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Learning Programming through Data Visualization: Developing Inclusive Materials for Genders and Fields, and Practicing in an Art and Design Course
DescriptionThis study developed learning materials for introductory computer programming from the viewpoint of gender and field inclusion. Subjects often used as learning materials for programming, like robotics and electronics, do not engage female students and students studying the humanities. We have considered the strategy of gender-inclusive and field-inclusive programming education, with a focus on data visualization. Finding interesting data and expressing it in an informative way using programming would enhance learners’ motivation regardless of their major. We have developed an original library (Datamate.js) for data visualization, web content for classroom instruction and self-study, and a layout tool for publishing data visualization results on a web page. In this paper, we report on the library and the tool we developed, as well as our classroom practices at an art university.