教育大数据的深度认知、实践案例与趋势展望--2017年“教育大数据应用技术”国际学术研讨会评述  

Deep Understanding,Practical Cases,Trends and Prospects in Educational Big Data——Review of 2017 International Research Symposium on Educational Big Data Application Technology

作　　者：吴忭[1] 顾小清[1] WU Bian;GU Xiaoqing

机构地区：[1]华东师范大学教育信息技术学系

出　　处：《现代远程教育研究》2017年第3期11-17,共7页Modern Distance Education Research

基　　金：2016年度教育部人文社会科学研究青年基金项目“协作问题解决能力在线测评研究”(16YJC880085)研究成果

摘　　要：由华东师范大学-北德克萨斯大学教育技术联合实验室主办的"教育大数据应用技术"国际学术研讨会于2017年3月20-21日在华东师范大学举行。与会嘉宾围绕教育大数据的深度认知、实践案例和应用趋势展开深入探讨。在深度认知方面:大数据的本质是数据的汇聚和关联,互联网为大数据的汇聚、变现和研究提供了良好的平台,"互联网+教育"的真正意义在于促进教育的转型升级。教育大数据将重构教育生态系统,宏观层面为教育决策提供科学依据,中观层面推进教学管理和评价的创新实践,微观层面为个性化教学提供精准支持。在实践案例方面:教育大数据应用离不开新技术的广泛支持,多模态学习分析技术、大数据驱动的教育研究范式转移和跨学科研究成为教育大数据深入应用的重要支撑手段和研究领域。在趋势展望方面:大数据模型驱动的科学研究将成为一种新的研究范式,教育神经科学将为现代教育学尤其是学习科学研究提供新的方法论指导,跨学科研究将为拓展数据来源、丰富研究方法、提炼新的研究问题和实现理论创新提供重要途径。研究者需谨记,教育本身充满了复杂性,对大数据技术应用应持一种更加谨慎的态度,不宜过分夸大新技术对教育的影响。International Research Symposium on Educational Big Data Application Technology was held inEast China Normal University from March the20th to the21st,2017.The symposium was co-organized by the jointlab of educational technology of East China Normal University and North Texas University.Participants carried anin-depth discussion on deep understanding,practical cases,trends and prospects in this field.On the aspect ofdeep understanding,the nature of big data is data aggregation and connectivity;Internet provides an ideal platformfor big data aggregation,liquidation,and research;and the real meaning of Internet plus education is to facilitateeducational transformation and upgrading.Educational big data will restructure education ecosystem on three levels,that is,providing scientific evidence for educational decision-making on macro level,driving innovative practice ineducational management and evaluation on meso level and offering precise support for individualized instruction onmicro level.Regarding practical cases,application of educational big data cannot become reality without the widesupport of new technology.Multimodal learning analytics,big-data-driven educational research paradigm shift,andcross-disciplinary research become three emerging research directions and will catalyze further application ofeducational big data.As trends and prospects were concerned,it will become a new research paradigm to drive scientific research by using big data model;educational neuroscience will offer new methodology for moderneducation especially learning science studies;cross-disciplinary studies will expand data resources,enrich researchmethods,distill new research questions,and enlighten theoretical innovation.Last but not least,researchers shouldremember in mind that education is a complex system.Therefore,we should be more cautious about big dataapplication in education and keep from exaggerating the impact of new technology on education.

关 键 词：教育大数据 深度认知 实践案例 趋势展望 学习分析 范式转移 

分 类 号：G434[文化科学—教育学]