Generative artificial intelligence (AI) posed challenges in evaluating students' writing, with instances of incorrect references and stilted prose emerging in submissions. The realization that human imperfection, shown through minor errors, indicated authenticity led to a new grading approach. Assignments required version histories instead of single final drafts, emphasizing the writing process. The new grading structure allotted 60% for idea development and 40% for composition quality. This approach aimed to cultivate genuine thought and creativity in student writing against the backdrop of AI-generated content.
After spending weeks verifying quotations, sources and even author identities, I felt less like a teacher and more like a forensic investigator.
I realized I wanted to see more imperfection.
Assignments could not be submitted as single PDFs showing only the final version. Every document had to have a version history.
The resulting score was the trajectory grade: 60% of the mark would reflect how ideas developed across drafts, and 40% would cover the quality of the completed version.
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