Nowadays, the flipped classroom or blended-learning models have been widely implemented in school settings. In these teaching models, students are provided with online materials to gain necessary knowledge before or after class. The instructional videos are often the main learning materials which students spend much time on watching. During their learning process, large amount of interaction data of students with their video system are generated. Therefore, this paper presents a video learning analytics system to collect and visualize these behavior data. This system has five main modules, which are login, video, quiz, visualization, and database. The system can collect students' learning behavior data in the background when students watch video in the video module and gather their learning results in the quiz module. Consequently, the visualization module is used to present students' video watching tracks and learning results. Using this system, it is easy for educators and researchers to evaluate the learning effect of students via video. These evaluation results can be used to improve the quality of student learning and teacher instruction.