The invention relates to the field of
electronics, in particular to analysis systems. A teaching difficult point big-
data analysis system includes an examination paper reviewing
system, a knowledge point classifying
system and a teaching difficult point statistical system; the examination paper reviewing system is used for reviewing students' examination papers and extracting mark numbers of examination questions which are wrongly answered in each student's examination paper, and the extracted mark numbers serve as mistake
question mark numbers; statistical operation is conducted on the examination papers of all students, and the error rate of each mistake mark number is extracted; the knowledge point classifying system is provided with an examination-question-classifying category
list, and mark numbers of examination questions based on the same knowledge point are classified into a knowledge point item in the examination-question-classifying category
list; the teaching difficult point statistical system is used for adding up the error rate of each examination
question mark number in one knowledge point item, and the overall error rate of the knowledge point item is obtained; the knowledge point items of which the overall error rates are 50% or above serve as teaching difficult points. According to the teaching difficult point big-
data analysis system, the teaching difficult points are found out through teaching difficult point big-
data analysis, so that it is convenient for teachers to learn about the teaching difficult points, and therefore the teachers can further explain the teaching difficult points to the students.