Teaching Tech to Talk: K-12 Conversational Artificial Intelligence Literacy Curriculum and Development Tools
Project Overview
The document examines the integration of generative AI in K-12 education through the development and assessment of a curriculum aimed at teaching students about AI and conversational agents, utilizing tools such as MIT App Inventor. It underscores the significance of fostering AI literacy among students, while addressing the challenges of effectively conveying AI ethics and machine learning concepts. The findings reveal that hands-on, interactive learning experiences are particularly effective in engaging students and enhancing their understanding of complex AI topics. Moreover, the study emphasizes the vital role of collaboration between educators and students in refining AI education, ultimately aiming to equip the next generation with essential skills in an increasingly AI-driven world.
Key Applications
Conversational Agent Interface for MIT App Inventor
Context: K-12 education, targeting students in grades 8-12 with little-to-no programming experience.
Implementation: Five-day remote workshop series conducted over Zoom, incorporating hands-on tutorials and assessments focusing on AI competencies.
Outcomes: Students demonstrated improved understanding of AI competencies, engagement in coding activities, and the ability to create functional conversational agents.
Challenges: Students struggled with concepts of AI ethics and machine learning, indicating a need for more focused teaching on these topics.
Implementation Barriers
Educational
Students found it challenging to grasp complex concepts of AI ethics and machine learning.
Proposed Solutions: Future workshops should emphasize these topics more and leverage design considerations to enhance engagement.
Technical
Technical issues arose during the workshops, such as trouble with the app emulator and the initial setup.
Proposed Solutions: Provide clearer instructions and troubleshooting steps to assist students in overcoming technical difficulties.
Project Team
Jessica Van Brummelen
Researcher
Tommy Heng
Researcher
Viktoriya Tabunshchyk
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Jessica Van Brummelen, Tommy Heng, Viktoriya Tabunshchyk
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