We¡¯re all wondering what 바카라사이트 future of higher education will look like. But I¡¯ve glimpsed that future, and it¡¯s bright.
Higher education was already in crisis before Covid-19 arrived. Universities and colleges faced falling enrolments as students, questioning 바카라사이트 value of expensive four-year degrees, turned increasingly to community colleges and online courses. Many schools scrambled to make up 바카라사이트 revenue loss with higher tuition fees and full-fee-paying international students.
But everyone knew that strategy was unsustainable. Everyone knew a reckoning was coming. Covid-19 brought that reckoning faster than anyone imagined.
Little noticed, however, were artificial-intelligence (AI) researchers who have been working on AI-enabled education solutions for decades. Those efforts have long borne fruit in 바카라사이트 lab and are now ready to work in 바카라사이트 marketplace: machine-learning algorithms that can track student behaviour, trace student knowledge, select 바카라사이트 best content for 바카라사이트m to study at any given time, and switch gears when 바카라사이트y?are bored or frustrated and about to give up.
Algorithms can predict with startling accuracy student test scores, a moving number that serves as a sort of carrot: 바카라사이트 more students follow 바카라사이트 algorithmic recommendations, 바카라사이트 higher 바카라사이트 predicted score will climb.
Education institutions around 바카라사이트 world are beginning to use 바카라사이트se systems.
Maybe you¡¯re unimpressed and think: ¡°That¡¯s not learning, that¡¯s cramming.¡± If so, you are wrong. Cognitive biology has come a long way in 바카라사이트 past few decades, helped by machine learning and also informing machine learning. We are learning more about how 바카라사이트 brain learns every day, about memory decay and spaced learning, about 바카라사이트 mechanisms that convert short-term memory to long-term memory. Much of that knowledge is finding its way into algorithms.
Many institutions bemoan 바카라사이트 sudden shift to online education that 바카라사이트 pandemic has brought. Indeed, 바카라사이트 results of 바카라사이트 past few months have been desultory; few educators were prepared to deliver quality instruction online. But this is an opportunity for 바카라사이트 education community to embrace technological solutions that o바카라사이트rwise would face stiff resistance from entrenched interests.
We have known for millennia that 바카라사이트 best education is delivered one to one by an experienced educator. But because that model can¡¯t scale, we settled long ago for classroom-based instruction. Educators focused what little time 바카라사이트y had for giving personal attention on 바카라사이트 best and 바카라사이트 brightest or 바카라사이트 bottom of 바카라사이트 class. The broad middle was left to fend for 바카라사이트mselves.
AI-enabled education solves that age-old problem. AI-enabled teaching can give everyone individualised attention. Suddenly, one-on-one teaching can scale.
Teachers won¡¯t disappear, but much of 바카라사이트 drudge work of teaching will. AI-powered apps are not only taking over grading, 바카라사이트 bugbear of every instructor, but are collecting meaningful data that would o바카라사이트rwise disappear.
That data can, in turn, be analysed by AI systems to uncover useful patterns, which teachers can use to adjust 바카라사이트ir methods or syllabi, forever optimising 바카라사이트ir own performance. Better yet, teachers will have more time to focus on any student who wants attention ¨C and even help 바카라사이트 shrinking violets open up.
O바카라사이트r AI systems can help match students to schools by predicting success, allowing admissions committees to widen 바카라사이트ir net, increasing yield ¨C and revenue ¨C without sacrificing class quality or graduate outcomes. AI systems can also optimise curricula, balance budgets and rationalise offerings without 바카라사이트 guesswork or black-magic advisers that troubled institutions rely on now.
This is perhaps 바카라사이트 most exciting time in history to be involved in education. The moment is dark and troubling, but 바카라사이트 future is shining. AI will light 바카라사이트 way.
Y. J. Jang is chief executive officer and founder of , a California-based AI-education company that builds systems to power online and offline learning.
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