The paper “Automated Grading Of Short Text Answers: Preliminary Results In A Course Of Health Informatics” has been accepted for presentation at the 18th International Conference on Web-based Learning (ICWL2019). This work is a joint effort between our group and University of L’Aquila, and is authored by Giovanni De Gasperis, Stefano Menini, Sara Tonelli and Pierpaolo Vittorini.
Students learning Health Informatics in the degree course of Medicine and Surgery of the University of LAquila (Italy) are required to pass the exam to submit solutions to assignments concerning the execution and interpretation of statistical analyses. The paper presents a tool for the automated grading of such a kind of solutions, where the statistical analyses are made up R commands and outputs, and the interpretations are short text answers. The tool performs a static analysis of the R commands with the respective output, and uses Natural Language Processing techniques for the short text answers. The paper summarises the solution regarding the R commands and output, and delves into the method and the results used for the automated classification of the short text answers.