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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
Published on: September 4, 2019
Efficient validation of teaching and learning using multiple-choice exams
Mark DeSantis1, Thomas A McKean
1Department of Biological Sciences and WWAMI Medical Education Program, University of Idaho, Moscow, Idaho 83844, USA. starfish@uidaho.edu
First-year medical students significantly improved their neuroscience knowledge, nearly doubling their scores after an introductory course. A novel matrix tool also proved effective for evaluating test questions.
Area of Science:
- Neuroscience Education
- Medical Curriculum Development
- Educational Assessment
Background:
- Introductory neuroscience courses are crucial for first-year medical students.
- Assessing learning effectiveness and test validity is essential for curriculum improvement.
Purpose of the Study:
- To quantify learning gains in neuroscience for first-year medical students.
- To evaluate a computer-generated matrix for assessing medical test question validity.
Main Methods:
- Pre- and post-course multiple-choice tests were administered to assess knowledge acquisition.
- A two-dimensional computer-generated matrix was used to analyze test question validity and value.
Main Results:
- Student performance on neuroscience material improved significantly, with mean scores increasing from 41.8% to 81.4%.
- Learning gains were inversely proportional to initial knowledge, indicating targeted improvement.
- The matrix evaluation of test questions generally aligned with classical pedagogical analysis, offering a flexible and intuitive assessment method.
Conclusions:
- The introductory neuroscience course effectively enhanced medical students' knowledge.
- The computer-generated matrix shows promise as a valuable tool for educational assessment in medical training.
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