EdTech Review has published an article by Dmitry Butalov, Head of EdTech at DataArt, in which he calls for a shift toward data-rich, AI-driven personalization that could completely change how educational content is delivered and experienced.
“While Netflix, TikTok, and Spotify serve up hyper-personalized content that keeps users hooked for hours, most learning platforms still use data standards from the early 2000s. The reality is this: education isn’t competing against other educational platforms. It’s competing against every other form of content – YouTube, Instagram, gaming, endless-scrolling dopamine hits – and right now, it’s losing.”
“One of the biggest failures of EdTech is its inability to integrate learning data with everything we know about users. Education doesn’t happen in isolation – it’s connected to career goals, job performance, and even daily habits. Yet, most EdTech systems don’t even attempt to tap into this broader information ecosystem.”
“What if we had AI-driven course co-pilots that analyzed real learner behavior and provided actionable insights? If we’re serious about using data in education, we must treat content like a living, evolving product.”
“In the modern world, a course must become a self-evolving system powered by complex, real-time data analytics. This doesn’t mean blind algorithmic changes but a transparent, curated approach with traceable reasons for modifications. Course evolution should maintain human oversight while leveraging advanced technological capabilities.”
“EdTech is at a crossroads. Platforms can either continue using outdated tracking methods and rigid course structures or embrace real-time, AI-driven, data-powered personalization that competes with modern digital experiences.”
Read the full article here.
