According to the workshop, what is the primary goal of shifting to process-based assessments?
The primary goal of shifting to process-based assessments is to make assignments so focused on a student’s unique process that bypassing work with AI becomes nearly impossible.
Traditional grading heavily emphasizes the final product, such as a finished essay or a completed worksheet. Because generative artificial intelligence can instantly produce these final deliverables, standard assignments are highly vulnerable to academic dishonesty.
Process-based assessments fundamentally change this dynamic by evaluating the educational journey instead of just the destination. When educators grade brainstorming sessions, rough drafts, peer feedback, and personal reflections, they anchor the assignment in the student’s authentic learning experience. An AI cannot accurately replicate a student’s unique cognitive evolution, individual struggles, or specific in-class discussions.
By requiring learners to document their ongoing work and defend their creative choices, teachers naturally design assignments that are incredibly difficult to automate. This approach ensures students actually engage with the material, rendering quick AI shortcuts entirely ineffective.