Qualitative Reasoning (QR) about physical system is one of the most active research areas in Artificial Intelligence (AI) in recent years. Author believe that the part taking of qualitative reasoning will help to expand artificial intelligence application in new domains such as those that are highly qualitative in nature and the development of articulate software. Educational software using qualitative model can offer high interactivity rather than merely a static content-driven tool. With this, educational software can be made more engaging and interesting. As a result, the practical value of qualitative reasoning is significantly increased in the development of Intelligent Tutoring Systems. This study reviews three prominent ontologies for QR. The suitability of applying qualitative reasoning for building intelligent educational software was also discussed.