Teachers across the United States are currently educating students who will likely live into the 22nd century. More than a quarter of the way through the 21st century, however, we haven’t yet mastered teaching the skills needed for success in this one. We need to reframe our focus and develop a new sense of urgency. As artificial intelligence accelerates and globalization reshapes how societies relate to one another, we must envision how to prepare students to thrive in the AI-driven, interconnected world they will inherit tomorrow.
The 4Cs + 1
Traditionally, educators have framed their work around the 4Cs—communication, critical thinking, collaboration, and creativity—a structure that has empowered students to navigate the complexities of modern existence. Industry leaders consistently affirm that individuals who think critically and creatively, collaborate effectively, and communicate clearly are among the workforce’s most valuable assets. However, as we confront the prospect of human beings partnering with increasingly sophisticated machines, we believe that teaching the timeless 4Cs is just not enough. Something is missing—and that’s cognition.
By cognition, we mean more than the ability to think about the matter at hand. We mean being able to think about one’s own thinking—to notice assumptions, examine reasoning, reconsider conclusions, and adjust in the moment. In a world increasingly shaped by AI, this fifth C may be what most clearly distinguishes human learners from the technologies they use.
Students will need to think in ways that distinguish them from technology.
Capitalizing on the Human
Most educators already recognize the importance of teaching students about AI’s capabilities, limitations, and implications. They understand the necessity of helping students use digital tools responsibly and with fidelity. But preparing students for a world in which humans and machines will intersect in unprecedented ways requires something more. Students will need to think in ways that distinguish them from technology.
In this emerging world, students and technology will be partners. According to Troy Collier, an expert in collaboration and workforce development, the most productive partnerships form when individuals realize both their strengths and needs and capitalize on them for collective success. Partnerships enable humans to accomplish far more together than they ever could alone, and partnering with technology should yield the same results—if humans first understand what they bring to the partnership that machines cannot: uniquely human skills.
Even though technology cannot “think” in the traditional sense, AI can synthesize information, generate ideas, respond to prompts, and support collaborative work; it can answer questions and suggest solutions to problems. What it cannot do is pause with self-awareness and ask, Why did I think that? What shaped my response? What am I missing?
Technology cannot ask, 'Why did I think that? What shaped my response? What am I missing?'
Cognition: How We Learn It
In the classroom, we see cognition at work when we ask students to not only produce an answer, but also examine how they arrived at it. For example, a student writing about how patterns of human behavior repeat throughout history might use AI to generate a list of topics illustrating the point. However, the student would then need to cross-reference the AI-produced list with the information and concepts learned during class to identify a topic worth exploring. With every idea AI generates comes the opportunity to connect with a digital thought partner, which can help a student shape and communicate new perspectives.
Similarly, a group of students designing a solution to a local problem might use AI to generate possibilities. Cognition then helps them question the assumptions behind those possibilities, recognize gaps, and decide what is most appropriate for their community. For instance, AI’s list of potential solutions may not include insights about available community resources that people could use to solve the problem. In this case, the group would need to refine the prompt and continue investigating with the more practical aspects of problem solving in mind. In this way, cognition invites metacognition: reflecting, evaluating, reimagining, and redirecting in the moment.
Cognition enables individuals to draw on memories, lived experiences, emotions, and intuitive judgments to make informed decisions. Although scientists often describe the brain as a computer to help conceptualize information processing, a computer cannot think, feel, or self-evaluate. Humans can, but meaningfully examining those processes requires metacognitive awareness.
Teaching cognition is essential to enable students to collaborate with intelligent technologies that will increasingly function as thought partners.
Cognition: How We Teach It
Teaching cognition is essential to enable students to collaborate not just with one another, but also with intelligent technologies that will increasingly function as thought partners. Students need to develop a sense of purpose, understand their role in a society perpetually in flux, and navigate a future in which human intelligence and artificial intelligence work in tandem. Educators can teach cognition through modeling and think alouds; they can also have students reflect on assignments or lessons by asking them to consider such questions as, “What roadblocks did I need to overcome along the way?” or “How did I work through challenges?” Questions like these help students understand their own thought processes. When students are able to assess their thinking patterns over time, they are better positioned to uncover their strengths and needs, leading to greater learner autonomy.
The Future Is Almost Now
The 22nd century is closer than we think. Our students will help shape the future if they know how to think deeply, reflect actively, and partner wisely with the technologies of tomorrow, which we’re already seeing glimpses of today.
