AI for self-assessment
Assessment is not simply a way of measuring what students have learned at the end of a course. It is one of the strongest forces shaping how students study and what they give attention to. In a learnig situation assessment guides studying and learning more than any other factor in a learning situation. In the Finnish upper secondary school law assessment is also defined as something that should guide and encourage learning while developing students’ self-assessment skills. In other words, assessment is not only about judging performance; it is about directing learning itself.
Self-assessment should have a place in all classrooms. When students are taught to assess their own learning, they begin to move toward a more precise awareness of what they know, what they can do, and where they still need support on. One effective way to strengthen students’ cognitive skills is to focus assessment on the learning process and to guide students in becoming aware of and evaluating their own work and thinking.
While self-assessment is important it does not happen automatically. Self-assessment works best when it is taught, scaffolded, and used primarily to support learning rather than to determine grades. Concrete examples on self-assessment tables, criteria and guidelines are in my presentation Reflective Education in the AI Era: Generating Self-Assessment Guidelines.
Example of a self-assessment spreadsheet in english for course MAA4: Analytic geometry and vectors
Self-assessment
