欧洲高校学习分析政策框架解读

The Interpretation of Policy Framework for Learning Analysis in European Higher Education Institutions

学习分析是“大数据”在教育领域的应用,有利于解释学习行为、评估影响因素、提供个性化反馈,进而促进创新提升质量。欧洲“支持高等教育整合学习分析”项目组立足各国院校发展现状,将快速结果映射模型的六项维度即描摹政策情境、确认主要利益相关者、明确预期行为变化、制定参与战略、分析内部能力以及建立监督和学习体系,与行动、挑战及政策三个领域相互结合,从而提出了理论架构并选取典型案例予以阐释。总之,高校学习分析政策应立足技术与制度的相互结合,借助多重维度的共同支撑并依托丰富多样的高校实践。

Learning analysis is the application of big data in the field of education,and is helpful to explain learning behavior,evaluate influencing factors,provide personalized feedback,and promote innovation and improve quality.Basing on the current situation of universities and colleges,the European research project team“Supporting Higher Education to Integrate Learning Analytics”combines six dimensions of Rapid Outcome Mapping Approach,which are mapping political context,identifying key stakeholders,clarifying desired behavior changes,formulating engagement strategy,analyzing internal capacity and establishing monitoring and learning framework.Based on the three fields of action,challenge and policy,a theoretical framework is proposed and typical cases are selected for interpretation.In short,university learning analysis policies should be based on the combination of technology and system,with the help of multiple dimensions of joint support and relying on rich and diverse university practices.