As many students and teachers experience, learning to code is hard and challenging. It is a skill that needs to be learned by doing, and a skill that is learned by making mistakes and learning from these mistakes. Without sufficient feedback, however, it is challenging for students to know how and where to improve, and it might impair their motivation too.
On the other hand, assessing students individually and giving sufficient feedback is hard and time-consuming for teachers. Especially with the growing demand for ICT and Computer Science degrees, teachers can only spend less time per student.
Another issue often seen in higher education, is that assessment is done similar to other studies, where the only summative assessment is at the end of the course in the form of a final exam. This is not particularly suited to programming courses, where students need feedback constantly and have to spend time learning to program. Graded weekly or biweekly assignments, for example, could help solve this. It is necessary, though, to give not only summative feedback, in the form of a grade, but also formative feedback, to let a student know what they did wrong and how to improve on it. Even if this feedback can be given qualitative, it is important that students receive it timely, and not weeks after they submitted their assignments.
This means that the workload on teachers is high, and often it is impossible to achieve all these three goals.
To be able to give timely feedback, automated assessment could help solve this. In grading programming assignments, manually testing if it the functionality is working correctly, is hugely time-consuming. Being able to automatically assess this, would only require teachers to set up automatic testing scripts once for all students (which can be potentially used for multiple years).
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