Mining Learners' Behavioral Sequential Patterns in a Blockly Visual Programming Educational Game
Wen‐Chung Shih · 2017
Previous researches have claimed that visual programming environments are helpful for learning programming by problem-solving. The purpose of this work is to use a blockly visual programming educational game for university students and analyze their sequential learning behaviors. The study presented a two-level sequential pattern mining algorithm to mine the students' behavioral patterns.