Individual feedback is a core ingredient of a personalised learning path. However, it also is time-intensive and, as a teaching form, it is not easily scalable. In order to make individual feedback realisable for larger groups of students, we develop tool support for teaching assistants to use in the process of giving feedback. In this paper, we introduce Apollo, a tool that automatically analyses code uploaded by students with respect to their progression towards the learning objectives of the course. First, typical learning objectives in Computer Science courses are analysed on their suitability for automated assessment. A set of learning objectives is analysed further to get an understanding of what achievement of these objectives looks like in code. Finally, this is implemented in Apollo, a tool that assesses the achievement of learning objectives in Processing projects. Early results suggest an agreement in assessment between Apollo and teaching assistants.

In the programming course of our engineering design degree tutorials are the focal point of learning. This is especially so since we employ a tinkering based educational approach, in which students explore, from the very beginning, the material by self-defined projects. The assignment defines ingredients to use and sets expectations, but students are free to set their own design goals. In this setting tutorials are an important place of feedback and learning, and we developed an online platform that supports tutors during tutorials. This paper reports on the educational philosophy and underpinnings, and results from applying the tool in two first-year courses.

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