Research on the Current Status and Development of Data-Driven Learning Evaluation in the Era of Digital Intelligence
The integration of digital intelligence technology with educational instruction in the process of educational digit-al transformation has made data-driven learning evaluation a reality.This study analyzes the value and current state of data-driven learning evaluation and finds that current evaluations tend to focus more on extracurricular data than classroom data,offer delayed feedback rather than real-time feedback,and prioritize clustering over customized recommendations.The digit-al intelligence era urgently requires the exploration of new developments in learning evaluation to cultivate learners'digital literacy.Based on this,the research suggests that new developments in data-driven learning evaluation should be promoted by establishing competency-oriented evaluation standards,constructing a data-linked learning platform,reinforcing an edu-cation concept centered on character building,forming a unified data protection mechanism,and optimizing technology to address current evaluation bottlenecks.
learning evaluationera of digital intelligencedata-driven
NETL
NSTL
万方数据
