Research On College Students' Innovative Learning Capacity Improving In Web2.0 Learning Environment

This study is under the guidance of the report No Limits to Learning, which Dr. James Botkin co-authored for the Club of Rome. In this study, the author has used the complex adaptive system to redefine Innovative Learning of College Students. She suggests that innovative learning is much different from innovative education. They are not only different from each other in the subject, but also belong two completely different domains. Therefore, there is great misunderstanding between innovative learning ability and ability to be innovative. But they didn't show any differences in current research on innovation, in which the ability of innovation improving has been mostly concerned. Meanwhile, due to the particular age in which students with special psychological characteristics, college students demand particular innovative learning ability. It should be very different from K-12 students. Therefore, the redefinition of innovative learning abilities of college students is the core of this study.Upon the definition of innovative learning capacity of college students, this study was firstly to obtain some comprehension about college students'innovative learning capacity from experts by the open questionnaire, and then formed a close questionnaire about the measure of the innovative learning capacity of college students. A further factor analysis method was used to form a model of innovative learning capacity. The formal questionnaire contains 14 secondary dimensions, involving four aspects: 1) students'awareness of getting necessary building blocks of internal model which to adapt the future environment; 2) the strategy of the blocks getting; 3) the strategy of the internal model construction; and 4) the quality of innovative learning. Then about 800 questionnaires were distributed to collect the innovative learning actualities and problems of college students.Next, complex adaptive system theory and synergetics theory was used as a guidance of designing methodology, and some strategies of innovative learning capacity improving based on a web2.0 environment were constructed, which was according to college students'practical problems, including environmental tactics, active tactics, and teacher-student cooperation tactics, and so on. In this paper, the design of learners'activities and teachers'support strategies in the web2.0 learning environment were the most important focus. These strategies were applied in the instruction of Professional English of Educational Technology to validating their effects, and to amend the theoretical model and methodological model for further learning research. At the same time, it can also provide a theoretical basis and practical support to personnel training for the University, while provide case studies of learning resources in learning science.There were few real distinguish about the relationship of innovative learning and innovative education, even about capacity of innovative learning and innovation capacity. The main innovations of this research, which has broken some traditional cognition about the innovative learning and innovative learning capacity, and which has contributed new definition of them, abandoned the traditional restoring thought. The use of holistic thinking from complex adaptive system is a perspective way of methodology guidance for learning mode (or communication mode between teachers and students) construction.But the "destruction" is very dangerous, too. In a bold criticism of the traditional process, due to the researchers'cognitive limitations, there is inevitably biased and one-sided. So whether it is intentional or not, there may be more or less breakage to the original balance of the traditional theory system, thus there would be an impact to the original theory. This bold broken of original theoretical system could become fatal weaknesses in this research. In addition, due to "capacity" is an individual psychological characteristics, its change is a long-term, implicit in the process. It is difficult explicit way with a short measurement. So it still needs a long-term verification.