App Planner: Utilizing Generative AI in K-12 Mobile App Development Education
Project Overview
The document explores the integration of generative AI in the educational tool App Planner, designed to support K-12 students in mobile app development. It highlights the significance of fostering computational thinking and addressing ethical considerations in technology creation. Through interactive dialogues with an AI chatbot, students are encouraged to articulate problems, brainstorm innovative ideas, and evaluate the societal implications of their designs. This approach not only enhances their design processes but also cultivates critical thinking skills, enabling students to engage deeply with the challenges of technology development. The findings suggest that the use of generative AI in education can significantly enrich the learning experience, encouraging students to think creatively and responsibly about their contributions to the tech landscape. Overall, the document presents generative AI as a powerful tool in education, facilitating meaningful engagement and skill development in the context of app development.
Key Applications
App Planner
Context: K-12 mobile app development education for high school students
Implementation: Students use a chat-based interface for guided conversations to define problems, ideate solutions, and consider ethical implications when developing mobile applications.
Outcomes: Students reported improved brainstorming, clearer articulation of ideas, and a deeper understanding of ethical considerations in app design.
Challenges: Limited by small sample size in usability testing, potential over-reliance on AI solutions, and the need for broader demographic studies.
Implementation Barriers
Technical
The potential for AI-generated solutions to become repetitive or generic, potentially stifling creativity.
Proposed Solutions: Longitudinal studies to assess the long-term impact of AI tools and refining the tool to support continuous creative growth.
Demographic
The small sample size of high school students limits the generalizability of findings.
Proposed Solutions: Future studies should involve a broader demographic, including middle school students.
Project Team
David Kim
Researcher
Prerna Ravi
Researcher
Randi Williams
Researcher
Daeun Yoo
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: David Kim, Prerna Ravi, Randi Williams, Daeun Yoo
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai