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After six decades of dreaming and experimenting, we might be on the cusp of a technology-enabled revolution in education. The Arizona State Board for Charter Schools recently approved the application by Unbound Academy for a new online school that will replace traditional teachers with AI teaching assistants, promising to deliver 2.4 times the academic growth for students compared to results from conventional schools.
This advance is not the result of another incremental tech experiment — instead, it represents the latest chapter in a 60-year quest in computer assisted instruction (CAI) to transform education through technology. This time, the evidence suggests a true breakthrough might be near. If this Academy and similar initiatives are successful, it will mark the fulfillment of a long-held dream.
The idea of using computers to assist student learning dates to the 1950s, with the first application —Programmed Logic for Automatic Teaching Operations (PLATO) — appearing in 1961. PLATO offered interactive lessons and real-time feedback using terminals connected by telephone lines to a time-share computer system. Like other time-share systems, PLATO ultimately failed due to the high expenses required.
Other attempts at immersive, experimental learning famously included Second Life — a virtual world accessible through the Internet where people participated as avatars — in the early 2000s. Although not explicitly a CAI tool, Second Life demonstrated the potential for immersive virtual learning environments. At one point at least 300 universities around the world including Stanford and Harvard taught courses or conducted research on the platform. Ultimately, Second Life struggled due to a poor user interface (UI), robust technical requirements, a steep learning curve and an inability to scale.
The advent of generative AI in 2017 marked a turning point in CAI, with tools like Writable and Photomath enhancing both teaching and learning. Writable, for example, uses AI to provide feedback on student writing, helping teachers manage large workloads. As reported by Axios …