Application of Text Mining Methods to Analyze Learning Contents in the Field Study and Training at University Farm

Abstract

This study employs text mining methods to determine the learning contents in field study and training at university farm. We collected reports regarding learning contents prepared by university students participating in field training. We employed text mining methods and identified the learning contents in each class (14 classes in total). The results of the study indicated that students mainly learn the characteristics and growth habits of the crops as well as cultivation techniques. Moreover, it revealed that agriculture requires intense physical labor; therefore, a high cultivation technique is essential to sell the crops efficiently. In addition, we compared the training contents with learning contents and indicated the points for improvement concerning the training programs.