Technology in service of human relationships
Technology is reshaping learning, but the most profound shifts are human. For all the attention AI receives, for its speed, its precision, its capacity to reveal patterns, its most important contribution is relational, making visible what has always been true: that learning is deeply human, variable, and shaped by the conditions in which it unfolds. Technology does not replace the human dimensions of learning. Instead, it illuminates them, and in doing so it calls educators to a different kind of work.
For decades, educational technology promised efficiency. It offered faster grading, automated practice, and digital content delivery. These tools were designed to streamline the mechanics of schooling, not to deepen the experience of learning. They treated learning as a transaction: input, output, repeat. But the new generation of AI‑enabled and immersive tools operates differently, revealing patterns that had until now existed beyond the limits of our perception.
Technology as a partner in education
I saw this shift firsthand while working with the CK-12 Foundation. As we developed a certificate for their platform, we dug into the data it captures on individual learners. Looking at this data, you can identify where engagement is taking hold, what questions students are asking, where the misconceptions are, and on and on. Amazing! It struck me that this ability to see how learning unfolds reframes the purpose of technology and reinforces how teachers can and should remain in control. Technology becomes a mirror, reflecting the cognitive and emotional landscapes of learners. It becomes a lens, bringing into focus the subtle dynamics that shape understanding. It becomes a partner, offering evidence that educators can interpret. In this way, technology serves not just as a driver of learning, but as a catalyst for deeper human connection.
When educators can see how a learner approaches a problem where they hesitate, where they persist, where they take risks, they can respond with empathy and precision. They can design experiences that honor the learner’s developmental trajectory. They can support identity formation by recognizing strengths, passions and ideas that might otherwise go unnoticed. They can build trust by acknowledging the vulnerability inherent in learning and support the struggle with compassion and empathy. Finally, educators can differentiate like never before.
But this requires a shift in mindset. Technology cannot be treated as a neutral tool. It carries assumptions, biases, and limitations. It can amplify inequities if used without care. It can narrow learning if treated as an evaluator rather than a partner. It can overwhelm educators if introduced without structures that support interpretation and collaboration. The question is not whether technology is good or bad. It is whether we use it in ways that honor human dignity and promote human flourishing.
Technology and the science of learning and development
To do this, educators must understand both what technology reveals and what it cannot. AI can show patterns in reasoning, but it can’t understand the cultural or emotional context behind those patterns. It can identify misconceptions, but it can’t know why a learner holds them. It can track engagement, but it can’t interpret the meaning of disengagement. It can generate feedback, but it can’t build the trust required for that feedback to matter. These are human responsibilities.
This is why the integration of technology must be grounded in the science of learning and development. Human development research shows that learning is relational, contextual, and identity‑driven. It shows that emotions shape cognition, that belonging shapes engagement, and that culture shapes meaning. Technology must be used in ways that support these truths, not override them. It must be designed and implemented with an understanding of how humans grow.
Aligning technology with human development
Human development research reveals how deeply intertwined learning is with student experience and identity. The development of neural networks in the brain is vital to the development of skills such as self-regulation and other cognitive processes. What a student feels or perceives very much affects their capacity to be present and engaged with learning. Technology can help educators take that a step further by helping educators personalize learning without isolating learners and while freeing educators from routine tasks so they can focus on relationships, interpretation, and design.
But this alignment does not happen automatically. It requires intentional design. It requires educators who are literate in both AI and human development. It requires teams who can interpret data together, who can make ethical decisions together, and who can design learning experiences that respond to what technology reveals. It requires leaders who understand that technology is not a solution but a tool, one that must be integrated into a broader vision of learning.
Most importantly, it requires preparation programs that model this integration. Candidates must learn to use technology not as a shortcut, but as a window into learning.They must learn to ask ethical questions: What does this data show? What does it obscure? How might it be misinterpreted? How do we ensure that visibility does not become surveillance? How do we protect learners’ dignity?
Technology, when used in service of building human relationships, is about deepening the relational work at the heart of teaching and expanding the educators’ capacity to support learners. The future of education is not about choosing between humans and machines. It is about designing ecosystems where technology amplifies humanity.