2000 character limit reached
App Planner: Utilizing Generative AI in K-12 Mobile App Development Education
Published 26 Jan 2024 in cs.HC | (2401.15182v3)
Abstract: 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.
- Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023).
- Social robots as creativity eliciting agents. Frontiers in Robotics and AI 8 (2021), 673730.
- Tim Brown and Jocelyn Wyatt. 2010. Design Thinking for Social Innovation. https://api.semanticscholar.org/CorpusID:6740624
- An integrated critical thinking framework for the 21st century. Thinking Skills and Creativity 12 (2014), 43–52. https://api.semanticscholar.org/CorpusID:145570310
- What Do We Teach When We Teach Tech Ethics? A Syllabi Analysis. In Proceedings of the 51st ACM Technical Symposium on Computer Science Education (Portland, OR, USA) (SIGCSE ’20). Association for Computing Machinery, New York, NY, USA, 289–295. https://doi.org/10.1145/3328778.3366825
- Ts St Georgiev. 2019. Students’ viewpoint about using MIT app inventor in education. In 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 611–616.
- Can children catch curiosity from a social robot?. In Proceedings of the tenth annual ACM/IEEE international conference on human-robot interaction. 91–98.
- AI-Augmented Feature to Edit and Design Mobile Applications. In Proceedings of the 25th International Conference on Mobile Human-Computer Interaction. 1–5.
- A survey on large language models: Applications, challenges, limitations, and practical usage. Authorea Preprints (2023).
- Rex E Jung. 2014. Evolution, creativity, intelligence, and madness:“Here Be Dragons”. , 784 pages.
- Human creativity can be facilitated through interacting with a social robot. In 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 173–180.
- David YJ Kim. 2023. Redefining Computer Science Education: Code-Centric to Natural Language Programming with AI-Based No-Code Platforms. arXiv preprint arXiv:2308.13539 (2023).
- Speak your mind: Introducing aptly, the software platform that turns ideas into working apps. In ICERI2022 Proceedings. IATED, 1653–1660.
- Bertalan Meskó and Eric J Topol. 2023. The imperative for regulatory oversight of large language models (or generative AI) in healthcare. NPJ digital medicine 6, 1 (2023), 120.
- Sergio Barrachina Mir and Germán Fabregat Llueca. 2020. Introduction to programming using mobile phones and MIT app inventor. IEEE Revista Iberoamericana de Tecnologías del Aprendizaje 15, 3 (2020), 192–201.
- An autonomous educational mobile robot mediator. Autonomous Robots 25 (2008), 367–382.
- Dr. Scratch: Automatic analysis of scratch projects to assess and foster computational thinking. RED. Revista de Educación a Distancia 46 (2015), 1–23.
- Ninja code village for scratch: Function samples/function analyser and automatic assessment of computational thinking concepts. In 2016 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 238–239.
- THE EFFECT OF THE COMPUTATIONAL ACTION PROCESS ON STUDENTS’SOFTWARE PROTOTYPE IDEAS. In ICERI2022 Proceedings. IATED, 1804–1814.
- Telling stories to robots: The effect of backchanneling on a child’s storytelling. In Proceedings of the 2017 ACM/IEEE international conference on human-robot interaction. 100–108.
- MIT app inventor: Objectives, design, and development. Computational thinking education (2019), 31–49.
- Katerina Perdikuri. 2014. Students’ Experiences from the use of MIT App Inventor in classroom. In Proceedings of the 18th Panhellenic conference on informatics. 1–6.
- From computational thinking to computational action. Commun. ACM 62, 3 (2019), 34–36.
- Attention is all you need. Advances in neural information processing systems 30 (2017).
- CodeMaster–Automatic Assessment and Grading of App Inventor and Snap! Programs. Informatics in Education 17, 1 (2018), 117–150.
- Randi Williams. 2022. Constructionism, Ethics, and Creativity: Developing Tools for the Future of Education with AI. In 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC). IEEE, 1–3.
- Jeannette M. Wing. 2006. Computational Thinking. Commun. ACM 49, 3 (mar 2006), 33–35. https://doi.org/10.1145/1118178.1118215
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.