Why I Built Academic Automation Workflows: From Syllabus to Grades
Every semester begins the same way. A new set of courses. New class lists. Updated syllabi requirements. Fresh lesson plans. Lecture slides to revise. Assessments to prepare. Grades to compute. Reports to submit. LMS entries to encode. Clearances to secure. As a Computer Engineering professor, I realized that while the courses may evolve, the structure of my academic work almost never changes. The workflows repeat. The files repeat. The decisions repeat. Yet for many years, I handled these tasks manually—starting from scratch each semester. This post explains why I decided to treat teaching like a systems problem and how that decision led to the idea behind this blog: From syllabus to grades, academic work can be automated.
The Problem with Repeating Academic Work
University teaching involves a surprising amount of routine, structured labor. Consider a typical semester:
- Creating or revising a syllabus
- Mapping outcomes and assessments
- Preparing weekly lesson plans
- Updating lecture slides
- Designing exams and quizzes
- Tracking student submissions
- Computing grades
- Encoding grades into the LMS
- Preparing departmental and college reports
These tasks are essential—but they are also predictable. As engineers, we know that repetitive, predictable processes are prime candidates for system design and automation. Yet academic work is often treated as an exception, handled through ad-hoc files, manual computations, and last-minute fixes. The result?
- Lost time every semester
- Increased risk of errors
- Inconsistent documentation
- Burnout during midterms and finals
Author’s Note: Computer Engineering professor documenting practical academic automation workflows from syllabus to grades.
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