CSSAG -- Computer Science Short Answers in German

Please contact me at HFT Stuttgart to use the CSSAG corpus.

The corpus contains 31 questions and a total of around 1900 free-text answers in German. The domain is programming in Java. The answers are manually graded with partial credit, the questions are annotated with Rasch difficulty estimates and Bloom levels.

Relevant publications: Pado&Kiefer (2015), Pado (2017)

ASYST for manual grading support

The ASYST tool was created on the basis of the bachelor's theses of Larissa Kirschner and Yunus Eryilmaz. It is meant as a standalone, purely local tool for teachers who grade free-text answers. The tool suggests grades that the teacher reviews following a suggested process to optimize grading quality.

Relevant publication: Pado, Eryilmaz & Kirschner (2023)