tailieunhanh - Lecture Notes in Computer Science- P8

Lecture Notes in Computer Science- P8: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. | Exploring a Computer-Assisted Managing System with Competence Indicators 25 positive effect on students calculation ability. It should be the result that the system is effective to the training of the numeric fluency. After Subtest Three s original scores are transformed into the percentage scores. The scores in the pre-tests M SD are significantly better than those in the post-test ones M SD .The a value of t-test is . It shows that the scores in pre-tests and post-tests are different t a . It indicates that the system is helpful for students in the ability of mathematical application. After the total original scores are transferred into the percentage scores the scores in the pre-tests M SD are significantly better than those in the post-test ones M SD .The a value of t test is . It shows that the scores in pre-tests and post-tests are different t a . It indicates that the system can upgrade the students learning effects. Teaching of mathematical concept might not be a field where computer system can develop. The elements provided by the system can not complete teaching of mathematical concept. Improvement of students calculation ability might be pushed under the training of the system and pressure of time. Most of the evaluation elements are application questions and solving more application questions helps students solve questions. Feasible learning resource categorization method is established in order to build the networked learning environment. 5 Conclusion Using ICTs on teaching activities cannot guarantee the upgrading of teaching quality and learning effects 15 16 . This study proposes CIs of Grade 1-9 Curriculum as the learning resource classification in the system and further constructs networking learning environment. System feasibility analysis and empirical study prove that this system can allow the students to upgrade their math capacities by self-learning. Thus we infer .