“…The availability of rich data sources has accelerated the development of learning analytics and educational data mining tools. For example, some of the work has been focusing on pedagogical recommendation [13,26], measurements of student behaviors in ITSs [18,8,11], and the detection of learning behaviors in a physical environment, such as wandering detection [22]. Some other work has concentrated on the student performance prediction, such as dropout prediction [23,7], grade prediction [1,19], and knowledge tracing [5,16,17,25].…”