Generating Learning Environments Derived from Found Solutions by Adding Sub-goals Toward the Creative Learning Support

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Abstract

This paper proposes a learning goal space that visualizes the distribution of the obtained solutions to support the exploration of the learning goals for a learner. Subsequently, we examine the method for assisting a learner to present the novelty of the obtained solution. We conduct a learning experiment using the creative learning task to identify various solutions. To allow analyzing how to create the subject’s own learning goals for subjects, several measurement items related to the success of the task which is not instructed to the subjects are setup. In the comparative experiment, three types of learning feedbacks provided to the subjects are compared. The first type is presenting the learning goal space with obtained solutions mapped on it. The second type is directly presenting the novelty of the obtained solutions mapped on it. The third type is presenting some value that is slightly related to the obtained solution. In the experiments, each subject continues to learn the way to find solutions creatively. Therefore, in a creative learning task, these types of learning feedbacks support the learner continuously to set the learning goals.

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APA

Okudo, T., Yamaguchi, T., & Takadama, K. (2018). Generating Learning Environments Derived from Found Solutions by Adding Sub-goals Toward the Creative Learning Support. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10905 LNCS, pp. 313–330). Springer Verlag. https://doi.org/10.1007/978-3-319-92046-7_28

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