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In this paper, an automated lesson generation system for guiding beginners to learn basic dance movements is proposed. It analyzes the dance to generate a two-phase lesson which can provide a suitable cognitive load thus offering an efficient learning experience. In the first phase, the dance is divided into small pieces which are patterns, and then those patterns are arranged to form an easy-to-complex learning path according to the prerequisite relations. The courseware of the second phase is responsible for guiding students to assemble all the patterns into the full dance. The learning process of the second phase adapts to the student's background knowledge and preference. It keeps monitoring the students' performances during the learning process, and adaptively adding new patterns for the students to learn. A user study which involved 52 college students who had never been trained to dance before was conducted and the results are optimistic implying that the two-phase lesson is a practical way for people to learn dance. (Contains 10 tables and 21 figures.)

In this paper, an automatic lesson generation system is presented which is suitable in a learning-by-mimicking scenario where the learning objects can be represented as multiattribute time series data. The dance is used as an example in this paper to illustrate the idea. Given a dance motion sequence as the input, the proposed lesson generation system automatically generates the lesson plan for students. It first extracts patterns from the input dance sequence to form the learning objects. The prerequisite structure is then built by considering the relations between the learning objects. Afterward the knowledge structure is constructed from the prerequisite structure based on the knowledge space theory. Finally, the learning path is derived according to an easy-to-complex manner while respecting the prerequisite relations. A user study that involved 40 students was conducted to evaluate the proposed work. The average learning time required for the treatment group (learning with the proposed system) was found to be lower than that of the control group (learning by free browsing) thus demonstrating the learning efficiency of the proposed system. The feedback from the questionnaires indicated that a majority of the subjects showed positive response toward the usefulness and rationality of our proposed system. (Contains 12 figures and 1 table.)