Where: cctalk20202020

Accompanied by guest: Wei Zhong

Learning Reflections and ****ing

What to learn in the Age of Intelligence?

The future is the age of artificial intelligence. Artificial intelligence when how to learn is far more important than what to learn, in the future of human-machine collaboration in the era of the most effective learning methods are: take the initiative to learn from the machine, to worship the machine as a teacher, from the results of the calculation of artificial intelligence to learn from the model that helps to improve the human way of thinking, ideas and and logic; interactive online learning will be more and more important, the advantage of online learning is not limited to the time, not limited to the location, and can be optimized for the educational resources. *** enjoy educational resources; learning to pursue interests, whether it is beauty or curiosity, or other reasons for interest, so that you can create value that can not be replaced by machines.

Summary of Learning Content

Why Smart Teachers are Needed in the Age of Intelligence.

Will Al education subvert or enhance serious subject education?

1, automation in accordance with a predetermined plan and change most of the B complex and mechanical control: traffic lights, voice-activated lights, etc.:

.2, machine learning: according to the changing environment to find the optimal strategy: sweeping robots, pudding voice assistant, etc..

3. Artificial Intelligence: Multi-dimensional variable inputs are grounded in training in accordance with the optimal output obtained without mechanically defined standards

outputs, such as face recognition machines.

I told her that in order to achieve the future dream, one is to boldly envision and practice, and the other is to learn basic

subjects such as math and physics.

Well, here comes the conclusion. As a university teacher, I give undergraduate graduate students artificial intelligence class, the basic theory

theory is simply not more than the discrete mathematics, matrices, vector space, probability, conditional probability, Bay

Ye Si pattern recognition, decision trees, the amount of information, the entropy of the information, coding algorithms, automation, machine learning, deep

learning convolutional neural networks for the eight-year-old child. In my experience as an educator for more than a decade, there are two competencies that depend on undergraduate academics,

one is thought patterns and the second is computational training. And in terms of thinking patterns, my eight-year-old daughter is not at all weaker

than my 20-year-old student, and computational training really has to be deepened through constant repetition over the next 12 years of her life. And I do

the experience of artificial intelligence courses, thinking training is actually regardless of age, for example, many computer-related professors

do not have artificial intelligence thinking, while eight-year-olds often have, this aspect is can be repeated and from a very young age

start. On the other hand, training in computational disciplines, which tends to depend on deepening more serious basic and higher

education, not only can't be subverted, but must be strengthened.

The question is: What does an increasingly automated tool require of an increasingly deft teacher's mind?

What is the ultimate standard for all kinds of educational assessment? What is the educational intensity of information acting on the human body?

What kind of information science will education become as information makes economics math? Artificial Intelligence benefits from the results of comprehensive research on human beings, so how will the results of research on artificial intelligence feed the future of education, professions and disciplines? What is the information principle behind the integration of arts and sciences, which is the starting point of education for truly innovative talents? As a future science education, how to distinguish between bullshit and wisdom? How can information stimulate the intrinsic role of information through the physical measures of wisdom? Is educational technology closer to technology or education? Why is it that every technological revolution is the first to revolutionize the lives of those who engage in technology?

Question: What is the value of information in education in the age of fragmentation and superficiality?

Why is it that information is the exterior, the map is the skeleton, and behind it is the cognitive paradigm? Why is the real paradigm behind smart education the computer paradigm? Why is conservative and radical the tipping point of the valve between different paradigms? Is the common sense behind all the various AI and technology tools just close to good teachers? What is the heart of information when it comes to utilizing big data for education? Why is it important to ask whether it is an ontology or an object when we talk about smart education? Why is the ultimate goal of education the process and the individual? Why is it that university smart education is essentially a downward spiral from teaching curriculum planning to resource matching? Then should be for the intermediate process evaluation of basic education, and what is the core value of information vision?

Educational Wisdom in the Age of Intelligence

1. Hui Zhen: "There is no tree in Bodhi, and the mirror is not a platform; there is nothing in the first place, and there is no place for dust." We can say that education does not exist, can also be from any new technology in education;

2.Wisdom:Education is layered, in a certain layer of the more intelligent children across the more difficult, with needless to say and this layer of the machine to compare. The purpose of education is to give children a higher vision.

3. Huimin: Dunshi can't just see, he has to be able to do it. Teachers should not induce themselves and their students to read two master's degrees, two doctorates, but should be touching on a higher realm;

4. Huigu: The reason for the famous school and family tradition is that the Huimin system is skillfully hidden in the holographic educational space and the students will meditate on a more ethereal educational constructs, teachers and schools should be used more than one to listen to understand the prophecy, more than the use of common sense and analogies, and less use of educational terminology. Education is hidden around, hidden in the scene, hidden in the individual; hidden in the service process, even hidden in the error.

5. Wisdom: Wisdom is able to break, wisdom is able to solve, teachers should have a certainty of the original heart, teachers and schools to face the next ten years of knowledge, the next thirty years of skills, the next thirty years of experience:

6. Wisdom: in the event of chaos and not shocked by the heart to adjust the material and experiential pursuit of the same need for economy and frugality built on the decision-making ability to less evidence and less knowledge, in order to insight into the wisdom and to skillfully break a thousand dollars.