We developed a lecture content viewing system using lecture content metadata. The lecture content viewing system developed by us has the function to reproduce the lecture contents based on the index and the function to reproduce the unit and learning contents of the lecture contents. However, it is necessary to grasp the scene that the learner himself/herself wants to learn, then it has not reached support of adaptive learning. In this research, we develop a lecture content recommendation system that supports adaptive learning based on learner’s understanding. In this paper, we focus on the learner’s questioning behavior as a method of grasping the learner understanding. We describe the survey of learner experiences using journey map and the chat function that encourages question behavior in learning using lecture contents.