Analysis and estimation of learning style in Library
- 经济学院－已发表论文 
根据南京师范大学社科专业图书馆2016年4.22—5.22的在馆读者信息,以可反映学习状态的参数——在位人数、总占位数及吃零食、玩手机、用电脑、睡觉、交谈、学习等的人数,对该馆内读者的实时学习状态进行了抽样分析。首先,通过读者出入馆信息确定了状态参数的抽样时间为上午10—11时,并定义学风指标为学习人数除以实际在位人数;再对抽样时间点的学习状态参数及天气情况建立模型。通过建立负二项回归模型、广义线性模型,并应用稳健性检验方法得到了在馆读者的实时学习状态。结果表明：学风指标区间为60%-80%,处于良好状态;8—11时的进馆人数与学习氛围呈正相关关系,天气因素对馆内读书人数有较大影响,其是无法改变的外生变量,可通过改善图书馆的硬件设施与服务质量提升进馆人数;模型估计的学风指标与实际情况基本一致。Based on the present readers＇ information from Nanjing Normal University professional library between Apr 22 th and May 22 th in 2016, the readers＇ real-time learning style are analyzed by some parameters reflecting learning status such as the present number, the total number of occupied seats, and the numbers of who are eating snack, playing phones, using computer, sleeping, talking and learning. Firstly, the readers＇ entrance information are used to ensure that the sampling time of status parameters is 10—11 a.m. each day, and we define the learning style index as the number of who are learning divided by the real number of who are present seated. Secondly, a model is put forward based on the learning status parameters and weather conditions from sampling time point. By the Negative Binomial Regression, Generalized Linear Model and robust test, the real-time learning status of present readers is put forward. The results show that the interval of the learning style is 60%-80%, which is good; there is a positive correlation between the entrance number of 8—11 o＇clock and the learning atmosphere. The weather condition is an unchanged exogenous variable that affects the number of readers. The improved library＇s hardware facilities and service quality can increase the entrance number. The index made by the model is basically consistence with the actual circumstance.