一种基于混合布局策略的高校教师业绩数据可视化方法

doi:10.11896/j.issn.1002-137X.2019.02.004

Abstract

Abstract: The performance data of college teachers play an important role in the evaluation of teachers,such as assessment and evaluation,salary increasement,job appointment and promotion of professional titles.Aiming at the characteris-tics of complex hierarchical features and multi-dimensional attributes,this paper proposed a VPM (Venn Parallel Co-ordinates Mixing) hybrid visualization method based on circular nested graphs and parallel coordinates to visualize the performance data of college teachers.The method uses a circular nested packed graph based on D3 layout algorithm to represent the hierarchical structure,and then divides the circumference of the leaf nodes into different attribute axes,rea-lizing visualization of multi-dimensional attributes by user interaction such as layout design,attribute mapping,attri-bute point connection,scaling and highlighting.The method is applied to the teacher performance data,realizing the visua-lization of the hierarchical structure of the college,the research institute and the teacher,and clearly displaying detailed information of the data item.The experimental results show that the proposed VPM method can effectively display teachers’ performance data.The data and evaluation results are also in accordance with the actual situation,which can help the administrators to manage and evaluate teachers in a better way.

Key words: Hierarchical multidimensional data, Information visualization, Mixed layout, Parallel coordinates, Teacher performance evaluation

CLC Number:

TP391

DING Wei-long, XUE Li-li, CHEN Wan-jun, WU Fu-li. Visualization Method for University Teachers’ Performance Data Based on Mixed Layout Strategy[J].Computer Science, 2019, 46(2): 24-29.

References

[1]LI C H.Performance Evaluation of American College Teachers[J].Journal of National Academy of Educational Administration,2007,113(5):91-95.(in Chinese)
李长华.美国高校教师绩效评价[J].国家教育行政学院学报,2007,113(5):91-95.
[2]XI Y H,ZHANG D,SITU W E.A Review of Research on University Teachers’ Scientific Research Performance Evaluation System[J].Science and Technology Management Research,2011,31(10):71-76.(in Chinese)
席与亨,张丹,司徒唯尔.大学教师科研业绩评价体系研究综述[J].科技管理研究,2011,31(10):71-76.
[3]ZHOU J G.Application of Data Visualization Technology in Government Big Data[J].Computer Knowledge and Technology,2018,14(18):273-274.(in Chinese)
周建功.数据可视化技术在政务大数据中的应用研究[J].电脑知识与技术,2018,14(18):273-274.
[4]LIU D,WENG D,LI Y,et al.SmartAdP:Visual Analytics of Large-scale Taxi Trajectories for Selecting Billboard Locations[J].IEEE Trans Vis Comput Graph,2017,23(1):1-10.
[5]CAI L,PAN J,WEI B L,et al.Visual Analysis of Spatio-tempo- ral Patterns and Emotional Changes in Hot Spots of Sign-in Data[J].Small Computer Systems,2018,39(9):1889-1894.(in Chinese)
蔡莉,潘俊,魏宝乐,等.签到数据的热点区域时空模式与情感变化的可视化分析[J].小型微型计算机系统,2018,39(9):1889-1894.
[6]LIU Q H,CHAI Y M,LIU W.Chinese Weibo sentiment analysis model SR-CBOW[J].Small Computer Systems,2018,39(8):1693-1699.(in Chinese)
刘秋慧,柴玉梅,刘箴.中文微博情感分析模型SR-CBOW[J].小型微型计算机系统,2018,39(8):1693-1699.
[7]SUN G D,LIANG R H,HE X G,et al.Visual Analysis of High-dimensional Real-time Real-time Data[J].Journal of Computer-Aided Design & Computer Graphics,2013,25(8):1169-1176.(in Chinese)
孙国道,梁荣华,何贤国,等.高维时空房地产数据的可视分析[J].计算机辅助设计与图形学学报,2013,25(8):1169-1176.
[8]ZHOU Z J,LU T,XU K,et al.Clinical application of visualized puncture system in percutaneous nephrolithotomy[J].Journal of Clinical Surgery,2016,24(9):700-702.(in Chinese)
周治军,卢童,徐康,等.可视化穿刺系统在经皮肾镜碎石术中的临床应用[J].临床外科杂志,2016,24(9):700-702.
[9]陈为,张嵩,鲁爱东.数据可视化的基本原理与方法[M].北京:科学出版社,2013.
[10]WANG Y G,LIU Y Q,WANG X F.Research on Visualization Method of Academic Relationship for Scientific Research Eva-luation[J].Science of Science and Management of S.& Techno-logy,2014,35(5):13-18.(in Chinese)
王有国,刘玉琴,汪雪锋.面向科研评价的学术关系可视化方法研究[J].科学学与科学技术管理,2014,35(5):13-18.
[11]SUN D M,GU X Q.Overview and Prospects of Teacher Professional Development Research in China－Based on Measurement and Visualization of CSSCI Journals from 2004 to 2014[J].Journal of Education and Teaching Research,2017,31(1):71-76.(in Chinese)
孙冬梅,谷秀琴.我国教师专业发展研究的概况与展望— —基于2004－2014年CSSCI期刊的计量及可视化分析[J].教育与教学研究,2017,31(1):71-76.
[12]YUAN Y.Evaluation and Incentives of Teachers in Southwes- tern University of Finance and Economics[J].Business,2014(3):217-217.(in Chinese)
袁媛.西南财经大学教师业绩评价及激励[J].商情,2014(3):217-217.
[13]BAI H N.Research on Comprehensive Evaluation of Scientific Research Level in Colleges and Universities[D].Baoding:North China Electric Power University (Baoding) North China Electric Power University,2011.(in Chinese)
白海宁.高等学校科研水平综合评价研究[D].保定:华北电力大学,2011.
[14]JING M C,SUN J L.Research on Large Level Information Visualization Method[J].Information Science,2008,26(4):541-545.(in Chinese)
景民昌,孙洁丽.大型层次信息可视化方法研究[J].情报科学,2008,26(4):541-545.
[15]WANG W,WANG H,DAI G,et al.Visualization of large hie- rarchical data by circle packing[C]∥Conference on Human Factors in Computing Systems.DBLP,2006.
[16]CHEN Y,LIN X L,ZHAO Y F,et al.SunMap:an Associated Hierarchical Data Visualization Method Based on Heatmap and Sunburst[J].Journal of Computer-Aided Design & Computer Graphics,2016,28(7):1075-1083(in Chinese)
陈谊,林晓蕾,赵云芳,等.SunMap:一种基于热图和放射环的关联层次数据可视化方法[J].计算机辅助设计与图形学学报,2016,28(7):1075-1083.
[17]ZHAO H,LU L.Variational circular treemaps for interactive visualization of hierarchical data[C]∥2015 IEEE Pacific Visua-lization Symposium (PacificVis).IEEE,2015.
[18]FUA Y H,WARD M O,RUNDENSTEINERE A.Hierarchical parallel coordinates for exploration of large datasets[C]∥Conf.on Visualization’99:Celebrating Ten Years.IEEE Computer Society Press,1999:43-50.
[19]CLAESSEN J H T,VAN WIJK J J.Flexible linked axes for multivariate data visualization[J].IEEE Trans.on Visualization and Computer Graphics,2011,17(12):2310-2316.
[20]SLINGSB Y A,DYKES J,WOOD J.Exploring uncertainty in geodemographics with interactive graphics[J].IEEE Trans.on Visualizationand Computer Graphics,2011,17(12):2545-2554.
[21]WATANABE A,ITOH T,CHIBA K,et al.A Scatterplots Selection Technique for Multi-dimensional Data Visualization Combining with Parallel Coordinate Plots[C]∥InformationVi-sualisation.IEEE,2017.
[22]DONG Z,WEI Y M.Visualization of Multivariate Time Series Data Using Parallel Coordinate System[J].Journal of Chinese Computer Systems,2015,36(10):2408-2411.(in Chinese)
董重,魏迎梅.运用平行坐标系的多变元时序数据可视化方法[J].小型微型计算机系统,2015,36(10):2408-2411.
[23]CHEN Y,GENG Y G,HU H Y,et al.A Visualization Method for Multidimensional Attributes in Hierarchical Structures[J].Journal of Software,2016,27(5):1091-1102.(in Chinese)
陈谊,甄远刚,胡海云,等.一种层次结构中多维属性的可视化方法[J].软件学报,2016,27(5):1091-1102.
[24]CHEN Y,CHENG X,CHEN H.A multidimensional data vi- sualization method based on parallel coordinates and enhanced ring[C]∥International Conference on Computer Science and Network Technology.IEEE,2011:2224-2229.

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Visualization Method for University Teachers’ Performance Data Based on Mixed Layout Strategy

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