Data Storytelling:A New Approach to Comprehensive Quality Evaluation of Students in the Digital Age
With the in-depth advancement of digital transformation in educational evaluation,data,characterized by its intu-itive accuracy,richness,and efficiency,has become a revolutionary force in the evaluation of students'comprehensive quality.In this context,how to present and explore the potential value of data in comprehensive quality evaluation has emerged as a new challenge in the digital era.Data storytelling,known as the"last mile"problem in data science,aims to shift our understanding of data from a sur-face perception to a deeper understanding through a narrative approach.It has the advantages of being memorable,comprehensible,and experiential,presenting data on students'qualities in the form of stories and serving as a key driver of innovation in comprehen-sive quality evaluation.Based on this,the study constructs a framework for students'comprehensive quality evaluation supported by data storytelling and elaborates on its practical implementation.This framework includes four stages:data collection,data analysis,story presentation,and user action.Each stage overlaps and progresses,collectively empowering the input,analysis,output,and feed-back of comprehensive quality evaluation.This not only promotes a more scientific approach to comprehensive quality evaluation but also fully demonstrates its humanistic value,helping evaluators maximize the potential value of assessment data,truly understand stu-dents,and focus on their continuous growth.
Digital AgeData StorytellingEducational EvaluationStudent EvaluationComprehensive Quality Evaluation
万方数据
维普
