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Lecture Notes in Computer Science- P14

Lecture Notes in Computer Science- P14:This year, we received about 170 submissions to ICWL 2008. There were a total of 52 full papers, representing an acceptance rate of about 30%, plus one invited paper accepted for inclusion in this LNCS proceedings. The authors of these accepted papers came from many different countries. | Research on Learning Resources Organization Model 55 3.2.4 Learning Content Scheduling Algorithm The scheduling algorithm of learning contents explains how to choose a appropriate learning object when the learner begins to learn a knowledge cluster. At first it determines the knowledge point according to the sequence relations of knowledge and then chooses the best learning object according to the learner s learning style and the learning context. The organization of learning contents mainly includes two aspects. One is how to show the appropriate learning contents after choosing the knowledge cluster to learn the other is how to diagnose difficult knowledge points and choose the appropriate learning content when the learner ends the learning and does not pass the test. Fig 5 shows the relation of knowledge points sequence relations and personalized manifestation. CT rrj ili 3 IQ Knowledge points sequence Fig. 5. The relation of knowledge points sequence relations When the learner begins to learn a new knowledge cluster the system runs the scheduling algorithm as follows. 1 The learner chooses a knowledge cluster according to his needs. 2 The system provide the learner with pre-test according to his learning state and the selected knowledge cluster in order to test whether the learner has the ability to learn the knowledge cluster. 3 Providing the learner with the best appropriate knowledge point on the basic of knowledge points sequence relations. Choosing knowledge points is the strategy of presenting the learning object according to the learner s learning style personalized characteristic etc. 4 Providing the learner with the appropriate learning object from the same knowledge. 5 Repeating 3 4 and providing all the knowledge points in the knowledge cluster to the learner step by step. When the learner finishes the learning of a knowledge cluster but he does not pass the test the system will find the difficult knowledge point and then choose the appropriate .