1. Development of Online Learning Material for Data Science Programming Using 3D Puzzle
- Author
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Nobuhiro Oishi, Akio Ishida, Naoki Yamamoto, Jun Murakami, and Kazuki Ogitsuka
- Subjects
050101 languages & linguistics ,Development (topology) ,Computer science ,Online learning ,05 social sciences ,ComputingMilieux_COMPUTERSANDEDUCATION ,050301 education ,0501 psychology and cognitive sciences ,0503 education ,Data science ,Computer Science Applications ,Education - Abstract
In multidimensional data processing, one of the important data structures is a higher-order tensor or a multidimensional array. In general, the processing related to the higher-order tensor is so complicated that we have been developing understanding support tools for it using 3D puzzles from the viewpoint of making students interested. However, although these tools have been tried by students in graduation studies and other some occasions, their introduction into lectures was one issue. Therefore, in this study, we developed a new programming exercise material for the higher-order tensor, which is supposed to be used in data science subjects, by using a 3D puzzle. This learning material is also composed of Microsoft Teams, and students can access the material remotely to learn programming. In this paper, several students actually tried this material. As a result, it was found that the students themselves could create and submit assignment reports by viewing explanatory videos and performing exercises. From this, it is expected that this material will be able to introduce to data science courses, including online use.
- Published
- 2021
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