[1]吴永和,程歌星,刘博文,等.LAK 十周年:引领与塑造领域之未来——2020学习分析与知识国际会议评述[J].远程教育杂志,2020,(04):015-26.[doi:10.15881/j.cnki.cn33-1304/g4.2020.04.002]
 Wu Yonghe,Cheng Gexing,Liu Bowen,et al.Lak 10th Anniversary: Leading and Shaping the Future of the Field:Review on the 10th International Conference on Learning Analytics and Knowledge[J].Distance Education Journal,2020,(04):015-26.[doi:10.15881/j.cnki.cn33-1304/g4.2020.04.002]
点击复制

LAK 十周年:引领与塑造领域之未来——2020学习分析与知识国际会议评述()
分享到:

《远程教育杂志》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年04期
页码:
015-26
栏目:
本期特稿
出版日期:
2020-07-14

文章信息/Info

Title:
Lak 10th Anniversary: Leading and Shaping the Future of the Field:Review on the 10th International Conference on Learning Analytics and Knowledge
作者:
吴永和; 程歌星; 刘博文; 朱丽娟; 马晓玲
1.华东师范大学 教育学部 教育信息技术学系;2.华东师范大学 经济与管理学部 工商管理学院,上海 200062
Author(s):
Wu Yonghe; Cheng Gexing; Liu Bowen; Zhu Lijuan; Ma Xiaoling
1.Department of Education Information Technology,Faculty of Education,East China Normal University, Shanghai 200062;. 2.Department of Information,Faculty of Economics and Management, East China Normal University, Shanghai 200062
关键词:
学习分析 学习分析与知识国际会议理解学习评估与反馈学习分析新应用未来发展学习分析学
Keywords:
Learning Analysis International Conference on Learning Analytics and Knowledge Understanding Learning Evaluation and Feedback New Application of Learning Analysis Future Development
分类号:
G420
DOI:
10.15881/j.cnki.cn33-1304/g4.2020.04.002
文献标志码:
A
摘要:
受全球疫情影响,第十届学习分析与知识国际会议(LAK2020)于2020年3月23-27日在线召开。本次会议主题为“ LAK十年:塑造领域的未来”。大会内容体现了LAK十年(2011-2020)的主题发展及演变趋势。在重笔勾勒学习分析领域的研究现状的同时,也透视出学习分析领域的发展趋向,以充分把握学习分析领域的“过去”和“未来”。对 LAK十年发展的分析表明:从理解学习、设计学习、计算与追踪学习、评估与改进学习、学习分析之“新”五个视角来看,人工智能、虚拟现实等技术将促进学习分析领域的包容性发展;脑神经科学和学习分析的深度融合,也在推动“帮助决策”向“高阶素养”转变;学习分析研究将从局部探索转向一体化的系统级研究;达成多方利益共同体参与学习分析生态的构建;并极大地助力于未来教育。以上立足于学习分析领域自身发展,开展的对学习分析领域未来趋势的积极思考,为学习分析领域研究发展和实践应用提供了有益的借鉴。
Abstract:
Under the global influence of the 2019-nCoV, the 10th International Conference on learning analysis and knowledge (lak20) was held fully virtually from March 23 to 27, 2020. The theme of this conference is “Celebrating 10 years of LAK: Shaping the future of the field”. In order to fully grasp the “past” and “future”of the field of learning analysis, this paper not only outlines the research status of learning analysis, but also discusses its development trend.The analysis of the development and evolution of LAK2011-2020shows that:from the perspective of the“New” of understanding learning, design learning, computing and tracking learning, evaluation and improvement learning and learning analysis,artificial intelligence, virtual reality and other technologies promote inclusive development of learning analysis;the deep integration of brain neuroscience and learning analysis promote the transformation from “helping decision-making” to “high-level literacy”;the research of learning analysis will shift from local exploration to integrated systems level;reach a multi-stakeholder community to participate in the construction of learning and analysis ecology; learning analysis helps to enable future education. Based on the self-development of learning analysis, the above positive thinking on the future trend of learning analysis provides a useful reference for the research development and practical application of learning analysis.

相似文献/References:

[1]舒忠梅,徐晓东,屈琼斐,等.基于数据挖掘的学生投入模型与学习分析[J].远程教育杂志,2015,(01):039.[doi:10.15881/j.cnki.cn33-1304/g4.2015.01.004]
[2]花燕锋,张龙革.基于MOOCs的多元同心学习分析模型构建与应用研究[J].远程教育杂志,2014,(05):104.
 Hua Yanfeng,Zhang Longge.Research on Construction and?Application?of Multiplex and?Concentric?Learning Analytics Model Based on MOOCs[J].Distance Education Journal,2014,(04):104.
[3]徐 鹏,王以宁,刘艳华,等.大数据视角分析学习变革——美国《通过教育数据挖掘和学习分析促进教与学》报告解读及启示[J].远程教育杂志,2013,(06):011.
 Peng Xu,Yining Wang,Yanhua Liu,et al.An Analysis of the Learning Innovation from the Perspective of Big Data: An Analysis of the U.S. Report of Enhancing Teaching and Learning through Educational Data Mining and Learning Analytics and Its Enlightenment[J].Distance Education Journal,2013,(04):011.
[4]顾小清,胡艺龄,蔡慧英.MOOCS的本土化诉求及其应对[J].远程教育杂志,2013,(05):003.
 Gu Xiaoqing,Hu Yiling,Cai Huiying.Appeal and Response to the Development of MOOCs’ Localization in China[J].Distance Education Journal,2013,(04):003.
[5]吴永和,陈 丹,曹 盼,等.学习分析:教育信息化的新浪潮[J].远程教育杂志,2013,(04):011.
 Wu Yonghe,Chen Dan,Cao Pan,et al.Learning Analytics: The New Coming Wave of Education Information[J].Distance Education Journal,2013,(04):011.
[6]郁晓华,顾小清.学习活动流:一个学习分析的行为模型[J].远程教育杂志,2013,(04):020.
 Yu xiaohua,Gu xiaoqing.Learning Activity Streams:A Behavior Model for Learning Analytics[J].Distance Education Journal,2013,(04):020.
[7]顾小清,张进良,蔡慧英.学习分析:正在浮现中的数据技术[J].远程教育杂志,2012,(01):018.[doi:10.15881/j.cnki.cn33-1304/g4.2012.01.007]
 Gu Xiaoqing,Zhang Jinliang,Cai Huiying.Learning Analytics:The emerging data technology[J].Distance Education Journal,2012,(04):018.[doi:10.15881/j.cnki.cn33-1304/g4.2012.01.007]
[8]张进良,何高大.学习分析:助推大数据时代高校教师在线专业发展[J].远程教育杂志,2014,(01):056.[doi:10.15881/j.cnki.cn33-1304/g4.2014.01.008]
 Zhang Jinliang,& He gaoda.Learning Analytics: Boosting Online Professional Development of University Teachers in Big Data Era[J].Distance Education Journal,2014,(04):056.[doi:10.15881/j.cnki.cn33-1304/g4.2014.01.008]
[9]郁晓华,顾小清.开放教育下的学习分析——2015 AECT夏季研讨会评述与延伸[J].远程教育杂志,2015,(05):014.[doi:10.15881/j.cnki.cn33-1304/g4.2015.05.002]
 Yu Xiaohua,Gu Xiaoqing.Learning Analytics in Open Education: A Review and Reflection on 2015 AECT Summer International Research Symposium[J].Distance Education Journal,2015,(04):014.[doi:10.15881/j.cnki.cn33-1304/g4.2015.05.002]
[10]牟智佳,俞 显.知识图谱分析视角下学习分析的学术群体与热点追踪——对历年“学习分析与知识国际会议”的元分析[J].远程教育杂志,2016,(02):054.[doi:10.15881/j.cnki.cn33-1304/g4.2016.02.008]
 Mou Zhijia,Yu Xian.The Academic Groups and Hotspots of Learning Analytics from the Perspective of Knowledge Map: A Meta-analysis of International Conference on Learning Analytics and Knowledge over the Years[J].Distance Education Journal,2016,(04):054.[doi:10.15881/j.cnki.cn33-1304/g4.2016.02.008]

备注/Memo

备注/Memo:
基金项目:本文系教育部人文社科一般课题“数据驱动的STEAM教育精准评价模型构建与应用研究”(项目编号:20YJA880057);上海高校智库内涵建设计划项目“教育信息化2.0视域下STEAM教育理论与实践创新研究”(项目编号:20ZKNH012);上海市浦江人才计划项目“基于教育大数据的学习分析教育应用创新研究”(项目号:14PJC034);认知智能国家重点实验室智能教育开放课题 “基于大数据的学生学习行为分析及教学干预研究” (项目编号:14108-412321-19364)的研究成果。
更新日期/Last Update: 1900-01-01