The Research Of Learning Evaluation In Mobile Situated Learning

For the volume of information which people need to face has presented a trend of exponential grow in the information age, which is a challenge for human learning ability, people have begun to focus on learning efforts in mobile learning environment. Mobile situated learning based theory of situated cognition and mobile internet has become the hottest way to learn nowadays, it not only makes it possible to learn anytime and anywhere by helping people overcome the limitations of time and space conditions, but also provides personalized learning services based the truly learning situation. However under the specific situation learner’s objectives and requirements differ from each other, and the application mobile context learning will be affected by many confounding factors easily, so the learning evaluation of mobile situated learning will become more complex.This learning mode which combines some features of the learning theory and cognition theory emphasizes interactivity in a mobile environment. It can use to teach, and also is good for solving some problem. The research content of this paper is about the learning effects on solving practical problem. Because the learning process involves the learners, teachers and learning platform, so the evaluation of situated M-Learning related to the diversity of the evaluation and the whole of learning process, including individual learning effects, interaction quality between teachers and students, the implementation effects of learning platform.This paper introduces mobile situated learning environment and elements. In order to avoid unrealistic situation to evaluate the learning effect, this paper based on the understanding of mobile context learning, set up a mobile learning platform with video interactive features to complete hands-on learning activities.This paper divides the whole learning process into learning trigger stage, learning the preparation stage, matching teacher stage, guidance request stage, and interactive feedback stage. Accordingly, each stage there are 1 or 2 features can exhibit the effect of learning, then these features or factors can be broken down and 2 or 3 indicators. And it is the foundation for the evaluation index system. The paper adopted questionnaires to collect the opinions and suggestions of teachers and students for testing whether the various indicators reflect the effect of mobile situated learning or not. After principal component analysis of data, the data processing results show the degree of correlation between the various indicators and the contribution of learning. This paper extracts the four main components of which reflect the learning outcomes according to the size of the contribution rate order, and sorts out index composition of main components factor, thus complete the construction of evaluation system about mobile context learning.In order to complete the research of learning evaluation based on the establishment of a evaluation system, this paper use the BP neural network model as a basis for the evaluation to calculate the data from learning process. This evaluation model based on BP neural network inherits the advantages of artificial neural networks. Because BP neural network can achieve automatic adjustment to mapping rules of input and output, the import index data generated in the process of learning to the trained models were calculated the approximate effect score. It can mimic human evaluation methods to give the actual effect score in evaluation process. So it can reduce the workload of teachers’ evaluation to achieve the computer intelligent evaluation function, but also can reduce the deviation of man-made factors by relying on the stability of the computer. In the final model simulation and implementation phase, the learning evaluation model was tested. The result of test showed that the evaluation model based on BP neural network is feasible because of its error is small. And compared with face to face learning, there still exist some gaps in the mobile situated learning on problem-solving and guidance, but its advantage is lower study costs.