小学入学“生态均衡”分班模型的理论构建与价值考量

小学入学分班是学校内部教育资源“再分配”的过程,开展从“平行分班”到“生态均衡”入学分班的实践研究,将家庭文化资本、家庭教养方式、兴趣特长与行为控制等要素纳入分班依据,建构“生态均衡”入学分班模型,保障资源“再分配”制度设计、操作过程和分班结果的公平与科学。分班模型具有一定预测与鉴别力,借助大数据可实现班级间发展指标的生态均衡分布。“生态均衡”分班可有效缓解家长分班焦虑,增强家校信任,促进家校深度沟通,更有利于改善家庭教养方式。学校和教师通过对数据的充分运用,可制定更为科学和个性化的班级管理与学生发展指导策略,提高学校育人实效。

FLIGHT CLASSIFICATION MODEL BASED ON TRANSITIVE CLOSURE ALGORITHM AND APPLICATION TO FLIGHT SEQUENCING PROBLEM

A new arrival and departure flight classification method based on the transitive closure algorithm （TCA） is proposed. Firstly, the fuzzy set theory and the transitive closure algorithm are introduced. Then four different factors are selected to establish the flight classification model and a method is given to calculate the delay cost for each class. Finally, the proposed method is implemented in the sequencing problems of flights in a terminal area, and results are compared with that of the traditional classification method（TCM）. Results show that the new classification model is effective in reducing the expenses of flight delays, thus optimizing the sequences of arrival and departure flights, and improving the efficiency of air traffic control.