Towards concept map based free student answer assessment
We propose a concept map based approach to assessing freely generated student responses. The proposed approach is based on a novel automated tuple extraction system, DT-OpenIE, for automatically extracting concept maps from student responses. The DT-OpenIE system is significantly better, for assessment purposes, in terms of concept map quality than state-of-the-art open information extraction (IE) systems such as Ollie or Stanford as evidenced by our experimental results. The concept map based approach can not only generate a holistic score assessing the accuracy of a student response but also enable diagnostic feedback.
Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019
Maharjan, N., & Rus, V. (2019). Towards concept map based free student answer assessment. Proceedings of the 32nd International Florida Artificial Intelligence Research Society Conference, FLAIRS 2019, 197-202. Retrieved from https://digitalcommons.memphis.edu/facpubs/3288