When you go to Uniqlo, people of Uniqlo talk to you and advise how you can coordinate your favorite fashion. When you go to hospitals, doctors ask you what your condition is and advise you what you should do in order to be healthy. Then let us consider whether computers can talk to you and answer your questions, instead of a human being.
It is the first step to know the customers in service industries, students in education. So there are many people working to face with customers and students. If computers can face with customers and students, it means that quality of services dramatically is going up because computers are cost-effective and operate 24hours per day, 365 days per year without rest time.
I like taking courses in open online courses. It is very convenient as we can look at courses whenever we want as long as internet connection is available. But the biggest problem is that there are no teachers to be asked for each learner when you want to ask. This description explains this problem very well.
“Because of the nature of MOOC-style instruction (Massive Open Online Course), teachers cannot provide active feedback to individual learners. Most MOOCs have thousands of learners enrolled at the same time and engaging personally with each learner is not possible.”
When I cannot understand the course lectures and solve the problems in exams by myself, it is very difficult to continue to learn because I feel powerless. This is one of the reasons why completion rate is very low in open online courses (usually less than 10%). If you need assistance from instructors, you should pay fees which are not cheep for people in developing countries. I want to change this situation.
A technology called “Machine learning” may enable us to enjoy conversations with computers cross industries from financial to education. Computers can understand what you ask and provide answers in real-time basis. It takes some time to develop to make computers more sophisticated, so that computers can answer exactly what you want. This is like a childhood. At the beginning, there is very little knowledge so It may be difficult to answer questions. Then computers start learning from interactions with human. The more knowledge they have, the more sophisticated their answer is.
So I would like to start to examine how computer is learning in order to provide sophisticated answers to learners and customers. If computers obtain enough knowledge effectively, they can talk to you and enjoy conversations with you. I hope computers can be good partners to us.