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Motivations and learning strategies of many student taking programming course change along a course. There are positive change, where students are motivated to the learning. There are also negative change, where students are demotivated to the learning. The programming educators should know the change, especially, negative change, to prevent a student demotivation. Contextual inquiry is to get scenarios of students who already taken a programming course. The scenarios provides students motivation and learning strategies. Groups of students having similar motivation and learning strategies are achieved by classifying the scenarios using MSLQ. A persona is a virtual user with motivation and learning strategies representing a group of students as above. Web system is to get real learning behavior, called portfolios, of all of the students of the course. The paper uses Ward hierarchical clustering method to clusters the portfolios of every topics of the programming course. Clusters resulted from Ward method are mapped to personas found from scenarios. The result reveals which students belong to which personas at every topics. The paper clarifies the change of motivation of students belonging to a persona over topics of the course.

Analyzing Transitions of of Motivation and Learning Strategy with Ward Hierarchical Clustering