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OFweekrobotNetwork News is now a critical period for the college entrance examination to fill in the volunteers. How to fill in the volunteers more accurately? This year, some internet companies are launching “big data + artificial intelligence” applications to provide accurate matching solutions through massive data mining. From the college entrance examination robot entering the examination room and the champion PK, to the artificial intelligence assisting in filling out the volunteers, the combination of artificial intelligence and education is full of expectations. 2017 is called the year of artificial intelligence explosion. In the field of education, what are the uses of artificial intelligence? What changes will it lead to?

The college entrance examination robot is here, and the robot that can do the questions will be the tutor

Just ten days after AlphaGo defeated Ke Jie, the world’s top Go player, two special robot candidates in the college entrance examination room this year once again aroused the public’s attention to artificial intelligence.

On the afternoon of June 7, the college entrance examination mathematics test was just over, and two special “additional tests” were held outside the test room. Aidam, a robot developed by Beijing Xuebajun Company, completed the college entrance examination mathematics test paper in 9 minutes and 47 seconds, with a score of 134. The AI-MATHS of Chengdu Zhunxingyun Company took 22 minutes to complete the test paper, and the test score was 105 points.

Many people sighed that in addition to being able to play chess, Robots can also do problems! So, how is a robot master developed? After mastering the stunt, what does the robot want to do?

It is understood that the “College Entrance Examination Answering Robot” AI-MATH of Chengdu Zhunxingyun Co., Ltd. is actually a part of the human-like intelligence project of my country’s 863 plan. The full name of this project is “Key Technology and System of Artificial Intelligence Based on Big Data”. It was launched in 2018, and more than 30 domestic research institutes and enterprises participated, gathering a group of top talents in the current domestic artificial intelligence research.

Aidam developer and founder of Xuebajun Zhang Kailei told reporters that the college entrance examination robot is a pivot point of artificial intelligence in the field of education, involving technologies such as natural language recognition, image recognition, logical reasoning, and symbol processing. Once done, it will become possible to use robots for problem determination, personalized guidance, student management, home-school communication, and lesson plan improvement. If the robot has the two major capabilities of automatic problem solving and handwriting recognition, automatic correction of homework is no longer far away.

Before going to the examination room, the robot has also undergone some “hard training”. Xuebajun has done a photo search application before and accumulated 70 million questions in the background. Aidam trains 300,000 to 500,000 questions a day in order to take the mathematics college entrance examination.

Chemistry in the teaching process: teaching students in accordance with their aptitude is no longer far away

After the news of robots participating in the college entrance examination was revealed, the reporter interviewed a teacher who was teaching in a key high school in Henan. He was still looking forward to it, “I don’t know much about artificial intelligence technology, but I hope that in the near future, The auxiliary functions of robots can be fully reflected in teaching, such as the correction of homework, the analysis of examination papers, the analysis of various indicators of students, and the grading of college entrance examination papers, which relieve teachers from heavy burdens.”

Indeed, a word that is often mentioned in the field of education is teaching students in accordance with their aptitude. Under the premise of fully understanding students’ personalities, it is an ideal educational state to give targeted counseling instead of “one thousand people”. But in reality, this often means that teachers have to invest a lot of time and energy in analyzing students’ academic performance one by one. If there is a robot assistant that can work tirelessly 24 hours a day, teachers can free up their precious time and energy to do more “warm” things.

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In 2016, a professor at the Georgia Institute of Technology in the United States developed a robot named Jill Watson with the help of IBM’s supercomputer Watson system to answer emails or post in forums to answer students’ graduation thesis. various problems encountered.

At present, artificial intelligence is at a critical stage of development from perceptual artificial intelligence to cognitive artificial intelligence. With the maturity of artificial intelligence technologies such as image recognition, speech recognition, natural language processing, and semantic analysis, robots can also participate in teaching more deeply. process.

Many people who take the college entrance examination have had such a collection: the wrong question book. After a lot of practice using the question sea tactics, record the wrong questions and review them in a targeted manner. So imagine, if in the future teaching, the data of the learning process can be automatically recorded and analyzed, and the machine system will provide students with personalized practice papers? These “pain points” in the education process are becoming the demand points targeted by technology companies dedicated to artificial intelligence + education. There are already some related products on the market.

Not long ago, at the “Artificial Intelligence and Future Education” summit forum hosted by East China Normal University and China Education Thirty Forum, an expert said that when there is any repetitive need and a lot of data accumulation, it can be done. replaced by artificial intelligence. Recording and analyzing massive amounts of data and working “tirelessly” are precisely what artificial intelligence is good at.

In the future, with the recording and accumulation of high-quality data in the educational process, it will bring more profound improvements in teaching methods and even changes in educational evaluation technology. According to reports, schools in Shanghai’s Minhang District are piloting the “integrated system for recording, broadcasting, evaluation, research and training”, which collects and analyzes data for the entire course through video, including the rate of students raising their hands, the rate of raising their heads, and the behavior of teachers. Target deficiencies improve teaching.

With the advent of AI, what major should I study in the future?

After the arrival of artificial intelligence, what should education teach in the future? How are university majors set up? This is what a lot of people care about. In fact, since the birth of artificial intelligence, “will artificial intelligence take people’s jobs?” has been a topic of constant debate. According to Jerry Kaplan, the author of the book “The Age of Artificial Intelligence”, the application of artificial intelligence in the future will be embodied in two forms: “synthetic artificial intelligence” and “artificial labor force”. The former is a virtual program, corresponding to office white-collar work; the latter is a robot entity, corresponding to blue-collar work.

With the outbreak of the artificial intelligence industry, the market demand for artificial intelligence professionals has exploded, and major companies at home and abroad are launching AI (Artificial Intelligence) talent competition. Artificial intelligence-related majors are becoming a hot field.

Where is the impact on other majors? The emergence of unmanned driving, logistics robots, sweeping robots, and nursing robots has allowed us to see the possibility of robots replacing some manual labor in the future. The implementation of artificial intelligence in finance, medical care, law, education and other industries will bring variables to future office work.

In May of this year, Deloitte, one of the four major accounting firms, launched a “Deloitte Financial Robot”, which can replace the highly repetitive manual operations in the financial process; enter information, merge data, and summarize statistics; according to the established business Logic to make judgments, etc. Similar things are happening in all walks of life: training robots to read structured medical data to assist in diagnosing specific diseases; letting robots help lawyers find a large number of legal cases, saving lawyers time; in financial exchanges, artificial intelligence programs replace traders. The decision to buy and sell…

However, is there really no need to study these majors in the future? From the current application point of view, robots mainly have advantages in processing structured data and repetitive work. It is still too early to completely replace human work.

Kai-Fu Lee, the author of the book “Artificial Intelligence”, proposed the “Five-Second Rule”, “If a job that was originally performed by humans can make corresponding decisions on issues that require thinking and decision-making in the work within 5 seconds, Then, this job is very likely to be replaced in whole or in part by artificial intelligence.” Instead of worrying about being robbed of jobs by robots, it is better to consider how to improve the gold content and creativity of the work, and raise the professional threshold. (People’s Daily Central Kitchen Banmu Fangtang Studio is not yet available)