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Published on: October 29, 2020
Application of the Microbiology Concept Inventory to improve programmatic curriculum
Macy J L Rennpferd1, Madeline V Schroeder1, Jonathan J Nguyen1
1North Dakota State University, Fargo, North Dakota, USA.
The Microbiology Concept Inventory reveals significant score differences based on cumulative GPA and ethnicity, suggesting potential ethnic bias but no gender bias. Curriculum adjustments may improve student success.
Area of Science:
- Microbiology education
- Educational assessment
- Concept inventory development
Background:
- The Microbiology Concept Inventory (MCI) is based on fundamental statements from the American Society for Microbiology.
- This assessment uses a two-tier, multiple-choice format requiring justification for student reasoning.
- Educators use the MCI to identify and address student misconceptions in microbiology.
Purpose of the Study:
- To evaluate the Microbiology Concept Inventory's effectiveness in assessing undergraduate microbiology students.
- To analyze MCI scores across various demographic factors and course levels.
- To identify potential biases and curriculum-related improvements.
Main Methods:
- The MCI was administered annually for 5 years to undergraduate students in entry-level, mid-level, and capstone microbiology courses.
- Data analysis compared MCI scores based on course, year, major/minor, gender, ethnicity, and cumulative GPA.
- Statistical analysis identified significant differences in scores among demographic groups.
Main Results:
- Significant differences in MCI scores were observed between students with high (3.5-4.0) and lower (2.5-3.49) cumulative GPAs.
- Statistically significant score differences favored white students, indicating potential ethnic bias.
- No statistically significant differences in scores were found between genders.
Conclusions:
- The MCI results suggest evidence of ethnic bias, but not gender bias.
- Significant score variations across cohorts indicate potential curriculum improvements.
- Concept inventory analysis provides valuable data for guiding curriculum changes and enhancing student academic success.
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