Modern Classrooms Project Podcast
Episode 158: Automated Grading vs. Teacher Grading
Sep 24, 2023
Sarah Hower, an innovative educator focused on grading automation, shares her insights on balancing automated and teacher assessments. She discusses the effectiveness of certain assignments for automated grading while emphasizing the importance of personalized feedback. The conversation highlights how AI, including tools like ChatGPT, can enhance grading accuracy and efficiency. Hower also underscores the need for transparent communication about grading changes to maintain student motivation and engagement in a mastery-based learning environment.
29:20
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Quick takeaways
- Automating grading allows for quick assessments and efficient classroom management, but lacks the personalized insights necessary for deeper understanding.
- Mastery-based learning shifts the focus from traditional grading to meaningful feedback and student engagement, enhancing ownership of their learning.
Deep dives
Embracing Mastery-Based Learning
The transition to mastery-based learning has significantly transformed the teaching approach for many educators. By implementing a mastery check format, teachers can focus more on providing valuable feedback rather than being bogged down by grading less meaningful tasks like homework. For example, educators have found that by grading fewer traditional assignments, they can concentrate on key assessments that truly reflect student understanding, leading to deeper conversations about learning. This shift not only benefits the teacher’s workload but also enhances student engagement by making feedback more personalized and relevant.
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