MindScratch: A Visual Programming Support Tool for Classroom Learning Based on Multimodal Generative AI
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866915061010792448 |
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| author | Chen, Yunnong Xiao, Shuhong Song, Yaxuan Li, Zejian Sun, Lingyun Chen, Liuqing |
| author_facet | Chen, Yunnong Xiao, Shuhong Song, Yaxuan Li, Zejian Sun, Lingyun Chen, Liuqing |
| contents | Programming has become an essential component of K-12 education and serves as a pathway for developing computational thinking skills. Given the complexity of programming and the advanced skills it requires, previous research has introduced user-friendly tools to support young learners. However, our interviews with six programming educators revealed that current tools often fail to reflect classroom learning objectives, offer flexible, high-quality guidance, and foster student creativity. This highlights the need for more adaptive and reflective tools. Therefore, we introduced MindScratch, a multimodal generative AI (GAI) powered visual programming support tool. MindScratch aims to balance structured classroom activities with free programming creation, supporting students in completing creative programming projects based on teacher-set learning objectives while also providing programming scaffolding. Our user study results indicate that, compared to the baseline, MindScratch more effectively helps students achieve high-quality projects aligned with learning objectives. It also enhances students' computational thinking skills and creative thinking. Overall, we believe that GAI-driven educational tools like MindScratch offer students a focused and engaging learning experience. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_09001 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | MindScratch: A Visual Programming Support Tool for Classroom Learning Based on Multimodal Generative AI Chen, Yunnong Xiao, Shuhong Song, Yaxuan Li, Zejian Sun, Lingyun Chen, Liuqing Human-Computer Interaction Programming has become an essential component of K-12 education and serves as a pathway for developing computational thinking skills. Given the complexity of programming and the advanced skills it requires, previous research has introduced user-friendly tools to support young learners. However, our interviews with six programming educators revealed that current tools often fail to reflect classroom learning objectives, offer flexible, high-quality guidance, and foster student creativity. This highlights the need for more adaptive and reflective tools. Therefore, we introduced MindScratch, a multimodal generative AI (GAI) powered visual programming support tool. MindScratch aims to balance structured classroom activities with free programming creation, supporting students in completing creative programming projects based on teacher-set learning objectives while also providing programming scaffolding. Our user study results indicate that, compared to the baseline, MindScratch more effectively helps students achieve high-quality projects aligned with learning objectives. It also enhances students' computational thinking skills and creative thinking. Overall, we believe that GAI-driven educational tools like MindScratch offer students a focused and engaging learning experience. |
| title | MindScratch: A Visual Programming Support Tool for Classroom Learning Based on Multimodal Generative AI |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2412.09001 |