3 papers
cs.CL2019
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning
Jonas Pfeiffer, Christian M. Meyer, Claudia Schulz +7
Our proposed system FAMULUS helps students learn to diagnose based on automatic feedback in virtual patient simulations, and it supports instructors in labeling training data. Diag…
cs.CL2019
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains
Claudia Schulz, Christian M. Meyer, Jan Kiesewetter +5
Many complex discourse-level tasks can aid domain experts in their work but require costly expert annotations for data creation. To speed up and ease annotations, we investigate th…
cs.AI2018
Challenges in the Automatic Analysis of Students' Diagnostic Reasoning
Claudia Schulz, Christian M. Meyer, Michael Sailer +5
Diagnostic reasoning is a key component of many professions. To improve students' diagnostic reasoning skills, educational psychologists analyse and give feedback on epistemic acti…