Core Framework

Intentional Use of AI (Education) is a pedagogical strategy articulated by educator Steve Hargadon that emphasizes deliberate integration of artificial intelligence tools to develop students' analytical capabilities. This approach contrasts sharply with what Hargadon terms "thought-less promotion and hidden use of AI," where students use AI surreptitiously to generate essays and homework without engaging with ideas, ultimately weakening their critical thinking abilities.

The framework centers on using AI "as a research assistant and thought partner" while students learn to ask better questions and develop their own analytical skills, rather than simply seeking quick answers that bypass the thinking process entirely.

The Amish Test Framework

Drawing on Kevin Kelly's work and popularized by thinkers like Cal Newport and David Griesing, Hargadon applies what he calls "The Amish Test" to educational technology decisions. This framework asks a fundamental question: "Does the use of technology align with our values, and will it help accomplish our long-term goals?"

The Amish Test isn't about rejecting technology but about deliberate choice. As Hargadon explains, Amish communities carefully evaluate new tools by asking whether they strengthen or weaken community bonds, self-reliance, and spiritual growth, adopting what serves their values while rejecting what doesn't. Education, Hargadon argues, desperately needs this same intentionality.

Generative Teaching Approach

Hargadon incorporates Erik Erikson's concept of generativity—the concern for nurturing the next generation—into what he calls "Generative Teaching." This approach means envisioning the 30-year-old adult educators hope to nurture and working backward to design learning experiences that build those qualities.

This framework transforms evaluation criteria for AI tools. Instead of asking "Will this make teaching easier?" or "Does this improve test scores?", generative teaching asks: "Will this help students become more creative, self-directed, and capable of independent thought?" and "Does this foster the character traits and thinking skills our students will need as adults?"

Implementation Strategy

Hargadon outlines a four-step process for applying intentional AI use:

Define Your Vision: Start with clarity about the adult you want to nurture, identifying essential character traits like independence, creativity, critical thinking, and empathy.

Evaluate Each Tool: For every AI application, assess whether it strengthens or weakens deep learning, encourages students to think harder or avoid thinking altogether, and helps students become more self-directed over time.

Model Intentional Use: Demonstrate thoughtful technology choices and discuss reasoning openly, recognizing that students learn more from actions than words.

Teach the Framework: Help students apply their own Amish Test to AI tools, developing metacognitive skills—thinking about how they think and learn.

Educational Context and Concerns

Hargadon situates this approach within broader critiques of traditional schooling systems. He argues that conventional education, despite promises of liberating young minds, "has always excelled more at training compliance than fostering independent thinking" and is largely designed to create standardized workers rather than creative thinkers.

Without intentional implementation, Hargadon warns that AI adoption in education risks amplifying these existing flaws, potentially producing students who are even less self-directed and capable. He describes AI tools as potentially being like "junk food that tastes good but harms our health"—offering immediate gratification while undermining long-term development.

Philosophical Foundation

The approach is grounded in a fundamental question commonly used in parenting classes: "What kind of person do you want your child to be at age 30?" This long-term perspective helps educators escape immediate practical concerns and focus on deeper educational purposes and aspirational goals for students.

Hargadon emphasizes that this framework requires educators and parents to become familiar with AI tools while thinking more deeply about education's fundamental nature. The goal is transforming AI "from a potential crutch into a catalyst for growth," where students learn to direct technology rather than be directed by it, developing discernment to ask: "How can I use this tool to become a better thinker, not just get faster answers?"

The ultimate aim is preparing students not just for future employment, but for "lives of meaning and agency" as adults who can think clearly, act independently, and adapt creatively in an AI-driven world.