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数智融合时代学习分析技术的演进、贡献与展望——2021学习分析与知识国际会议(LAK)评述 被引量:17

The Evolution,Contribution and Prospect of Learning Analysis Technology in the Era of Data and Intelligence Fusion:A Review on the 11th International Conference on Learning Analytics and Knowledge
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摘要 进入数智融合时代,学习分析技术成为推进教育行业数智化融合发展的关键驱动力。学习分析与知识国际会议(LAK)是学习分析领域最具学术影响力的会议之一,2021学习分析与知识国际会议于4月12-16日在线召开,主题为“我们产生的影响:学习分析对学习的贡献”,大会着重关注了研究与实践并重的学习分析在追踪学习、监督学习、评价学习、优化学习和变革学习等方面的最新进展。为此,基于学习分析技术的演变历程,提出了学习分析技术成熟度模型,从助推循证教育体系构建和驱动教育数据分析革新两个层面,阐述学习分析技术对教育产生的贡献,并进一步从新机遇、新方向、新范式、新机制、新素养、新学科等“六个新”,展望行业数智化融合进程中学习分析技术的发展前景。以期为学习分析领域未来的实践研究提供指引,促进“智能+”教育的创新发展,助力教育领域的数智化转型升级。 In the era of data and intelligence fusion,learning analysis is the key driving force to promote the digital-intelligence integration development of the education.The International Conference on Learning Analysis and Knowledge(LAK)is one of the most influential conferences in the field of learning analysis.The 11 th International Conference on learning analytics and knowledge was held fully virtually from April 12 to 16,2021 with the theme“The impact we make:The contributions of learning analytics to learning”.The conference focused on the latest advances in the application of research-and-practice learning analysis to tracking,monitoring,evaluating,optimizing and transformative learning.Based on the perspective of maturity model of learning analysis technology,this paper examines the evolution of learning analysis technology,and expounds the contribution of learning analysis technology to education from two aspects:promoting the construction of evidence-based education system and driving the innovation of education data analysis.And further look forward to the development prospect of the learning analysis technology in the process of industry’s digital intelligence through the new opportunity,new direction,new paradigm,new rnechanism,new accomplishment and new discipline.It is expected to provide guidance for the future practical research in the field of learning analysis,promote the innovative development of smart education,and help the transformation and upgrading of digital intelligence in the field of education.
作者 陈雅云 郭胜男 马晓玲 吴永和 Chen Yayun;Guo Shengnan;Ma Xiaoling;Wu Yonghe(Department of Education Information Technology,Faculty of Education,East China Normal University;School of Business Administration,Faculty of Economics and Management,East China Normal University;Shanghai Xiyu Information Technology Co.,Ltd,Shanghai 200062)
出处 《远程教育杂志》 CSSCI 北大核心 2021年第4期3-15,共13页 Journal of Distance Education
基金 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) 上海市2020年度“科技创新行动计划”人工智能科技支撑专项项目“教育大数据治理体系与面向大规模智慧学习的教育大脑研究”(项目编号:20511101500)及其子课题“人工智能教育大脑研究”(项目编号:20511101503)的阶段性研究成果。
关键词 学习分析 数智融合 LAK 理解学习 优化学习 学习分析技术成熟度模型 循证教育 Learning Analysis Data and Intelligence Fusion International Conference on Learning Analytics and Knowledge(LAK) Understanding Learning Optimizing Learning Learning Analytics Maturity Model Evidence-Based Education
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