While the continuous development of information technology and its wide application to higher education have deeply impacted the patterns of student learning and campus activities, resource allocation and teaching mode innovation have become the focus of higher education. Based on a sample of student volunteers from a research university in China, this study employed GPS and Wifipositioning technologies, supplemented with log information from the campus information system, to study the spatiotemporal distribution of campus activities such as those in the classrooms, dorms and the stadium, by gender and across grades. The study also discussed possible causes for the different activity patterns as well as the usage of campus facilities. The results of this study revealed that the spatial distribution of campus resources appeared decentralized. In detail, student campus activities and learning sites became diversified. Students tended to choose the proximate facilities and sites for study and other oncampus activities, resulting in the decline in the use of traditional learning sites (e.g. libraries and classrooms). These results provided recommendations for campus resource allocation, university BI and the data collection for smartcampus.
LIU Zhen
,
ZHOU Jing
,
ZHAO Zi-Ying
. Study on spatiotemporal distribution of students’activities on e-campus[J]. Journal of East China Normal University(Natural Science), 2015
, 2015(6)
: 126
-133
.
DOI: 10.3969/j.issn.1000-5641.2015.06.016
[1]张勇.大学生行为特点及管理研究[D].长春:吉林大学,2005.
[2]刘建东.大学生行为方式与性格关系的研究[J].中国校医,2006,20(5):461462.
[3]HAASE A,STEPTOE A,SALLIS J F,et al.Leisuretime physical activity in university students from 23 countries: Associations with health beliefs,risk awareness, and national economic development[J].Preventive Medicine,2004,39(1):182190.
[4]陆莉.广西不同专业大学生信息行为模式调查比较[J].情报探索,2010(8):3436.
[5]DRAIJER G, KALFS N, PERDOK J. GPS as data collection method for travel research[J]. Journal of Transportation Research Board.2001,1719:147153.
[6]GLEAVE S, GEOSTATS.The use of GPS to improve travel data[R].London:the London Department for Transport,2003.
[7]AMPT E, STOPHER P, WUNDKE J.Households on the moveexperience of a new approach to voluntary travel behaviour change[R].Sydney:the 28th Australasian Transport Research Forum,2005.
[8]WU J, JIANG C, LIU Z, et al. Performances of different global positioning system devices for timelocation tracking in air pollution epidemiological studies[J]. Environmental Health Insights, 2010(4): 93108.
[9]OHMORI N, NAKAZATO M, SASAKI K, et al.Activity diary surveys using GPS mobile phones and PDA[R].Washington D C:Transportation Research Board 85th Annual Meeting,2006.
[10]寇丽莉.大学生日常生活行为与大学集聚区社会空间结构研究[D].西安:陕西师范大学,2009.
[11]祁黄雄,陈立章.杭州下沙高教东区学生行为时空特征研究[J].地理研究,2010,29(7):12811290.
[12]刘臻,鲁学亮,WU J.基于空间分布特征的行为模式自动分类方法[J].计算机应用,2011,31(1):112115.