Abstract:
This paper presents an innovation that includes modalities of generating and providing automated formative feedback to Computer Science undergraduate students. The paper addresses a challenge posed by the increasing numbers of students and amount of information teachers must deal with. A software solution providing automated formative feedback has been developed and used in this study in order to both support the students learning process and to use a criteria-based approach for assessment and peer-feedback. The automated data allowed for employing an algorithms-based analysis. Such analyses and findings provided the lecturer with input for new ways and tools to improve the students’ learning gains, while the logs from the software program can further be used through machine learning and AI to teach the program able to self-determine the grade.