What is it about?
In many university courses, students learn best when they work on real-world projects rather than just follow step-by-step instructions. However, these projects often don’t have one “right” answer — there are many ways to solve the same problem, and what counts as a good solution can depend on personal opinion. This paper explores how teachers can better design and assess these open-ended, or “ill-defined,” projects in computer science courses. By looking at real examples from two university courses, the authors suggest new ways to break down and evaluate complex student projects fairly, helping both students and teachers understand what’s expected and how to succeed.
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Why is it important?
This work stands out by offering a more detailed model for understanding and classifying the “ill-definedness” of project-based learning tasks. Rather than treating all open-ended projects the same, the authors introduce a refined framework that helps educators distinguish between different kinds of uncertainty and subjectivity in student work. This is particularly timely as more courses embrace project-based and real-world learning, which require new ways to assess students’ work fairly and transparently. The proposed model not only clarifies the assessment process but also points the way toward developing better tools for automated or semi-automated grading in complex educational settings.
Perspectives
I’m the kind of teacher that always asks open-ended questions in exams and gives a lot of freedom for students in projects. Preparing this paper made me reflect on the challenges teachers and students face when the “rules of the game” aren’t always clear. I’ve seen how ambiguity in project requirements or grading can lead to frustration — but also to creativity and deep learning. My hope is that our refined model helps educators design courses that are both flexible and fair, giving students room to innovate while making it easier to recognize and reward genuine achievement. Ultimately, I hope that clearer models of assessment will empower both learners and teachers to focus more on learning and less on worrying about how to “get the grade.”
Vadim Zaytsev
Universiteit Twente
Read the Original
This page is a summary of: A refined model of ill-definedness in project-based learning, October 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3550356.3556505.
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