Forecasts are claims, not facts
Every few years a new technology is said to be about to remake education. Some of these claims later look sensible, some look foolish, and many turn out to be partly right in unexpected ways. Instead of adding another forecast, this article looks at how to judge education forecasts, using earlier waves as practice material.
What earlier predictions looked like
Film. In the early twentieth century, motion pictures were widely expected to change classrooms. A remark often attributed to the inventor Thomas Edison in the 1910s held that books would soon be obsolete in schools. Whether or not the exact wording is reliable, the sentiment was common. Films did become a regular classroom tool, but they supplemented teachers and textbooks rather than replacing them.
Radio and television. Broadcasting prompted similar hopes that lessons from skilled presenters could reach every school. Educational broadcasting did find an audience, and it supported distance and adult education in various countries. It did not make the classroom teacher redundant. Broadcast lessons could not respond to an individual child’s confusion.
Teaching machines and programmed instruction. In the mid-twentieth century, psychologists such as B. F. Skinner promoted machines that presented small steps and gave immediate feedback. The ideas, breaking material into steps and responding quickly to answers, resurfaced decades later in adaptive algorithms and online quizzes. The hardware faded; the principles did not.
Open universities and distance study. The founding of institutions built around distance learning in the 1960s and 1970s, such as the UK’s Open University in 1969, was a real change in who could study. It happened over years and took heavy investment in tutoring and support, not just delivery of materials.
MOOCs. In 2012 the press described a “year of the MOOC”, and commentators suggested large parts of higher education might be displaced. Enrollments were large and the reach was real. Yet completion rates in free, self-paced courses were commonly low, and traditional universities continued. What persisted were the underlying ideas: free access to course content, short video lessons, and the principle of open licensing.
Pandemic-era remote teaching. In 2020, many schools and colleges moved online within weeks. This was not a forecast coming true so much as a forced experiment, and it was an emergency arrangement rather than a planned online course. People drew opposite conclusions from it, which shows how much interpretation shapes the story.
Patterns across these examples
Looking across the cases, several regularities appear. These are tendencies, not laws.
- Access arrives faster than transformation. New media usually extend who can reach learning before they change how teaching is done.
- The tool is rarely the whole story. Results depend on teacher skill, learner motivation, support and design. A good course on a modest platform often beats a poor course on an impressive one.
- Old forms persist. Lectures, textbooks and classrooms have outlasted several predictions of their end, often by absorbing the new tool.
- Costs and incentives get underestimated. Producing good materials, supporting learners and maintaining systems all take sustained effort, and someone has to pay.
- Surprises come from the side. Few forecasters in 2005 would have described the exact mix of video lessons, mobile phones and open textbooks that later became familiar.
Questions to ask of a new forecast
Who is speaking, and what do they gain? Vendors, investors and consultants may sincerely believe their claims, but they have a stake. That does not make them wrong; it means the claim needs independent support.
Is it falsifiable? “Education will be transformed” cannot be checked. “Enrollment in a specific type of program will exceed a given share by a given year” can. Vague forecasts can never fail, which is not a virtue.
What is the evidence? Does it rely on a single pilot, a demonstration, or a broader record? A pilot with enthusiastic volunteers tells you little about ordinary use.
Does it consider barriers? A credible forecast mentions cost, teacher workload, access to devices and connectivity, and learner support. If a prediction assumes everyone has a fast connection and plenty of time, it describes a narrower world than the real one.
Does it distinguish “could” from “will”? Possibility is cheap. Many technologies could, in theory, change schooling. The useful question is what makes it likely, and for whom.
What would change the author’s mind? Honest forecasters can say what evidence would count against them.
Reading the record fairly
It would be unfair to treat all forecasts as foolish. Some broad expectations held up: that digital delivery would make learning cheaper to distribute, that people would increasingly study alongside work, and that open licensing would let materials be reused. These were directional claims that avoided a precise schedule. The ones that failed tended to be claims of replacement, of one thing sweeping away another, delivered with confidence about timing.
A practical stance
For a reader, the most helpful habit is probably to hold forecasts as scenarios rather than schedules. Ask what would have to be true for the prediction to happen, check whether those conditions exist, and notice that the evidence on teaching methods is mixed. When you meet a confident claim, look for the track record behind it, and be especially cautious about any prediction that promises effects on grades, jobs or income. Future outcomes remain uncertain, and that is not a failure of analysis but an honest description of the subject.