ActiveAI: Introducing AI Literacy for Middle School Learners with Goal-based Scenario Learning
This addresses AI education for grades 7-9 students, but it is incremental as it builds on existing frameworks and methods without introducing new paradigms.
The ActiveAI project tackled AI literacy for middle school students by developing an app using goal-based scenarios and real-world tasks like sentiment analysis, aiming to enhance engagement and understanding, but no concrete results or numbers were reported as it is still in implementation.
The ActiveAI project addresses key challenges in AI education for grades 7-9 students by providing an engaging AI literacy learning experience based on the AI4K12 knowledge framework. Utilizing learning science mechanisms such as goal-based scenarios, immediate feedback, project-based learning, and intelligent agents, the app incorporates a variety of learner inputs like sliders, steppers, and collectors to enhance understanding. In these courses, students work on real-world scenarios like analyzing sentiment in social media comments. This helps them learn to effectively engage with AI systems and develop their ability to evaluate AI-generated output. The Learning Engineering Process (LEP) guided the project's creation and data instrumentation, focusing on design and impact. The project is currently in the implementation stage, leveraging the intelligent tutor design principles for app development. The extended abstract presents the foundational design and development, with further evaluation and research to be conducted in the future.