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Aimed at the network teaching system to provide recommendation services for learners that there are some shortage. By analyzing the characteristics of personalized teaching, it designed a personalized teaching resources recommendation model which based on association rules. Teaching resources in this paper are organized by the relationship of curriculum knowledge points, the learners are clustered by the similar characteristics, thus to obtain learners - knowledge points two-dimensional table. This paper presents an improved Apriori algorithm. Association rules are obtained through looking up frequent item sets in the two-dimensional table, to recommend the knowledge, thus to achieve the objective of personalized recommendation.
Natural Computation (ICNC), 2011 Seventh International Conference on (Volume:4 )
Date of Conference: 26-28 July 2011