高校预警教育业务流程的优化——以H学院为例
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摘要
文章首先基于BPR理论,针对当前高校预警教育中存在的问题,对当前的预警教育业务流程进行了优化,设计了一种高效的动态循环型预警教育业务流程。随后,文章基于现代信息技术,提出了包括基础数据、关键算法、技术保障等三个环节的高校预警教育业务流程优化的解决方案。最后,文章以H学院为例,进行了预警教育业务流程优化前后的效益对比分析。文章的研究结果有利于提升预警业务流程的整体效率,促进高校预警教育管理的精准化与高效化,对转变预警教育业务流程的管理视角、提高学生学业的成功率等具有应用价值。
Based on the Business Process Reengineering(BPR) theory, this paper firstly optimized the current business process of early warning education, and further designed an efficiently dynamic and cyclic business process of early warning education, aiming at the current problems existingin early warning education in colleges and universities. Secondly, based on the modern information technology, the asolution that including such links as basic data, key algorithm, and technological support was proposed to optimize the business process of early warning education. Finally, by taking the H College as an example, this paper compared and analyzed the benefits of business process of early warning education before and after optimization. The results of this paper were beneficial to improving the overall efficiency of business process of early warning education and promoting the precision and high-efficiency of early warning education management in colleges and universities, and had application value in transforming the management perspective of the business process of early warning education and improving the students' academic success rate.
Based on the Business Process Reengineering(BPR) theory, this paper firstly optimized the current business process of early warning education, and further designed an efficiently dynamic and cyclic business process of early warning education, aiming at the current problems existingin early warning education in colleges and universities. Secondly, based on the modern information technology, the asolution that including such links as basic data, key algorithm, and technological support was proposed to optimize the business process of early warning education. Finally, by taking the H College as an example, this paper compared and analyzed the benefits of business process of early warning education before and after optimization. The results of this paper were beneficial to improving the overall efficiency of business process of early warning education and promoting the precision and high-efficiency of early warning education management in colleges and universities, and had application value in transforming the management perspective of the business process of early warning education and improving the students' academic success rate.
引文
[1]孙蔚闻.基于BPR理论的高职院校设备管理流程优化[J].池州学院学报,2010,(2):137-139.
[2]汪小洲,洪晓军,周国君,等.业务流程再造在美国高等教育中的应用及启示[J].高等农业教育,2006,(10):89-92.
[3]Khairnar R.Business process re-engineering and information technology in the educational sector[J].International Journal of Application or Innovation in Engineering&Management,2015,(7):52-57.
[4]Ahmad H,Francis A,Zairi M.Business process reengineering:critical success factors in higher education[J].Business Process Management Journal,2007,(3):451-469.
[5]Abdous M,He W.A framework for process reengineering in higher education:A case study of distance learning exam scheduling and distribution[J].International Review of Research in Open&Distance Learning,2008,(3):1-12.
[6]朱军.业务流程再造在高校教学管理中的应用研究[D].天津:天津科技大学,2009:10-60.
[7]时誉玮.H高校考务管理流程再造研究[D].哈尔滨:哈尔滨工业大学,2015:9-56.
[8]何峰,何志诚,杨永红.业务流程再造理论在高校院系学生分会改革中的应用[J].中国培训,2016,(8):281-283.
[9]魏顺平.学习分析技术:挖掘大数据时代下教育数据的价值[J].现代教育技术,2013,(2):5-11.
[10]魏顺平,韩艳辉,王丽娜.基于学习过程数据挖掘与分析的在线教学反思研究[J].现代教育技术,2015,(6):89-95.
[11]Rangel V S,Bell E R,Monroy C,et al.Toward a new approach to the evaluation of a digital curriculum using learning analytics[J].Journal of Research on Technology in Education,2015,(2):89-104.
[12]李振超,陈琳,郑旭东.大数据理念下的发展性学习评价系统设计研究[J].现代教育技术,2015,(6):108-114.
[13]杨现民,唐斯斯,李冀红.发展教育大数据:内涵、价值和挑战[J].现代远程教育研究,2016,(1):50-61.
[14]Pistilli M D,Arnold K E.Purdue signals:Mining real-time academic data to enhance student success[J].About Campus,2010,(3):22-24.
[15]Pistilli M D.Course signals at Purdue:Using analytics to improve student success[J].Journal of Medieval&Early Modern Studies,2013,(1):201-224.
[16]Bainbridge J,Melitski J,Zahradnik A,et al.Using learning analytics to predict at-risk students in online graduate public affairs and administration education[J].Journal of Public Affairs Education,2015,(2):247-262.
[17]Geraldine G,Colm M,Philip O,et al.Learning factor models of students at risk of failing in the early stage of tertiary education[J].Journal of Learning Analytics,2016,(2):330-372.
[18]Casey K,Azcona D.Utilizing student activity patterns to predict performance[J].International Journal of Educational Technology in Higher Education,2017,(1):1-15.
[2]汪小洲,洪晓军,周国君,等.业务流程再造在美国高等教育中的应用及启示[J].高等农业教育,2006,(10):89-92.
[3]Khairnar R.Business process re-engineering and information technology in the educational sector[J].International Journal of Application or Innovation in Engineering&Management,2015,(7):52-57.
[4]Ahmad H,Francis A,Zairi M.Business process reengineering:critical success factors in higher education[J].Business Process Management Journal,2007,(3):451-469.
[5]Abdous M,He W.A framework for process reengineering in higher education:A case study of distance learning exam scheduling and distribution[J].International Review of Research in Open&Distance Learning,2008,(3):1-12.
[6]朱军.业务流程再造在高校教学管理中的应用研究[D].天津:天津科技大学,2009:10-60.
[7]时誉玮.H高校考务管理流程再造研究[D].哈尔滨:哈尔滨工业大学,2015:9-56.
[8]何峰,何志诚,杨永红.业务流程再造理论在高校院系学生分会改革中的应用[J].中国培训,2016,(8):281-283.
[9]魏顺平.学习分析技术:挖掘大数据时代下教育数据的价值[J].现代教育技术,2013,(2):5-11.
[10]魏顺平,韩艳辉,王丽娜.基于学习过程数据挖掘与分析的在线教学反思研究[J].现代教育技术,2015,(6):89-95.
[11]Rangel V S,Bell E R,Monroy C,et al.Toward a new approach to the evaluation of a digital curriculum using learning analytics[J].Journal of Research on Technology in Education,2015,(2):89-104.
[12]李振超,陈琳,郑旭东.大数据理念下的发展性学习评价系统设计研究[J].现代教育技术,2015,(6):108-114.
[13]杨现民,唐斯斯,李冀红.发展教育大数据:内涵、价值和挑战[J].现代远程教育研究,2016,(1):50-61.
[14]Pistilli M D,Arnold K E.Purdue signals:Mining real-time academic data to enhance student success[J].About Campus,2010,(3):22-24.
[15]Pistilli M D.Course signals at Purdue:Using analytics to improve student success[J].Journal of Medieval&Early Modern Studies,2013,(1):201-224.
[16]Bainbridge J,Melitski J,Zahradnik A,et al.Using learning analytics to predict at-risk students in online graduate public affairs and administration education[J].Journal of Public Affairs Education,2015,(2):247-262.
[17]Geraldine G,Colm M,Philip O,et al.Learning factor models of students at risk of failing in the early stage of tertiary education[J].Journal of Learning Analytics,2016,(2):330-372.
[18]Casey K,Azcona D.Utilizing student activity patterns to predict performance[J].International Journal of Educational Technology in Higher Education,2017,(1):1-15.