module was associated with improved motivation and perceived relevance, while changes in confidence and epistemological beliefs were not observed. Larger multi-institutional studies incorporating objective learning outcomes and comparative designs are warranted to evaluate effectiveness and skill retention. Integrating bioinformatics early in the medical curriculum enhances student motivation and perceived relevance of molecular biology. A blended pedagogy using Gagné’s and Peyton’s frameworks supports conceptual understanding and hands-on learning. Clinically anchored case vignettes (e.g., TP53-Li-Fraumeni) effectively link molecular concepts to bioinformatics practice. Stepwise exposure to tools from sequence to structure reduces cognitive load and fosters integrative learning. Adapting validated attitudinal tools (CLASS-Bio) enables systematic evaluation of interdisciplinary modules.

BMC Medical Education
National Institute of Technology Calicut (IN), All India Institute of Medical Sciences Jodhpur (IN), Kalpana Chawla Government Medical College and Hospital (IN), All India Institute of Medical Sciences (IN)
Quality Education
Openalex Percentile: Top 27%
Genetics, Bioinformatics, and Biomedical Research
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.