Automatic Processing of Text Responses in Large-Scale Assessments
Dr. Fabian Zehner➚, Research associate DIPF
In automatic coding of short text responses a computer categorizes responses. In the thesis, a free software has been developed capable of (i) grouping text responses into semantically homogeneous types, (ii) coding the types, and (iii) extracting features. Results showed fair to good up to excellent agreement between the software’s and humans’ coding (76–98%) of 41,990 responses. Two further studies showed how the software can advance the assessment process and content-related research areas.
Doctoral supervisor: Prof. Dr. Manfred Prenzel➚