The impact of big data on the education industry: refined management, personalized learning

Big data has brought significant impact to the education industry. Accurate learning diagnosis, personalized learning analysis and intelligent decision support based on big data have greatly improved the quality of education, and have played an important role in promoting education equity, improving education quality and optimizing education governance, and have become an important support indispensable for realizing education modernization. The main roles of big data in education are highlighted as follows:

First, it is conducive to promoting personalized learning. Based on big data, it can finely portray students’ characteristics, gain insight into their learning needs, guide their learning process and diagnose their learning results. By measuring, collecting and analyzing various data related to learners’ learning backgrounds and processes, we can summarize and analyze students’ learning styles and behaviors from a large amount of student-related data, and then provide personalized learning support. For example, Arizona State University used the Knewton online education service system to improve students’ math proficiency. The system distinguished each student’s strengths and weaknesses through data analysis and provided targeted instruction, and after two semesters of using the system, the graduation rate increased from 64% to 75% for all 2,000 students, and student performance also increased significantly.

Second, it facilitates differentiated instruction. On the one hand, teachers can recommend appropriate learning resources according to students’ different needs, and on the other hand, they can achieve a larger scale of education. For example, the MOOC platform breaks through the limitations of the physical classroom in traditional education, and the courses reach a wide audience and can meet the learning needs of hundreds of thousands of learners at the same time. In the teaching process, the MOOC platform can rely on big data to build a learner experience model to evaluate its online courses, redesign the online courses, change the course learning sequence, optimize teaching strategies, and provide different teaching services for each learner, thus realizing diversified and personalized teaching under scale.

Third, it is conducive to the implementation of refined management. Under the traditional education environment, the data that education management departments or decision makers rely on is limited, generally static, local, fragmented and lagging data, or data declared and filtered and processed at each level. In many cases, management and decision making can only be made by experience. Big data, based on comprehensive data sources from all aspects of society, can achieve real-time accurate observation and analysis, which is important for advancing education management from empirical, rough and closed to refined, intelligent and visualized. Taking school curriculum design as an example, SHERPA (Higher Education Personalized Service Recommendation Assistant System) developed by Saddle Mountain College in California, USA, can help school curriculum design consultants solve the course selection problems faced by students by making recommendations for their courses, time slots and optional sessions based on their preferences. In addition, the system provides feedback to teachers and course designers through intelligent analysis so that they can target improvements to materials.

Fourth, it facilitates the provision of intelligent services. Big data can collect and analyze all aspects of behavior records of administrators, parents, teachers, and students to comprehensively improve service quality and provide better services to learners, teachers, parents, and others. The comprehensive collection, accurate analysis and rational use of big data in education has become the driving force for schools to improve their service capabilities, form data to speak, make decisions and manage with data, and use data to carry out accurate services. For example, in school selection services, the use of big data intelligent analysis technology can help crack the problem of emotional education school selection and promote rational school selection. The American Academy of Education launched the “college navigator” project, which analyzes all the 7,000 colleges and universities in the United States through big data on various resource indicators (such as location, tuition, scholarship funding, enrollment and graduation rates, etc.) and ranks and selects all colleges and universities. In turn, it helps parents and students find the ideal college.

The future development of artificial intelligence, big data, cloud computing and the Internet of Things deserves attention, all of which are cutting-edge industries. Multi-intelligence Times focuses on the introduction and science spectrum of artificial intelligence and big data.

“Artificial intelligence + education” has a good foundation and unique advantages. For example, voice recognition, visual recognition and other technologies in the world; national intelligent education platform has gathered a huge amount of data resources, 291 million school students and 18,443,700 full-time teachers show rich application needs; digital infrastructure conditions in the field of education are upgraded comprehensively, the national primary and secondary schools (including teaching points) Internet access rate reached 100%, 99.5% of schools have multimedia classrooms. The number of terminals equipped for teachers and students in schools exceeds 28 million. It should also be noted that the application of artificial intelligence technology in the field of education is still in its initial stage. The “digital divide” may exclude some students from intelligent education, there are security risks in data collection, use and analysis, and the development of relevant public policies is lagging behind …… to modernize education with artificial intelligence, these are the topics that need to be answered. . With an eye on the future, we should work together to create a high-quality, warm artificial intelligence education ecology. On the one hand, the technology should serve to educate people, in order to let it “teach” “solve the problem” at the same time, must adhere to the teacher “preaching” the main position. On the other hand, people should also understand and make good use of technology, and strive to improve the ability to apply information, so that artificial intelligence can better assist teaching. Education is dynamic, development, rational thinking about the relationship between people and technology, grasp the laws of education, the use of technical means, the cohesion of all parties to further promote the deep integration of artificial intelligence and education, innovation and development, in order to better enable the modernization of education, to cultivate innovative talent to meet the requirements of the times.

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