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In the future, big data and artificial intelligence will continue to revolutionize education.

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Bill Gates once predicted, "In five years, you will be able to get the best courses in the world for free online, and these courses will be better than those offered by any single university."

Now it seems that although not every online course can be better than university tutorials, online education has become a reality. According to industry estimates, the number of online education users in China currently exceeds 100 million, and the market size reaches hundreds of billions of yuan. , and online learners also benefit a lot.

Not only has online education become a new trend, but with the support of big data and artificial intelligence, related applications in the education industry are entering a deep-water period, and the form of modern education is quietly changing.

Big data + AI empowers education

Currently, big data + AI is empowering all walks of life, and education is no exception. Intelligent technologies such as face recognition and speech recognition are beginning to be used. It provides more intelligent and personalized solutions for education in subjects such as Chinese, English, and music.

From the perspective of the teaching process, including teaching, learning, assessment, management and other aspects, big data + artificial intelligence can diversify the form and content of education.

Teaching

“We have to admit that we know too little about our students.” This is a classic saying from the School of Education at Carnegie Mellon University, and it is also a common saying in the field of education. issue.

For the generations in the 80s, 90s and earlier, they received production line education from primary school to university. Each generation of students used the same set of teaching materials, one subject was responsible for one teacher, and they were assessed through the same set of standards. , because personalized private education is still a luxury.

Now, big data and AI can help easily realize adaptive education and personalized teaching. In terms of teaching methods, smart classrooms can provide teachers with richer teaching methods, full-time interaction, and teaching based on learning. Teachers no longer only have one textbook during class, but can access massive amounts of high-quality learning in the background at will. Resources are presented to students in various forms.

For example, the application of speech recognition and image recognition in education has greatly improved the teaching experience of teachers and students. For a certain English sentence, you can take a photo with your mobile phone and upload it to the cloud. The system will read the sentence with an appropriate tone and intonation based on massive speech materials. It can also be combined with speech assessment technology to allow students to follow the sentence and read it. The system makes assessments and scores are read aloud repeatedly.

At the same time, through the perfect combination of virtual reality, augmented reality and big data, the educational scene is restored as much as possible, allowing students to love and enjoy learning, and the learning effect can also make a qualitative leap. For example, Google is quietly changing the way classroom activities are conducted by introducing AR and VR technologies to create teaching applications "reality teaching."

During the teaching process, by collecting and analyzing data generated during students’ daily learning and homework completion, teachers can accurately know each student’s mastery of knowledge points and provide targeted guidance for each student. Arrange homework accordingly to achieve the effect of teaching students in accordance with their aptitude.

In addition, robot teaching will also become a trend in the future. Previously, in a class of more than 300 people at the Georgia Institute of Technology, artificial intelligence robot teacher Jill Watson served as a teaching assistant for a month. She replies to emails as soon as possible, and her tone is not robotic, so no one realizes that she is actually a robot.

Learning

For students, in the learning process, on the one hand, big data technology can be applied to create knowledge maps and study plans based on the relationship between knowledge points. On the other hand, data mining technology can help further analyze students' individual learning levels and establish study plans that match them. The AI ??system determines how to provide students with personalized supplementary guidance to help them learn efficiently and avoid question-filled tactics.

For example, a test question that took three hours to practice in the past may only take half an hour to learn the knowledge points that really need to be mastered. Then, by applying big data and artificial intelligence, we can continuously evaluate students' learning results and recommend exercises suitable for each student in a targeted manner, saving time and achieving better learning results.

At the same time, the use of image recognition technology can also further improve learning efficiency. Nowadays, students can use their mobile phones to take pictures of textbook content or homework questions, analyze the photos and text, and display the corresponding key points and difficulties. Subsequently, online classes, encyclopedia links, and PPT and PDF files uploaded by teachers provide more possibilities for independent learning. The entire process uses machine learning and natural language processing technology to collect and process.

In addition, online education is developing rapidly. By providing flexible and diverse course formats such as video teaching, riddles, and games, as well as high-quality and rich course content, learning is not limited to a certain time and place, but can be arranged flexibly and effectively. Study plan.

Among them, as far as programming is concerned, more and more children are learning through online education.

For example, Codingmao relies on artificial intelligence and data mining systems to provide a graphical programming platform for teenagers aged 6 to 16 years old, and provides differentiated courses for different students. By using graphical programming languages ??to create games, software, animations, stories and other works on the platform, students can simultaneously exercise and improve their logical thinking abilities, task decomposition abilities, interdisciplinary integration abilities and team collaboration abilities.

Assessment

In traditional education, examinations and evaluations can be said to consume a lot of teachers’ time. Today, technologies such as big data, text recognition, speech recognition, and semantic recognition are becoming increasingly mature, making large-scale automatic correction and personalized feedback a reality.

By applying big data and artificial intelligence, teachers only need to scan the test papers that need to be reviewed, and they can count and display the number of scanned test papers, average scores, highest scores, and the most concentrated errors in real time. The questions and corresponding knowledge points are clear at a glance, which facilitates comprehensive and real-time analysis.

If you need to analyze hundreds of thousands or millions of test papers, you can also use accurate image and text recognition and massive text retrieval technology to quickly check all test papers and texts with similar objectives, and quickly Extract and mark test papers that may have problems to help achieve intelligent assessment.

In this regard, iFlytek can be said to be at the forefront of the industry. Its automatic English speaking assessment, handwritten text recognition, machine translation, and automatic essay review technologies have been certified by the Ministry of Education and used in many projects across the country. Provincial and municipal college entrance examinations, high school entrance examinations, academic level speaking and composition are automatically graded.

Management

If most learners only focus on the "learning" part, then school education needs to further analyze educational behavior data and do a good job in management in addition to teaching. Through intelligent technology, fully considering the needs of campus management including the Academic Affairs Office, Student Affairs Office, School Affairs Office, School Affairs Office and other departments, the school can further collect, record, and analyze teaching and learning and related educational behaviors to better outline The true form of education and teaching effectively promotes the informatization of teaching.

Currently, some colleges and universities have established functional applications such as student portraits, student behavior warnings, student family economic status analysis, student comprehensive data retrieval, and student group analysis to help better identify students who are studying in their majors or seeking employment. potential in the direction, thereby providing students with personalized management and training plans.

For example, in the face of diverse course selection needs, how to reasonably schedule classes has become an urgent problem to be solved. In the absence of artificial intelligence, teachers often take several weeks to schedule classes, and there is no guarantee that students will be able to attend classes. satisfy. Artificial intelligence algorithms are now used to schedule classes. Students only need to submit their course selections, and the system can quickly schedule classes based on courses, classrooms, and teachers, greatly improving efficiency and student satisfaction.

In the field of education, this is just the beginning. The transformation of education by big data and artificial intelligence will continue to ferment. In the future, big data will be used to personalize education and artificial intelligence will be used to empower education. While doubling the educational production capacity, high-quality teaching resources will be fully utilized, thus teaching students in accordance with their aptitude and individual needs.

In this regard, we must not only look up at the stars, but also keep our feet on the ground. As educator Mr. Ye Shengtao said, education is agriculture, not industry. Not only does education require a development process, but children also need time to grow like crops, and big data and artificial intelligence will become important nutrients and auxiliary forces during their growth period.

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Editor: Huang Jiyan

Proofreading: Wang Hongyu

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