By Julie Flapan, EdSource
For school leaders, artificial intelligence (AI) might feel like the latest shiny new thing to tackle in education.
With ethical questions to reflect on, it may be shiny, but computer science teachers will tell you it’s not new — it’s been part of computer science education for 60 years.
Computer science is foundational to learning about artificial intelligence, including thinking critically about AI’s ethics and impacts, data and algorithms, and equipping students to use technology responsibly. Like learning to drive a car, it’s good to know what’s under the hood, and be aware of the dangers, troubleshoot problems, know where you’re going and how to get there safely. If technology is driving the future, how can we prepare students to do the steering if they do not learn computer science in school?
Yet, only 5% of California students take computer science in high school, something we need urgent action to change.
A high-quality computer science education offers a new way of teaching in the currency students understand best: with their technological devices. Learning to think computationally — using algorithms to construct learning — can be a tool for engaging students to think critically about technology’s influence in making meaning of their world. Whether we like it or not, the choice facing us now is: either we teach students how to use technology safely and be justice-minded creators of it, or risk students’ harm of getting used and manipulated by it.
Despite widespread use of technology, school leaders are overwhelmed with decisions about teaching with AI tools and teaching about artificial intelligence in the classroom. Research conducted by the UCLA Computer Science Equity Project affirms that administrators struggle to juggle their overflowing plate of responsibilities. But instead of seeing AI as yet another thing to fit into the school schedule — one of the main reasons more schools aren’t offering computer science — understanding how it’s part of a high-quality computer science education can help expand access to this foundational learning.
California’s computer science (CS) strategic implementation plan serves as a road map to realizing the state’s vision that all schools offer computer science education and all teachers are prepared to teach it. To make good on that plan, the Legislature funded the Educator Workforce Investment Grant, to provide professional learning in computer science for thousands of California’s educators. This comprehensive model of professional development, Seasons of CS, equips educators with knowledge and skills to engage students with culturally responsive curriculum and pedagogy aligned with the state’s computer science standards (which classifies AI as a sub-discipline of computer science).