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Bioinformatics for undergraduates: Steps toward a quantitative bioscience curriculum*.

Barbara S Chapman¹, James L Christmann, Eileen F Thatcher

¹Institute of Interdisciplinary Studies, Rohnert Park, California 94928.

Biochemistry and Molecular Biology Education : a Bimonthly Publication of the International Union of Biochemistry and Molecular Biology

|June 4, 2011

Summary

This study details a new bioinformatics course for undergraduates, emphasizing problem-based learning and computer-assisted instruction. Initial results show the course effectively integrates core biological principles with computational reasoning.

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Area of Science:

Bioinformatics education
Undergraduate biology curriculum

Background:

Traditional biology education often lacks computational components.
There is a need for innovative teaching methods in life sciences.

Purpose of the Study:

To describe the design and implementation of a novel bioinformatics course.
To evaluate the effectiveness of a computer-assisted, problem-based learning model in undergraduate biology.

Main Methods:

Course design incorporating problem-based learning and computational tools.
Development of assessment methods for course materials and student learning.
Analysis of results from initial course offerings.

Main Results:

The course successfully integrated bioinformatics principles into the undergraduate biology curriculum.
The computer-assisted, problem-based learning model was effective in teaching core concepts.
Assessment data provided insights into student understanding and course efficacy.

Conclusions:

The developed bioinformatics course provides a valuable model for integrating computational skills into biology education.
Problem-based learning enhances student engagement and understanding of complex biological reasoning.