一种基基于本体的中小学生成长评估体系

摘要

为了解决我国现行中小学教育评估体系中所存在的评估不全面、不公平等不足,提出了一种基于本体的成长评估体系.该体系从公平、过程、趋势三方面,对现有体系进行了改进.根据“一评估者、一学生、一影响度”的原则,尽量消除因各种人际关系和模糊性而导致的不公平现象.根据每次评估结果,为学生建立成长记录.以图示和数值的方式全面分析学生的进步、特长和发展趋势.某小学的应用案例,验证了该体系的实用性.%Diffusion Tensor Magnetic Resonance Imaging(DT-MRI) is a rising Magnetic Resonance Imaging(MRI) technology in recent years.As a non-invasive method to describe complex inner structure of human brain,it plays an important role in clinical diagnostics.Because the unfolding images from the tensor data of different people or the same people at different times are different,these images should be aligned into a unified framework.Inverse compositional algorithm is a power method for image registration.However, the inverse compositional algorithm has some flaws.The convergence rate will be slow when the error image between template image and target image is large.This paper proposes a variable step-size algorithm based on the inverse compositional algorithm, which can raise the convergence rate by changing the step size adaptively.Ex-perimental results show ihat this improved algorithm is faster than the inverse compositional algorithm and robust to the geometry variation.