First, why should we analyze it?
Learning situation analysis is the basis of setting teaching objectives. Teaching objectives without learning situation analysis are often castles in the air, because only by truly understanding the characteristics of students' existing knowledge, experience and cognitive psychology can we determine the development areas and recent development areas of students in different fields, different disciplines and different learning activities (areas between the developed level and the possible development level), and explain that they are the development areas of teaching objectives in recent years from the aspects of knowledge, skills and ability.
Learning situation analysis is the basis of teaching content analysis (including teaching material analysis). Teaching content without analysis of learning situation is often scattered or aimless, because only for specific students can we determine the focus, difficulty and emphasis of the content.
Learning situation analysis is the foothold of teaching strategy selection and teaching activity design. Teaching strategies without learning situation analysis are often teachers' wishful self-expression. Without students' knowledge and experience, any explanation, operation, practice and cooperation may be difficult to implement.
In a word, the analysis of learning situation is the concrete implementation of the teaching concepts of "student-centered" and "learning-oriented".
Second, what is learning situation analysis?
The content of learning situation is very extensive, and all aspects of students may affect learning.
Students' existing knowledge structure, students' interests, students' thoughts, students' cognitive status and development law, students' physiological and psychological status, students' personality, students' learning motivation, interests and content development status and prospects, etc. Learning methods, learning effects, learning time, students' living environment, students' recent development fields and students' sense of success are the breakthrough points of learning situation analysis.
Thirdly, analyze students' physiological and psychological characteristics.
In the process of physical and mental development and growth, students' emotions, emotions, thinking, will, ability and personality are still very unstable and immature, with great plasticity and variability.
Through the analysis, we can know whether their physiology and psychology match the learning content, as well as the possible knowledge misunderstandings, fully foresee the possible problems, and analyze the classroom in a targeted manner, so that the teaching work has strong foresight, pertinence and effectiveness.
Specifically, for students of the same age, whether they are good at thinking in images or abstract thinking; Like to talk or be shy and conservative; Do you prefer to cooperate with teachers or oppose them? The depth, breadth and persistence of attention to students of different ages are also different.
These characteristics can be analyzed by learning some simple developmental psychology knowledge, and can also be mastered flexibly through experience and observation.
There are also different topics that students of different ages are interested in. On the one hand, teachers should combine students' interests in teaching, on the other hand, they should properly guide students not to condescend and indulge their bad interests.
Fourth, improve the accuracy and efficiency of teachers' teaching.
With the help of learning big data platform, teachers can dynamically collect educational big data, realize systematic processing of information, and grasp students' achievements and knowledge points that were difficult to count before in time.
At the same time, the big data platform provides teachers with regular learning reports of class and student dimensions, which is convenient for teachers to continuously pay attention to the error changes and academic development of the whole class and each student, systematically grasp the overall changing trend of their education stage, accurately locate weak links and cognitive problems, and guide students to learn in a targeted manner.
In addition, teachers can diagnose each student's learning situation on this basis, and then analyze and reason the students' learning situation from the aspects of knowledge, ability, emotion, attitude and values, evaluate students' learning ability objectively and fairly, and provide personalized guidance.
Five, improve the pertinence and quality of teaching and scientific research activities.
Instead of relying on reports, we analyze and diagnose according to the learning situation, generate reports of various dimensions, and sort out and analyze more scientifically.
Sixth, improve teachers' proposition level.
By analyzing the data in the report, such as difficulty, reliability, discrimination, validity, and the proportion of different difficult questions, educational administrators can improve the scientificity of compiling papers and teachers' ability to put forward questions.
Seven, improve the overall information literacy of teachers.
Teachers can use big data teaching to complete the operation of examination papers, examination papers and scanning. Thereby reducing the workload of data statistics. At the same time, based on a large number of learning data, students can be guided accurately and the teaching efficiency can be greatly improved.
In order to make teachers become "data literacy" under big data, we need to track students' learning progress by reading data and explain what students' most effective learning is through probability prediction.
I think this means that we need to establish a perfect SaaS platform for school teachers and students, such as Next School, which takes teachers as the core and takes helping teachers reduce their burdens and help schools increase efficiency as the starting point. Take "science and technology change education" as the mission, and drive education progress with "artificial intelligence+big data" technology; Taking "automatic marking" and "accurate teaching" as the core function points, we can realize "mutual learning and learning" in primary education and improve teaching efficiency in an all-round way. This platform with responsibility, mission and technical strength is exactly what we need today.
Only in this virtuous circle can big data teaching be truly realized, personalized teaching be presented and education be targeted at every child. I hope our education can really change from big data teaching.
Eight, how to reduce the workload of teachers' learning situation analysis
From what we have said before, we can know that teachers need to do a lot of work to analyze the learning situation. Now that technology is so developed, is there any way to reduce the learning burden of teachers? The answer is yes, of course!
Nowadays, cutting-edge technologies such as artificial intelligence and big data have a great influence on teachers' teaching, and artificial intelligence and big data change education is no longer out of reach. We can use big data to help teachers statistically analyze students' learning situation, compare test scores, and sort out easy-to-mistake questions, so as to help teachers reduce burdens and increase efficiency, accurately teach, realize "mutual learning and learning" in primary education, and comprehensively improve teaching efficiency.