The term “disruptive” always
sounded entirely negative to me until the concept of disruptive technology
gained currency.
When computers were first used in teaching and learning, no one described them as “disrupting” education; instead, they were seen as enhancing it. The same goes for the internet; rather than being seen as disruptive to education in the negative sense, it was viewed as a godsend. Controversy or debate surrounding the use of the internet in teaching and learning mostly revolved around reliability or recognition of completely online work. In fact, the term “disruptive technologies” was first used in a 1995 Harvard Business Review article, "Disruptive Technologies: Catching the Wave" by Clayton Christensen, who later expanded on the topic in the book The Innovator's Dilemma, published in 1997. He soon replaced the term “disruptive technology” with “disruptive innovation” as it is not the technology itself that destabilizes the status quo but rather the way it is used. The internet was in fact disruptive in the newer sense of the term when it spread, but the expression “disruptive technology” had not yet been coined in the early nineties.
Going a step further, today, artificial
intelligence, a transformative power which is beginning to infiltrate teaching
and learning, is viewed by some as “disruptive”; there is emphasis on the
hassle, risks, and side-effects, not just the benefits. So, what are
“disruptive technologies”? They are innovations that substantially alter processes
and the way people operate. Examples are electronic commerce, which has
partially replaced traditional shopping; online news sites, which have greatly affected
traditional newspapers, causing many to close; and innovative transport services,
affecting the taxi industry.
Speaking back in 2018, Anastasia
Lauterbach, author of The AI Imperative, stated that the Internet had
already disrupted about 20 percent of the global economy, and that AI would
transform the rest. Interestingly, she also claimed that this was happening even
though “AI is not, by some measures, all that intelligent yet…. Some compare
the technology’s intelligence to that of a 4-year-old, while others compare it
to that of a rat.”
Five years later, the 4-year-old
has grown into a clever big magician – or monster, depending on your view. AI
has succeeded so far in personalized learning solutions, improving test scores
and general academic performance. It has also helped through virtual tutors and
personalized learning assistants. Additionally, it can provide students with
feedback on their homework, besides delivering more engaging content, as in
interactive language learning. AI can simulate students in the training of new
teachers; it can also provide metrics on lessons, including student speaking time, as well as providing educational updates for teachers. Furthermore, AI is showing
promise in improving accessibility for students with disabilities and other
special needs, making education more inclusive and accessible. Still, there are
challenges and concerns regarding replacing teachers with this innovation. Many
believe that, if allowed to be more than a mere tool or assistant in the hands
of educators, it could become “disruptive” in the negative sense of the term.
Other challenges include privacy and data protection, besides infrastructure and
availability of training and support for educators.
The disruption in the workforce is
a concern for many, including hard working students. Claire Chen has reported
from Stanford University that a Computer Science faculty member was recently
faced with a crying student in his office. The student was worried that ChatGPT
would reduce job prospects in coding, after long years of learning how to code
(Stanford University Human-Centered Artificial Intelligence –
Education News). While it
is true that AI will diminish some job opportunities, it will open new possibilities
and leave humans to focus more on critical thinking, ethics, and the more
creative side of work. No need to cry: hope remains for all!