In our last few posts, we’ve explored technologies like AI and 5G that have already begun to reshape our world and used them as a lens to look at evidence-backed ways to optimize learning. Now, we'll look forward and discuss how cutting-edge advancements might transform the future of learning. This new series will explore the intersection of innovation and learning science, envisioning the possibilities while staying grounded in what we know works.
For at least a hundred years, educational technology has promised to revolutionize learning. We’ve covered some of these claims in relation to AI and tutoring, but other technologies have also promised big changes. For example, in 1923 Thomas Edison claimed that textbooks would soon be obsolete, because, as one reporter captured it, “85 percent of all knowledge is received through the eye and that motion pictures are 100 percent efficient for its dissemination.” As we’ve seen with other overhyped educational trends, such claims turn out to be misleading or flat-out wrong.
This may feel like a distant example, but consider the persistent myth of "learning styles," the idea that individuals learn best through their preferred sensory mode (visual, auditory, kinesthetic, etc.). Despite being debunked by research, this idea continues to influence the development of educational tools, many of which promote their ability to cater to different learning styles as a selling point. While people may indeed have preferences for certain modalities, research shows that using a mix of well-made materials is usually the most effective way to go.
These examples demonstrate that grand promises won’t be realized if they fail to align with how humans actually learn. While the modes of delivering education evolve rapidly, human cognition remains rooted in biology that hasn’t fundamentally changed over millennia. This doesn’t mean we should reject technological innovations—the key is discerning how these tools can improve instruction in ways that align with research. With that in mind, in the coming posts we’ll explore six areas where technology is set to reshape learning:
- The Evolution of hybrid learning: Moving beyond basic video conferencing, we'll explore how future hybrid models blend physical and digital spaces, creating more cohesive, interactive experiences.
- Personalized learning paths: While various kinds of tech-enabled personalized learning modes have been around for decades, new tools like AI could finally deliver the kinds of breakthroughs that have long been anticipated.
- Immersive learning with wearables: Augmented and virtual reality promise to create deeply immersive environments for skill acquisition. Devices like Apple Vision may redefine how we learn complex, hands-on skills in virtual spaces.
- Simulations and digital twins: In high-stakes professions like medicine and engineering, digital twins and simulations allow learners to practice and refine skills in virtual environments before applying them in the real world.
- Biometrics and neuroadaptive learning: Imagine learning environments that adjust in real time based on biometric data—such as stress, focus, or cognitive load. We’ll explore how neuroscience and real-time adaptation could shape personalized learning.
- Blockchain and future credentialing: How might blockchain transform the way we verify and share educational achievements? We’ll dive into the potential disruption of traditional credentialing systems and the rise of lifelong learning credentials.
Looking ahead, our approach will be one of informed optimism. New technologies are exciting to explore, but we’ll also make sure to address the question, “How does this innovation support what we know about effective learning?” It is important to stop and make sure we reflect, so we don’t just rush ahead into adopting the latest technologies without ensuring that they truly serve the needs of learners. While the promise of new tools can be alluring, significant improvements will only come from innovations that enhance learning by focusing on what matters most: fostering deeper understanding, encouraging more active engagement, and making education more accessible.
We stand at an exciting point, where the conditions make it possible to marry technological advancements with approaches that research has long shown to improve learning. In the coming posts, we’ll explore these possibilities, focusing on how to make this future a reality—one that’s grounded in innovation and evidence.
