Summary

This subproject of the Swissuniversities project "Digital Examinations" is intended to investigate and test the technological developments of automated examinations that are driven by digital analytics and AI methods which are currently evolving rapidly. Specifically, this subproject aims to build competencies in data analytics for digital exams, in particular to automatically assess and evaluate open-ended exam questions and to provide feedback by means of semantic analyses. The benefit of the project is thus to demonstrate the potentials of automated assessments for diagnostic, formative and summative purposes in university teaching, especially in large-scale scenarios. Automatic grading and feedback allows the use of not only multiple choice questions but also open-ended questions in an integrated and automated way. The benefit for lecturers of conducting digital or (partially) automated assessments is, in particular, a gain in efficiency and lower correction effort. In addition, it is expected that the quality of the examinations can be improved through precise individualized feedback. The automated evaluation of open-ended questions can also be increasingly used for formative assessments (i.e., feedback to students on their learning status) and thus also enhance the quality of teaching.