CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding
Ifeyinwa Okoye, Steven J. Bethard, Tamara Sumner · 2013
Assessing student understanding by evaluating their free text answers to posed questions is a very important task. However, manually, it is time-consuming and computationally, it is difficult. This paper details our shallow NLP approach to computationally assessing student free text answers when a reference answer is provided. For four out of the five test sets, our system achieved an overall accuracy above the median and mean. 1