App Planner: Utilizing Generative AI in K-12 Mobile App Development Education
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866914773122154496 |
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| author | Kim, David Ravi, Prerna Williams, Randi Yoo, Daeun |
| author_facet | Kim, David Ravi, Prerna Williams, Randi Yoo, Daeun |
| contents | App Planner is an interactive support tool for K-12 students, designed to assist in creating mobile applications. By utilizing generative AI, App Planner helps students articulate the problem and solution through guided conversations via a chat-based interface. It assists them in brainstorming and formulating new ideas for applications, provides feedback on those ideas, and stimulates creative thinking. Here we report usability tests from our preliminary study with high-school students who appreciated App Planner for aiding the app design process and providing new viewpoints on human aspects especially the potential negative impact of their creation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_15182 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | App Planner: Utilizing Generative AI in K-12 Mobile App Development Education Kim, David Ravi, Prerna Williams, Randi Yoo, Daeun Human-Computer Interaction App Planner is an interactive support tool for K-12 students, designed to assist in creating mobile applications. By utilizing generative AI, App Planner helps students articulate the problem and solution through guided conversations via a chat-based interface. It assists them in brainstorming and formulating new ideas for applications, provides feedback on those ideas, and stimulates creative thinking. Here we report usability tests from our preliminary study with high-school students who appreciated App Planner for aiding the app design process and providing new viewpoints on human aspects especially the potential negative impact of their creation. |
| title | App Planner: Utilizing Generative AI in K-12 Mobile App Development Education |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2401.15182 |