Learning analytics (LA) provides data-driven feedback that aims to improve learning and inform action. For learners, LA-based feedback may scaffold self-regulated learning skills, which are crucial to learning success. For teachers, LA-based feedback may help the evaluation of teaching effects and the need for interventions. However, the current development of LA has presented problems related to the cognitive, social-affective, and structural dimensions of feedback. In light of this, this position paper argues that attention needs to shift from the design of LA as a feedback product to one that facilitates a process in which both teachers and students play active roles in meaning-making. To this end, implications for feedback literacy in the context of LA are discussed.
翻译:学习分析(LA)提供数据驱动反馈,目的是改进学习和提供信息行动;对学习者来说,LA的反馈可能考虑到自我调节的学习技能,这对学习成功至关重要;对教师来说,LA的反馈可能有助于评估教学效果和干预需要;然而,LA的当前发展带来了与反馈的认知、社会情感和结构层面有关的问题;鉴于这一点,本立场文件认为,需要将注意力从设计LA作为反馈产品转向促进教师和学生在意义制定过程中发挥积极作用的过程;为此,讨论了LA背景下反馈扫盲的影响。