A Study on Computer Distance Individualized Instruction based on Web Mining Algorithm

Abstract

To study the computer distance individualized instruction, this paper applies literature investigation method, summarization method and case study to mine the learning data. Based on the analysis on the current distance teaching system, it is found that the system can't satisfy the learner's requirement of individualized instruction. To solve this problem, this paper proposes distance individualized instruction model based on data mining technology, and analyzes the model and its implementation model. It also modifies Apriori algorithm with the aim to mine learner logs to find out their frequent transversal path in the distance instruction system through Web mining. The result was then solved out to enable the individualized recommendation of its interface, which validated the feasibility and effectiveness of the teaching model and provided a new reference direction for distance individualized instruction.