The Ministry of Education recently issued the "Innovative Action Plan for Artificial Intelligence in Colleges and Universities", demanding the promotion of "new engineering" construction, focusing on artificial intelligence and computer, control, mathematics, statistics, physics, biology, psychology, sociology, law and other disciplines. The cross-integration of professional education forms a new mode of "artificial intelligence + X" compound professional training. By 2020, 100 "artificial intelligence + X" composite specialty programs will be built, and 50 artificial intelligence colleges, research institutes or cross-research centers will be established.
Artificial intelligence is a complex technology involving multiple disciplines. It needs the basic theoretical support of a series of disciplines. When entering the application, it also has a strong substitution for many types of work due to the leading edge of rapid technological advancement, and leads to legal and social morality. There is a lag in supervision and supervision, which leads to various complicated issues such as justice, ethics, employment, and psychology. For these problems, artificial intelligence alone cannot be solved by itself. It must be connected with other disciplines to form a cross-integration of "artificial intelligence + X" composites to activate the development potential of artificial intelligence and other disciplines.
Students ask more virtual assistants to help answer
As early as 2013, the University of Oxford published a research report titled “The Employment Prospects: Which Jobs Are Most Prone to Computer Automation Challengesâ€.
The report analyzes 702 common occupations and believes that it takes a lot of social and creative work, or that it requires skill and flexible use of skills. Robots are hard to replace. At the end of the 16-page list at the end of the report, higher education managers and higher education teachers ranked 52nd and 112th in the career rankings with the lowest likelihood of being “computerized†with a 1% and 3.2% chance, respectively. Bit.
Moreover, the emergence of artificial intelligence technology is not only difficult to incite the work of university teachers, but also may help the teaching work.
Answering questions for students is the basic responsibility of teachers. However, if massive problems are concentrated, and you want to answer them one by one, you will not be able to do so. I hope that there will be individuals to share them. This is the value of virtual teaching assistants. One of the most famous examples is the assistant Jill. In April 2016, an artificial intelligence course opened by Ashokore, a computer science professor at the Georgia Institute of Technology, opened the pot near the end. As a core compulsory course for more than 300 students per semester, more than 10,000 real-time information published by students on the course network platform has made Professor Gore and his eight assistants busy.
However, when Gore discovered that the questions asked by students were relatively fixed, usually related to the final exam, syllabus and curriculum arrangement, so he “sneaked†an artificial intelligence program “Jill†as a teaching assistant to interact with students online. It relieves the stress of the teachers and teaching assistants.
The appointment of a virtual assistant does not mean that the human assistant is about to become unemployed. After all, it is currently responsible for mechanically answering questions such as correct file formats, data usage, and faculty's schedules with objective answers. And some of the more complicated problems still require human assistants to respond.
Teaching personalized learning system to make decisions
If you want to ask what is the most popular technology in higher education today, adaptive learning technology will certainly be mentioned repeatedly.
“It will allow the learning system to automatically adjust the curriculum, learning materials or learning activities to match the learner's personal circumstances, personality and needs, thus providing learners with a personalized learning experience.†Horizon Report (published by the International New Media Alliance ( The Higher Education Edition), for the third consecutive year in 2015-2017, predicts that adaptive learning technology will be widely adopted in higher education in the future. Artificial intelligence undoubtedly provides strong technical support for its better use in education.
The adaptive learning system can use the basic artificial intelligence algorithm to “calculate†the content they need to learn based on the student's learning experience, and better realize the learning personalization. At the same time, for teachers, because such systems can better understand their learning progress in the student learning process, it also helps the system to feedback data and provide information to teachers to analyze and understand the overall situation of a student and his class. Demand to assist teachers in making the right educational decisions.
High test score cost
Artificial intelligence first picks the wrong
Evaluation of open-ended questions (such as essays) is a daunting task for teachers when scoring assignments or exams, especially in large classrooms. Some people believe that because students' responses have their own syntactic and semantic structure, it is very possible to replace the human feedback with artificial intelligence systems by simply “training the computerâ€, and the cost is lower than that of relying on people. Much more. By learning millions of essays and corresponding scores in depth, artificial intelligence will soon be able to master the routines for correcting essays. Think about it, a teacher can read 10,000 essays in the past forty years, and it seems that the artificial intelligence of reading millions of essays in just a few minutes seems more experienced. And indeed experiments have shown that the scores given by artificial intelligence are almost exactly matched with human teachers.
Beginning in the fall semester of 2017, teachers at the University of Michigan began using computer-aided instruction to change paper assignments. This auxiliary scoring tool M-Write, developed by the school's teacher team, uses text automatic analysis technology to analyze the content of the submitted articles by different algorithms (such as vocabulary matching and topic matching) to find the problems in the students' papers. In addition, teachers can find the students who need help in writing through the results of semantic analysis. However, before returning the final score to the students, the teacher also needs to check the scores of the computer and make certain corrections.
Similar applications are also being tried in Chinese universities. At the end of the 2017 school year, 11 foreign students from the International College of Zhejiang International Studies University completed a special Chinese test paper – the batch teacher was an artificial intelligence system from Alibaba. In this batch of papers, the artificial intelligence system accurately marks the wrong positions of foreign students, such as multiple words, missing words, wrong words and word order errors, on the test papers with symbols representing different meanings, and completes the correction of the composition. Accuracy and meticulousness are close to or even beyond human level.
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