With the development of the times and the progress of science and technology, the era of "big data" has quietly arrived. With the high-speed innovation of hardware and the high-speed intelligence of software, the era of big data has also had a wide and profound impact on the field of higher education. In essence, big data is not a product or a technology, but an abstract concept. Some people vividly compare "big data" to the new frontier of human exploration in the 2 1 century. Supported by highly developed information network technology, it presents huge data information, including related related processing technologies. Big data is a new technology hotspot after cloud computing and Internet of Things in recent years.
Big data has 4V characteristics, including massive data volume, fast data flow and dynamic data system (speed), diverse data types and huge data value. As far as the practical value of data is concerned, IBM believes that it should also have a fifth V feature, that is, authenticity. In daily work and study, the benefits of data information authenticity are self-evident, which is the most basic requirement and guarantee in the field of education. In order to use the huge resources in the era of big data to serve education, the selection and identification of teachers is particularly important. From this perspective, the authenticity of the data restricts the content taught by teachers and the content learned by students to a certain extent.
The era of big data challenges traditional education. Because of its own characteristics, it puts forward some requirements for education, such as individualized development of educational objects, reform of educational methods, open educational concepts and scientific management, which is more conducive to the development of quality education. The data in the era of big data has the characteristics of large amount of information, diverse forms, strong real-time performance and diverse values. Only by paying attention to the diversified development of people can educational models and concepts cultivate high-quality talents. However, on the contrary, traditional teaching methods emphasize the dominant position of teachers. In order to facilitate management and ensure the teaching effect, the most effective and simplest way for teachers is to require every student by standardization, which is manifested in unified teaching materials, unified homework, unified assessment and single student evaluation method. This is not only not conducive to giving full play to students' initiative, but also limits students' way of thinking and vision in the long run and cannot meet the demand for high-quality talents in the era of big data.
If we want to make better use of the data in the information age for education, we must change the teaching methods and put forward new requirements for teachers. Teachers should not only establish the concept of lifelong learning, but also better grasp the dynamic information of the frontier of the subject, make better use of the characteristics of openness and enjoyment of data, enrich the learning content and improve the teaching level. With the emergence of "massive open online courses" and "micro-courses" platforms, students are familiar with and use it, enriching and developing the online teaching mode, which requires teachers to constantly adjust, bid farewell to the traditional teaching role, take students as the main body, take technology as the means and platform, and become the organizer, guide and evaluator of knowledge learning.
The application of big data technology not only promotes personalized development, enriches learning content and improves learning efficiency, but also helps teachers to master the laws of students' physical and mental development. Together with traditional teachers, through interviews, telephone exchanges, home visits and other students' side reflections, we can judge students' psychological characteristics with work experience, and apply big data technology to analyze and measure students' psychological characteristics. By summarizing the solutions to the practical problems encountered before, this observation method is not only more rational, but also can further effectively predict the future psychological situation, which can promote teachers to better understand students, promote learning effects and improve learning ability.
In the context of big data, it not only innovates the educational concept, but also provides new ideas for the management of colleges and universities. A large amount of data will be produced in the process of informatization in colleges and universities, including information on teachers and students, information on student status and grades, information on registration and course selection, etc. Using big data technology to manage this information will be very convenient to help the school's resource management and teaching methods. At present, the information system of colleges and universities is constantly developing and improving. Besides data management, campus network and distance education system, library information management system and digital campus have also been developed. How to systematically analyze a large amount of information generated by these systems and build high-quality colleges and universities under the background of informationization is particularly important. Among them, teaching management, learning behavior and teaching evaluation are all influenced by big data.
How to use big data and related technologies to promote education development in the field of education is a long process, in which opportunities and challenges coexist. As educators, we should seize the opportunity, meet the challenge, firmly grasp the pulse of the times and better serve education.
The above is what Bian Xiao shared about the influence of big data on teaching. For more information, you can pay attention to Global Ivy and share more dry goods.