论文部分内容阅读
知分填报平行志愿模式,使得志愿填报相对容易,但是由于各个批次招生计划数的变化明显、二本升格一本院校招生以及批次合并等新情况的出现等等变量较多,使得志愿填报的难度有所增加。实行知分填报志愿和批次合并后,对于绝大多数考生而言,仅仅以线差或仅仅依靠位次来定位院校是完全不可行的。必须依托大数据进行多角度、全方位的对比、计算,才可能较为准确合理地确定报考院校的范围。
However, due to the obvious changes in the number of enrollment plans for each batch of batches, the emergence of more than two new cases of enrollment by colleges and universities and the emergence of new situations such as batch mergers, etc., many of the variables make voluntary The difficulty of filing has increased. The implementation of the notification of volunteer and batch merger, for the vast majority of candidates, only to track or rely solely on the order to locate institutions is entirely impractical. We must rely on big data for multi-angle, all-round comparison, calculation, it may be more accurate and reasonable to determine the scope of applicants.