【摘要】 为解决单一学数据的学习评价信息缺失问题,提出多源教学数据融合的学习评价,用以探析数据融合技术在教学中的应用价值。先用Spearman计算不同数据源之间的相关性,算出不同数据源的关系权重和寻优权重,然后综合加权进行融合计算。通过综合加权融合对学生的综合学习评价进行融合计算,不仅可以平衡学生在不同教学方式下的学习评价的差异,融合不同学习方式之间的优缺点。通过实验验证综合加权的数据融合算法是效的,可以为更全面的学习评价提供帮助,为适应自身学习提供依据。更多还原

【Abstract】 In order to solve the problem of lack of learning evaluation information of single learning data,a learning evaluation with multi-source teaching data fusion was proposed. The correlation among different data sources was analyzed with Spearman and the relationship weight and optimization weight of each data source was calculated,by which the fusion calculation was done with comprehensive weighting. By such a way,the differences of students’ learning evaluation with different teaching methods can be balanced and the advantages and disadvantages of various learning styles can be fused. The results show that this method is effective,which is helpful for comprehensive learning evaluation and provides a basis for adaptive learning.更多还原