Mining Sequential Patterns to Explore Users' Learning Behavior in a Visual Programming App

Visual programming environments combined with problem-solving are useful for promoting students' motivation of learning programming. The purpose of this work is to use a blockly visual programming educational app for university students and analyze their learning behavior patterns. The study uses a sequential pattern mining tool to mine the students' behavioral patterns. The preliminary results showed that the proposed method can find behavior patterns of high-achievement students and low-achievement students.