科学基金资助F0701的科学计量分析
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摘要
2018年,科学基金信息科学领域增设"教育信息科学与技术"申请代码(F0701)资助教育科学基础研究。基于首批F0701科学基金申请与资助项目数据的科学计量分析显示:申请项目涵盖了个性化教学、教育大数据、机器学习、增强现实、教育机器人、学习评测、交互学习、数字资源、协同学习、资源配置等10个主题聚类。研究发现,目前的教育信息科学与技术研究仍处于技术迁移期,主要以信息领域向教育领域渗透的研究工作为主,但对教育领域的重大关键科学问题缺乏深刻凝练,深度交叉融合不足。建议研究者加强对自然科学研究范式的运用、增强研究团队的交叉融合、提高凝练科学问题的能力;建议科学基金进一步充实完善申请代码,引导评审专家根据本领域项目申请的特点进行评估,提高资助率并加大支持力度,促进我国教育信息科学与技术领域整体研究水平的提升。
National Natural Science Foundation of China(NSFC) added a new application code F0701 for Educational Information Science and Technology in the year of 2018. This study carried out scientometrics analysis on the application and funding projects of F0701 in 2018 and find that the application project cover ten thematic clusters, namely, personalized teaching, educational big data, machine learning, augmented reality, educational robot, learning evaluation, interactive learning, digital resources, collaborative learning and resource allocation. Results show that the research of Educational Information Science and Technology is still in the period of technology migration, mainly focusing on infiltrating information technologies into the field of education, lacking deep conciseness on the key scientific issues and being deficient of deep cross fusion. Therefore, researchers should strengthen the application of natural science research paradigm, enhance the cross-integration of research teams, and improve the ability to condense scientific problems; and NSFC should further enrich and improve the code structure of F0701, guide the experts to evaluate the applications according to the project characteristics in this field, increase the funding rate and support, in order to promote the overall research level in the field of Educational Information Science and Technology of China.
National Natural Science Foundation of China(NSFC) added a new application code F0701 for Educational Information Science and Technology in the year of 2018. This study carried out scientometrics analysis on the application and funding projects of F0701 in 2018 and find that the application project cover ten thematic clusters, namely, personalized teaching, educational big data, machine learning, augmented reality, educational robot, learning evaluation, interactive learning, digital resources, collaborative learning and resource allocation. Results show that the research of Educational Information Science and Technology is still in the period of technology migration, mainly focusing on infiltrating information technologies into the field of education, lacking deep conciseness on the key scientific issues and being deficient of deep cross fusion. Therefore, researchers should strengthen the application of natural science research paradigm, enhance the cross-integration of research teams, and improve the ability to condense scientific problems; and NSFC should further enrich and improve the code structure of F0701, guide the experts to evaluate the applications according to the project characteristics in this field, increase the funding rate and support, in order to promote the overall research level in the field of Educational Information Science and Technology of China.
引文
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[23] 陈丽,王志军,郑勤华.“互联网+时代”教育技术学的学科定位与人才培养方向反思[J].电化教育研究,2017,(10):5-11.
[2] 杨东平.基础教育之问:应试教育还是素质教育——重新认识应试教育[J].北京大学教育评论,2017,14(2):1-7.
[3] 黄璐,郑永和.人工智能教育发展中的问题及建议[J].科技导报,2018,36(17):102-105.
[4] 邹晓东,韩旭,姚威.科教融合:高校办学新常态[J].高等工程教育研究,2016,(1):43-50.
[5] 国家自然科学基金委员会2018项目指南(2018)[J].http://www.nsfc.gov.cn/nsfc/cen/xmzn/2018 xmzn/01/06xx/index.html.
[6] 陈丽,郭玉娟,王怀波,等.新时代信息化进程中教育研究问题域框架[J].现代远程教育研究,2018,(1):40-46.
[7] 饶加旺,杨颜颜,马荣华,等.基于网络爬虫的数字城市研究与分析[J].计算机科学与应用,2018,8(8):1172-1182.
[8] Huang L,Zhang Y,Guo Y,et al.Four dimensional science and technology planning:A new approach based on bibliometrics and technology roadmapping[J].Technological Forecasting & Social Change,2014,81(1):39-48.
[9] 张嶷,汪雪锋,郭颖,等.基于文献计量学的技术路线图构建模型研究[J].科学学研究,2012,30(4):495-502,486.
[10] 郭颖,汪雪锋,朱东华,等.“自顶向下”的科技规划——基于专利数据和技术路线图的新方法[J].科学学研究,2012,30(3):349-358.
[11] 张嶷,汪雪锋,朱东华,等.“主题词簇”方法研究——英文科技文献主题词清洗、合并与聚类[J].科学学研究,2013,31(11):1615-1622.
[12] 宋秀芳,迟培娟.Vosviewer与Citespace应用比较研究[J].情报科学,2016,34(7):108-112,146.
[13] 周晓分,黄国彬,白雅楠.科学计量可视化软件的对比与数据预处理研究[J].图书情报工作,2013,57(23):64-72.
[14] 张璇,苏楠,杨红岗,等.2000-2011年国际电子政务的知识图谱研究——基于Citespace和VOSviewer的计量分析[J].情报杂志,2012,31(12):51-57.
[15] Alfonso ávilaRobinson,Sengoku S.Tracing the knowledge-building dynamics in new stem cell technologies through techno-scientific networks[J].Scientometrics,2017,112(3):1691-1720.
[16] Carley S,Porter A L,Rafols I,et al.Visualization of disciplinary profiles:Enhanced science overlay maps[J].Journal of Data and Information Science,2017,2(3):68-111.
[17] van Eck N J,Waltman L.Software survey:VOSviewer,a computer program for bibliometric mapping[J].Scientometrics,2010,84(2):523-538.
[18] Waltman L,Eck N J V.A smart local moving algorithm for large-scale modularity-based community detection[J].European Physical Journal B,2013,86(11):471.
[19] 陈艾华,邹晓东.资助改革研究推进教育创新——美国NSF工程教育研究项目研讨会述评[J].高等工程教育研究,2010,(4):93-99.
[20] 黄宏博,崇美英.引入类脑计算的计算机基础类课程教学方式[J].计算机教育,2017,(12):137-140.
[21] 刘祖润,曾哲昭.人工神经网络快速学习算法[J].计算机仿真,2000,17(1):22-23.
[22] 张坤颖,张家年.人工智能教育应用与研究中的新区、误区、盲区与禁区[J].远程教育杂志,2017,35(5):54-63.
[23] 陈丽,王志军,郑勤华.“互联网+时代”教育技术学的学科定位与人才培养方向反思[J].电化教育研究,2017,(10):5-11.
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