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Towards a Grading Model That Supports Learning in Biology Courses.
Stacy C Farina1, Catherine L Quinlan2
1Department of Biology, Howard University, Washington DC 20059, USA.
This study explored innovative grading in advanced biology courses, moving from traditional methods to an open schematic. This approach supports student agency and learning progression, even after poor performance.
Area of Science:
- Biology Education
- Cognitive Science in Education
Background:
- Advanced biology courses present significant learning challenges, exacerbated by the COVID-19 pandemic.
- Traditional grading may not fully support student learning progression or agency.
Purpose of the Study:
- To investigate the implementation and impact of an open grading schematic in advanced biology courses.
- To align grading practices with cognitive theories of knowledge acquisition.
- To foster student learning, improvement, and retention in STEM subjects.
Main Methods:
- Analysis of perspectives and course procedures in two advanced biology courses.
- Transition from traditional grading to a more open grading schematic.
- Alignment of the new model with applied cognitive theories.
Main Results:
- The open grading schematic facilitated significant student change and learning.
- The model provided opportunities for students to revisit and improve understanding in challenging areas.
- The approach empowered students and supported their agency in the learning process.
Conclusions:
- Restructuring grading schemes can effectively address challenges in advanced biology courses.
- An open grading model, informed by cognitive science, promotes deeper learning and retention.
- This approach offers a valuable alternative for STEM educators focused on student progress.
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