Misalignment Between Grading and Learning Objectives in the Age of AI

Rethinking Grading in the AI Era: Prioritizing Learning Over Metrics

The growing use of AI tools in education, such as ChatGPT, is revealing fundamental flaws in traditional grading systems that emphasize quantifiable metrics over genuine learning. This shift calls for a systemic realignment of assessment practices to better reflect meaningful student learning outcomes (SLOs).

Key Insights

1. The Disconnect Between Grades and Learning: Traditional grading systems focus on measurable outputs like test scores, attendance, and assignment completion. While these metrics offer a surface-level indication of participation, they fail to capture deeper aspects of learning, such as critical thinking, problem-solving, and the application of knowledge. Grades often reward outcomes rather than the intellectu ...