  A prerequisite is anything that you need to know or understand first before
attempting to learn or understand something new. In the current work, we
present a method of finding prerequisite relations between concepts using
related textbooks. Previous researchers have focused on finding these relations
using Wikipedia link structure through unsupervised and supervised learning
approaches. In the current work, we have proposed two methods, one is
statistical method and another is learning-based method. We mine the rich and
structured knowledge available in the textbooks to find the content for those
concepts and the order in which they are discussed. Using this information,
proposed statistical method estimates explicit as well as implicit prerequisite
relations between concepts. During experiments, we have found performance of
proposed statistical method is better than the popular RefD method, which uses
Wikipedia link structure. And proposed learning-based method has shown a
significant increase in the efficiency of supervised learning method when
compared with graph and text-based learning-based approaches.
