The Lay of the Land for Digital Learning: The Practical Implications of AI, Quantum Computing, At-Scale Degrees, and More
If change is the only constant, the rate of change—particularly in digital learning—is not.
In 2019, a calculation that would take Summit, the fastest traditional supercomputer, around 10,000 years to solve was cracked by Google’s quantum computer in an astounding 200 seconds. Forget Moore’s law—Hartmut Neven’s law predicts growth in quantum computing power is doubly exponential. Charted on a graph, that growth rate becomes nearly vertical.
Quantum computing coupled with artificial intelligence will bring us, finally, to the holy grail of truly personalized learning, which will power a new era in individual learning, knowledge, and achievement. We’ll be able to match prospective learners with our educational offerings with a quality not possible before. We’ll predict job market growth and demand for skilled and knowledgeable workers with precision.
At the same time, we’re seeing major growth in prestigious universities offering low-cost degrees along with the rise of so-called mega-universities, some of which serve more than 100,000 students. Add the rapidly growing MOOC-based degree programs to the more traditional class-size mega-universities, and we’re on the cusp of more than a million learners served efficiently and economically. At-scale degrees and mega-universities are reshaping not only higher ed but the future of learning as a whole.
This session, led by Ray Schroeder, will delve into these and other key changes that have shaped and continue to shape learning in the 21st century—and, of course, the practical impact of it all. Ray brings an unmatched depth of knowledge and passion for online learning, the field where he’s worked for more than two decades, building 20+ online degree and certificate programs. Read Ray’s full bio.