Student learning condition analysis method based on artificial intelligence and teaching system
A learning situation and artificial intelligence technology, applied in the field of computer teaching, can solve problems such as insufficient analysis of students' learning situation, and achieve the effects of improving teaching quality and efficiency, improving learning methods, and accurate models
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Embodiment 1
[0049] In an exemplary embodiment, a method for analyzing student learning situation based on artificial intelligence is provided, such as figure 1 As shown, the method includes:
[0050] Extract the test scores of all students studying the same course;
[0051] Clustering and dividing the students according to the test scores to obtain the initially divided student categories;
[0052] Iteratively searching for a new standard sample for division according to the student categories of the preliminary division, and re-dividing the student categories to obtain the final student categories;
[0053] The learning status of all students is obtained according to the final student category.
[0054] Further, the test scores of the students include the test scores of each chapter, wherein the number of students is k in total, the number of chapters of the course is l, and x i Represents the test scores of chapter i(i∈l) in this course of student x(x∈k), then the test scores of all ...
Embodiment 2
[0072] In order to solve the poor teaching effect existing in the existing computer teaching, and the teacher cannot deeply grasp the specific learning situation of the students, the present invention also provides a teaching system, such as figure 2 As shown, the teaching system includes a student terminal, a teacher terminal, a local database server and an artificial intelligence data analysis module, and the student terminal, the teacher terminal, and the local database server are respectively connected to the artificial intelligence data analysis module, and the local database server is also connected to the artificial intelligence data analysis module. Connect with the student terminal and the teacher terminal respectively;
[0073] Described local database server is used for the teaching material of storage, and described teaching material comprises the test result of all students when learning the same course;
[0074] The artificial intelligence data analysis module i...
Embodiment 3
[0080] Based on embodiment 2, a kind of teaching system is provided, and described teaching system also comprises cloud database server, and described cloud database server is connected with described artificial intelligence data analysis module, and described cloud database server is used for storing the teaching data of school over the years, The teaching materials include the learning situation of all students.
[0081] Specifically, with the increase in the number of students each year, the amount of teaching-related data continues to increase. The local database server does not have this storage capacity, and there is no need to store all the data over the years in the local database. Therefore, a large amount of data over the years needs to be stored in the cloud. , and retrieve the required data from the cloud when needed. The cloud database is mainly used to store information about students and teachers, including teaching materials, student grades and other teaching-r...
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