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Development and Analysis of a Learning Outcomes Assessment Instrument for a Single-Semester Nonmajors Biochemistry
Paul J Laybourn1, Brian Kalet1, Aaron J Sholders1
1Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, Colorado, USA.
Summary
Faculty developed a low-cost assessment tool to measure student learning in biochemistry. While overall scores improved, specific concepts showed minimal gains, highlighting areas needing new teaching strategies.
Area of Science:
- Biochemistry Education
- STEM Pedagogy
- Learning Outcomes Assessment
Background:
- Effective STEM teaching requires data-driven insights into student learning.
- Developing assessment tools for learning outcomes can be time-consuming and resource-intensive.
- Faculty need practical methods for evaluating educational interventions.
Purpose of the Study:
- To develop and validate a cost-effective learning outcomes assessment instrument for a nonmajors biochemistry course.
- To analyze student performance changes over a semester using the developed instrument.
- To identify specific content areas where pedagogical interventions may be necessary.
Main Methods:
- A true/false question instrument was created to assess learning objectives in protein structure, thermodynamics, and metabolism.
- The instrument was administered as a pre- and post-course evaluation over multiple semesters.
- Statistical analyses were performed on overall and individual question scores.
Main Results:
- Students demonstrated statistically significant improvements in cumulative scores from the beginning to the end of the semester.
- Analysis of individual questions revealed limited student improvement in specific content areas and concepts.
- The assessment methodology proved feasible for faculty with minimal funding and time.
Conclusions:
- The developed instrument is a viable tool for assessing learning gains in biochemistry.
- Targeted pedagogical interventions are needed to address identified knowledge gaps in specific topics.
- This approach supports a scientific, data-driven methodology for improving STEM education.
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