[1] BIENKOWSKI M, FENG M, MEANS B.Enhancing teaching and learning through educational data mining and learning analytics:An issue brief[R].Washington,D.C.:U.S.Department of Education,2012:1-57. [2] 国务院关于印发促进大数据发展行动纲要的通知[EB/OL].(2015-09-05)[2020-01-29].http://www.gov.cn/zhengce/content/2015-09/05/content_10137.htm. [3] COX M, ELLSWORTH D.Application-controlled demand paging for out-of-core visualization[C]//MOORHAD R, JOHNSTON N. Proceedings of Visualization'97.Piscataway:IEEE, 1997:235-244. [4] MANYIKA J, CHUI M, BROWN B, et al.Big data:The next frontier for innovation, competition, and productivity[R].Chicago:McKinsey Company, 2011. [5] BEYER M A, LANEY D.The importance of "big data":A definition[EB/OL].(2012-06-21)[2020-02-23].https://www.gartner.com/en/documents/2057415. [6] 丁小浩.大数据时代的教育研究[J].清华大学教育研究,2017,38(5):8-14. [7] DE MAURO A, GRECO M, GRIMALDI M.What is big data? A consensual definition and a review of key research topics[C]//GIANNAKOPOULOS G, SAKAS D P, KYRIAKI-MANESSI D.Proceeding of the 4th International Conference on Intergrated Information (IC-ININFO 2014).Madrid:AIP,2015,1644(1):97-104. [8] 朱扬勇,熊赟.大数据是数据、技术,还是应用[J].大数据,2015,1(1):78-88. [9] CHEN H, CHIANG R H L, STOREY V C.Business intelligence and analytics:From big data to big impact[J].MIS Quarterly,2012,36(4):1165-1188. [10] LIÑÁN L C, PÉREZ Á A J.Educational data mining and learning analytics:Differences, similarities, and time evolution[J].International Journal of Educational Technology in Higher Education,2015,12(3):98-112. [11] GANDOMI A,HAIDER M.Beyond the hype:Big data concepts,methods,and analytics[J].International Journal of Information Management,2015,35(2):137-144. [12] KALOTA F.Applications of big data in education[J].International Journal of Social,Behavioral,Educational,Economic,Business and Industrial Engineering,2015,9(5):1602-1607. [13] DEVASIA T, VINUSHREE T P, HEGDE V.Prediction of students performance using educational data mining[C]//RAJESHA R. Proceedings of 2016 International Conference on Data Mining and Advanced Computing(SAPIENCE).Piscataway:IEEE,2016. [14] YADAV S K,PAL S.Data mining:A prediction for performance improvement of engineering students using classification[J].World of Computer Science and Information Technology Journal,2012,2(2):51-56. [15] ANTONENKO P D,TOY S,NIEDERHAUSER D S.Using cluster analysis for data mining in educational technology research[J].Educational Technology Research and Development,2012,60(3):383-398. [16] 蒲飞,赵正辉,涂旭东,等.基于校园一卡通数据的贫困学生消费异常数据检测分析[J].电子测试,2018(6):58-60. [17] 赵学孔,龙世荣.基于用户学习路径分析的教育资源个性化推荐研究[J].大学教育,2019(10):107-110. [18] 刘三女牙,彭晛,刘智,等.基于文本挖掘的学习分析应用研究[J].电化教育研究,2016,37(2):23-30. [19] HRABOWSKI F A,SUESS J,FRITZ J.Assessment and analytics in institutional transformation[J].Educause Review,2011,46(5):14-16. [20] TULASI B.Significance of big data and analytics in higher education[J].International Journal of Computer Applications,2013,68(14):21-23. [21] 李燕,陈伟,张淑林.大数据在高等教育领域应用的探析[J].电子科技大学学报(社科版),2018,20(2):102-108. [22] 孙洪涛,郑勤华.教育大数据的核心技术,应用现状与发展趋势[J].远程教育杂志,2016,34(5):41-49. [23] DANIEL B.Big data and analytics in higher education:Opportunities and challenges[J].British Journal of Educational Technology,2015,46(5):904-920. [24] WANG Y.Big opportunities and big concerns of big data in education[J].Tech Trends,2016,60(4):381-384. [25] 刘凤娟.大数据的教育应用研究综述[J].现代教育技术,2014,24(8):13-19. [26] 朱成晨,闫广芬.现代化与专业化:大数据时代教育评价的新技术推进逻辑[J].清华大学教育研究,2018,39(5):75-80. [27] 朱德全,马新星.新技术推动专业化:大数据时代教育评价变革的逻辑理路[J].清华大学教育研究,2019,40(1):5-7. [28] 朱德全,吴虑.大数据时代教育评价专业化何以可能:第四范式视角[J].现代远程教育研究,2019,31(6):14-21. [29] REED E,SCULL J,SLICKER G,et al.Defining strong state sccountability systems:How can better standards gain greater traction? A first look[EB/OL].(2012-04)[2020-02-23].https://eric.ed.gov/?id=ED532505. [30] VEIDERPASS A,MCKELVEY M.Evaluating the performance of higher education institutions in Europe:A nonparametric efficiency analysis of 944 institutions[J].Applied Economics,2016,48(16):1504-1514. [31] 徐镇凯,温勇兵,魏博文,等.基于大数据多层变权云计算的高校工科教师授课质量综合评价[J].现代教育管理,2016(9):93-96. [32] 郭炯,郑晓俊.基于大数据的学习分析研究综述[J].中国电化教育,2017(1):121-130. [33] 王良周,于卫红.大数据视角下的学习分析综述[J].中国远程教育,2015(3):31-37. [34] 张家华,邹琴,祝智庭.国内近五年学习分析研究现状的可视化综述[J].浙江师范大学学报(社会科学版),2017,42(1):117-124. [35] 舒忠梅,屈琼斐.基于教育数据挖掘的大学生学习成果分析[J].东北大学学报(社会科学版),2014,16(3):309-314. [36] ZHOU M,WINNE P H.Modeling academic achievement by self-reported versus traced goal orientation[J].Learning and Instruction,2012,22(6):413-419. [37] D'AQUIN M,JAY N.Interpreting data mining results with linked data for learning analytics:motivation,case study and directions[C]//SUTHERS D, VERBERT K, DUVALE, et al.Proceedings of the Third International Conference on Learning Analytics and Knowledge.New York:Association for Computing Machinery,2013:155-164. [38] 陆根书,刘秀英.常规和在线学习情景下学生投入特征及类型——基于西安交通大学大学生学习经历调查数据[J].高等工程教育研究,2017(3):135-142. [39] KINNEBREW J S,BISWAS G.Identifying learning behaviors by contextualizing differential sequence mining with action features and performance evolution[C]//YACEF K, ZAIANE O, HERSHKOVITZ A,et al.Proceedings of the Fifth Internatinal Conference on Educational Data Mining.Chania:International Educational Data Mining Society,2012:19-21. [40] 王战军.构建研究生教育质量保障体系——理念、框架、内容[J].研究生教育研究,2015(1):1-5. [41] 陈静,张其敏.研究生教育质量评估中的第三方参与问题研究[J].学位与研究生教育,2015(3):6-10. [42] 王海英.研究生教育质量评价研究的现状、特征及展望——基于对1986-2016年研究文献的述评[J].研究生教育研究,2016(6):67-72. [43] 汤晓蒙,詹春燕.我国研究生教育质量评价发展研究[J].高教探索,2010(5):5-9. [44] 郑燕林,柳海民.大数据在美国教育评价中的应用路径分析[J].中国电化教育,2015(7):25-31. [45] MERGEL I.Big data in public affairs education[J].Journal of Public Affairs Education,2016,22(2):231-248. |