CONCEPT maps, which are visual representations of a particular topic and its subcomponents, have been used in multiple settings to teach information. The power of the concept map lies in the fact that it requires the elucida- tion of the relationships between the subcomponents of a particular topic. The effectiveness of using concept maps for knowledge retention over other forms of summarizing information has been demonstrated in multiple studies [1] and in naturalistic settings [2]. In addition, concept maps can be used as a form of evaluation of student learning [3], [4]. When a particular topic is taught, concept maps can be utilized to determine what the student knows about a sub- ject, rather than using more traditional forms of assessment such as multiple-choice exams.
We are in the process of developing a tool to evaluate student learning using concept maps [5], [6]. Here, a student would be given a topic to learn and build [7] a concept map based on their understanding of the topic. This tool, coined as artificial intelligence based student learning evaluation tool (AISLE), would then evaluate [8], [9] the concept map and assess if the student has captured enough concepts from the given topic. This will help the instructor in evaluat- ing a student’s understanding of the topic.