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Integrating language-based AI across the curriculum to create diverse pathways to AI-rich careers
This three-year Developing and Testing Innovations project aims to support high school students to develop foundational knowledge in Artificial Intelligence (AI) and interest in AI-rich careers. Luckily AI is a highly interdisciplinary field and AI education can happen in a variety of settings. This project aims to integrate foundational AI education into disciplinary studies to reach students most underrepresented and underserved in the field. The project has the following objectives: (1) Refine two apps, the StoryQ app developed for students in grades 6-12 to learn machine learning with unstructured text data without coding, and Markov Chain modeling app to visually explain generative AI, and embed these into our curriculum. (2) Building on prior work, develop and test a set of culturally relevant curriculum modules for math (5 hours), ELA (5 hours), history (5 hours), plus an introductory module (2 hours). (3) Work with SJCOE, MCCE, school administrators, and teachers to co-develop and test a 60-hour professional development program to implement the curriculum modules. (4) Explore research questions to advance our knowledge of student learning and career interest development as well as teacher community formation in the AI domain. (5) Evaluate the project’s success via a group of external Advisory Board members. (6) Strategically and broadly disseminate project materials to the field.
Pillar 1: Innovative Use of Technologies in Learning and Teaching
The project is refining the StoryQ app and developing a Markov Chain model app to help students visualize text classification and text generation AI models. The use of these models is integrated into secondary disciplinary courses for maximum access and relatability.
Pillar 2: Partnerships for Career and Workforce Preparation.
By leveraging the intrinsic connections between AI and disciplines already taught in schools, the project envisions a series of learning opportunities, presenting discipline-specific scenarios for students to dive deep into aspects of AI and to develop awareness and interest in various AI applications and careers.
Pillar 3: Strategies for Equity in STEM Education
This project will create an effective, scalable, and sustainable exemplary program for high school students, especially those underrepresented and underserved in the field of AI, to develop foundational knowledge of AI and interest in AI-rich careers.
Discipline(s)
Computer and informational technology science
Data Science
Emerging Tech (Artificial Intelligence, Quantum Computing, and Blockchain)
Interdisciplinary
Mathematical sciences
Other
Target Gradespan(s)
High school (9-12)
Target Participant(s)
Youth / students
Educators
Black/African American participants
Hispanic/Latino participants
Students eligible for free lunch or reduced-price lunch
Project Setting(s)
Formal Education
Category
Developing and Testing Innovations (DTI)