Generativity, as defined by psychoanalyst Erik Erikson, represents a foundational concept in understanding human development and its application to educational philosophy. Erikson first coined the term generativity in 1950 to denote "a concern for establishing and guiding the next generation," introducing it while defining what he considered the final stage of psychosocial development, known as the Care Stage.

Erikson's Original Framework

According to Hargadon's interpretation of Erikson's work, generativity describes one of two pathways available during the middle ages of life, specifically from ages 45 through 64. Erikson defined generativity as the "ability to transcend personal interests to provide care and concern for younger and older generations." This concept stands in direct contrast to stagnation, representing the alternative developmental path during this life stage.

In Erikson's theoretical framework, generativity manifests through people contributing to the next generation through caring, teaching, and engaging in creative work which contributes to society. This definition emphasizes the movement beyond self-centered concerns toward a broader societal and intergenerational focus.

Contemporary Applications and Linguistic Coincidence

Hargadon identifies a "fascinating coincidence of language" in contemporary discourse around artificial intelligence. The term generative has gained renewed prominence through Generative AI and GPT (generative pre-trained transformer) technology. Jonathan Zittrain adopted the term generativity in 2006 in a technological context, referring to "the ability of a technology platform or technology ecosystem to create, generate or produce new output, structure, or behavior without input from the originator of the system."

This modern usage, while "only tangentially related" to Erikson's original psychological concept, creates what Hargadon describes as an opportunity to reconnect with the deeper developmental meaning of the term.

Connection to Intergenerational Thinking

Hargadon draws parallels between Erikson's generativity and The Seventh Generation Principle, a philosophy originating from the Iroquois Confederacy in the late 1800s. This principle "encourages people to consider the impact of their actions on the next seven generations, roughly 150 years into the future" with "the goal to ensure a sustainable world by making decisions in the present that benefit future generations."

This connection reinforces the intergenerational aspect of Erikson's concept, extending the caring concern beyond immediate successors to a much longer temporal horizon.

Generative Teaching Framework

Building on Erikson's foundation, Hargadon proposes that "the answer to the problem or challenge of generative AI in education is generative teaching." This application involves "remembering the better angels of our education nature and thinking about how to integrate the intellectual challenges and opportunities of AI for personal education stimulation and growth in education rather than to try and guard and protect from it."

The generative teaching approach emphasizes helping students become self-directing through familiarity and understanding of technology. Hargadon advocates for thinking "generatively about the use of AI in education" by focusing on how educators can "help students understand and use these amazing new tools in a way that lights the fires of their intellectual curiosity and growth, rather than just filling the pails through traditional instruction and assessment."

Educational Philosophy and the Paradox of Education

Within Hargadon's broader educational framework, generativity addresses what he terms "the Paradox of Education"

• the tension between individual-centered education that fosters independence and institutional-centered education focused on systematic control. Generative approaches align with the individual-centered side, emphasizing the development of critical thinking, creativity, and independence while recognizing that "the ultimate goal is for the learner to be increasingly in charge of their own learning."

Responsibilities and Implementation

The generative teaching model places significant responsibility on educators, requiring that "we have to become capable enough ourselves with an understanding AI in order to manage the process." Hargadon emphasizes that "as with all real endeavors to help others, we realize it's more about who we are in the process than anything else."

This approach connects to a broader understanding of generativity as fundamentally about passing down knowledge and capacity — not for personal gain but for the benefit of those coming after us, reflecting the traditional wisdom that "societies flourish when the older generations plant trees whose shade they'll never enjoy."

Contemporary Relevance

In the context of modern technological challenges, particularly what Hargadon terms "the calculator effect" where technology use can diminish fundamental cognitive abilities, generative approaches become "not just important but essential — crucial, even." The concept provides a framework for ensuring that "education should be 'generative'" in helping future generations develop the capacity to think independently and engage meaningfully with rapidly advancing technologies.

Hargadon frames this as particularly urgent given the potential for AI to create similar intellectual dependencies as calculators created mathematical dependencies, emphasizing that "it's incumbent upon those of us old enough to grasp" these skills "to cultivate reasoning minds that can communicate clearly with others."