In class, the teacher told the students, "Finish the first to tenth questions". However, is it really necessary for all students to complete this 10 problem?
In the teaching process, how to better inspire students, how to better interact in class, and whether the duration of a class is 40 minutes or 45 minutes. Do teachers rely on experience or scientific analysis for these problems?
If you think about the above questions, then you will be open to the change of big data to the educational form.
The era of big data is coming quietly, and the data that could not be collected and analyzed in the past is given the possibility by new technical means. Whoever can dig deeper into big data can seize the opportunity in the development of the industry, as well as in the field of education.
Just a few days ago, Hui Ke Education announced that it was officially launched on the basis of the original "course", that is, on the basis of the original online education platform, a vertical recruitment platform was launched. From analyzing the learner's career orientation, to recommending suitable positions, to personalized courses, after examination and certification, they are finally pushed to matching recruitment positions, completing a set of paths for learners from learning to job hunting. Such an educational model, which is completely different from the previous school education, has aroused heated discussion in the industry. This educational model is based on the personalized data analysis of learners.
Are the two candidates with the same 90 points the same ability level?
Big data makes education truly face every individual.
"I have to admit that we know too little about students." This is the classic slogan of Carnegie Mellon University School of Education, and it is also the most concerned topic in the top ten annual education conferences in the United States. Similar thinking also exists in the field of education in China.
"Do we really know children?" "Every child is unique, unique, but can we teach them truly personalized and differentiated?"
To give a simple example, are the two candidates who scored 90 points in the math exam exactly the same? According to the traditional teaching model, we will think that students with the same grades have similar abilities. But if we borrow the analysis method of big data, the differences between students will be clearly displayed. According to the analysis of two 90-mark candidates, we found that the first student relied more on excellent logical thinking, while the other student's logical reasoning ability was relatively weak, and he achieved better results by relying on excellent memory.
Therefore, big data allows us to look at students' development more comprehensively and find deep-seated problems that can't be reflected in previous test scores. Of course, if the teacher can grasp this situation in time, he can carry out different teaching methods and directions for the two students.
For example, the way teachers assign homework is usually "Please finish the first to tenth questions." Please finish reading this 10 book during the holiday. Under the traditional education mode, it is understandable to assign different students the same bibliography and the same topic. However, if the new technology has helped us fully understand the personality and characteristics of each student, we will assign homework in a targeted manner, and then realize the dream that has lasted for more than two thousand years-teaching students in accordance with their aptitude.
If a student does the second question correctly, the system can immediately tell him to skip the fourth and eighth questions, because the second, fourth and eighth questions are all about the same knowledge point. If they are all done, it is a simple repetition. If student B makes a mistake in the third question, the system will prompt him to practice the sixth and ninth questions intensively. This is because based on the analysis of big data, students who make mistakes in the third question are likely to make mistakes in the sixth and ninth questions. Targeted repeated training is very necessary.
In fact, we are no strangers to this model. Some websites will push some products according to your previous buying habits, and Weibo Operation will judge who they may be interested in according to who you have paid attention to before, all based on this principle, that is, the analysis of big data.
If business websites have become more and more familiar to students, why can't our teachers become more and more familiar to students?
Can big data means and new technologies replace teachers?
Optimize the traditional teaching mode, reduce indoctrination and increase classroom interaction.
Recently, "curtain class" is a well-deserved "hot word" in the field of education. After Peking University, Tsinghua University, Fudan University and Shanghai Jiaotong University joined the curtain class alliance led by foreign universities, a few days ago, 40 universities in Shenzhen University formed the "National University UOOC Alliance", aiming to build their own curtain class alliance in China universities.
This news once again makes "large-scale online open courses" based on new technical means become the focus of attention in the social and educational fields. While discussing the impact of new technology on the traditional teaching mode, people naturally think: Will big data means and curtain classes replace the traditional teaching mode and eventually make teachers unemployed?
The answer should be no.
"New technology can't replace teachers, but it redefines education." Zhong Wei, an associate professor at the School of Economics and Management of Shanghai Maritime University, thinks, "Can no teacher flip the classroom and education under information technology? On the contrary, watching videos of online courses is becoming more and more standardized. However, students are personalized, which requires our teachers to learn to use high-tech and educational information resources efficiently and guide students' growth and progress in a targeted and more personalized way. "
Why do you say that?
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 are better than those offered by any university." Yes, in the future, students can get courses from any university and any teacher without any threshold or barriers, and cross the country and nation. This will bring a possibility that online learning is increasingly becoming the main way to learn knowledge, and the data of students' learning behavior will be automatically retained, which is more convenient for later evaluation and evaluation of learning behavior. Teachers no longer analyze students' commonness, preferences in learning and problems encountered. Based on my own teaching experience, as long as I analyze the behavior records of comprehensive learning, I can easily draw the rules in the learning process.
What about offline? Traditional classroom will realize functional transformation, become a place to exchange learning results, dispel doubts and doubts, and become a necessary supplement to online learning.
In this regard, Fang Yechang, the founder of Hui Ke Education Group, gave a supportive view. "After a long period of online education exploration, we found that online education cannot completely replace offline education. Perhaps in the future, students from all over the country and even students from all over the world can listen to a teacher's class through the Internet, but students still need a large number of teachers who also teach this course to undertake offline functions such as auxiliary learning, guidance, answering questions, interaction and evaluation. New technology will liberate some teachers, some teachers will change from traditional teaching posts to auxiliary learning posts, and others will change from traditional teaching posts to new teaching content and teaching method innovation. These are all things that online education cannot complete and are indispensable. "
In this regard, Zhong Wei believes: "Information technology has liberated some innovative teachers, making them abandon a lot of repetitive work and focus on the core functions of teachers. This is the liberating power of technology. "
Having said that, we will find that big data is not mysterious, and it will supplement rather than subvert the changes in education. As Zhang Hua, the founder of Shanghai Siles Information Consulting Co., Ltd. said, "With the advent of the era of big data, the development and research in the field of social sciences has gradually moved from macro groups to micro individuals, making it possible to track everyone's data, thus making it possible to study every individual. For educational researchers, we will be closer to discovering real students than ever before. " And this is the progress of education.