Abstract
The development of network technology has brought great convenience to academic education and realized the interaction of learning. Students can find the learning materials they need through the online learning platform, which will lead to online learning behavior. Based on intelligent mining technology and knowledge model intelligent matching algorithm, this paper designs a student demand mining system, and then takes students in an electrical major class as the research object, and uses this system to mine the learning behavior and skill needs of the students in this class during online learning. Among the online learning behaviors generated by electrical majors, browsing behaviors and retrieval behaviors account for a large proportion, and students have a greater demand for the improvement of single-chip programming skills and CAD drawing skills.
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