生成性学习资源进化评价指标设计

Assessment Indicator for Generative Learning Resources

学习资源评价是引导资源建设方向、提高资源质量、促进优质资源传播与共享的重要手段。当前学习资源质量评价研究更侧重于资源终极质量的评判，少有对资源进化过程进行评价，同时也无法预测资源未来的进化效果。本文从“进化”的视角出发，在借鉴已有资源评价规范的基础上，采用文献调研法和专家访谈法，构建了生成性学习资源进化评价指标体系。该指标体系包括5个ー级指标（资源内容、资源结构、标注规范、资源教学性、资源活性）和22个ニ级指标。本文依据该指标体系编制了相应的资源进化评价量表，并在学习元 平台进行了试用。研究结果表明：该指标体系具有较好的完整性，能对资源进化评价提供系统指导；资源进化评价量表具有较强的可操作性，可以有效评判资源进化的结果和过程。

Learning resource assessment is an important way to guide the resource construction， to enhance resource quality， and to promote the spread and share of excellent educational resources. The status of of learning resource construction is changing from planning to conducting. Currently， the research about learning resource quality assessment are more inclined to the evaluation of ultimate resource quality， which may hardly evaluate the process of resource evolution ，also may hardly predict the effect of resource evolution in the future. Based on the existing resource evaluation criterions ， this paper starts from the perspective of evolution， uses literature research method and expert interview method ，and constructs an evolution assessment indicator system for generative learning resources. 1 he evaluation indicator system includes five first level indicators， including resource contention， resource configuration， marking standards， resources teaching quality and resource activity， and twenty two second -level indicators. In this paper， according to the index system， we have made corresponding assessment scale， and carried on the trial test in Learning Cell System. The result shows that the evaluation indicator system has good integrity and is able to guide the generative learning resource assesssment. The evaluation scale can evaluate the evolution result and evolution process of learning resource in the open environment effectively.