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Supplemental Learning in the Laboratory: An Innovative Approach for Evaluating Knowledge and Method Transfer
Melissa D Carter1, Sarah S Pierce2, Albert D Dukes3
1Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.
Journal of Chemical Education
|August 21, 2018
Summary
The Multi-Rule Quality Control System (MRQCS) effectively compared instructor-led and computer-led chemistry lectures. No significant difference was found in quality control passing rates between the two teaching methods.
Area of Science:
- Chemical Education Research
- Laboratory Science
- Educational Technology
Background:
- The Multi-Rule Quality Control System (MRQCS) is utilized by the CDC for laboratory performance evaluation.
- Assessing the efficacy of different instructional methods in science education is crucial for pedagogical improvement.
Purpose of the Study:
- To apply the MRQCS to compare instructor-led and computer-led pre-laboratory lectures in chemistry.
- To determine if there is a statistical difference in student performance based on lecture delivery mode.
Main Methods:
- Students in general and analytical chemistry courses participated in two laboratory experiments.
- The first experiment focused on Beer-Lambert's Law, with instructor-led instruction.
- The second experiment involved applying learned methodology to a new analyte, with randomly assigned instructor-led or computer-led pre-laboratory lectures.
Main Results:
- The MRQCS was applied to analyze quality control (QC) passing rates for both instructional groups.
- No statistically significant difference was observed in QC passing rates between students receiving instructor-led versus computer-led pre-laboratory instruction.
Conclusions:
- The MRQCS is a viable tool for evaluating knowledge and technology transfer in educational settings.
- Computer-led instruction can be as effective as instructor-led methods for pre-laboratory chemistry lectures, as indicated by student performance metrics.
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