Generative Artificial Intelligence Empowering Learning Analytics:Value Implications,Practical Framework and Developmental Direction
Generative AI is emerging in the field of education,and its outstanding performance in data processing,analysis and generation provides an important opportunity to solve the problems of insufficient stakeholder literacy and weak technical credibility faced by learning analytics,which is of far-reaching significance for deepening the reform of education evaluation.However,the value connotation,practical framework and development direction of generative AI-enabled learning analytics are still unclear.Therefore,the study first analyses the value connotation of generative AI-enabled learning analytics from the dual perspectives of"technological application"and"instrumental use".Secondly,it constructs and explains the practical framework of generative AI-enabled learning analytics from four aspects of establishing goals,data collection,data processing and analysis,and intelligent application,so as to provide reference for the practice of learning analytics.Finally,based on the current situation of generative AI-enabled learning analytics,the study concludes that in the future,it is necessary to pay attention to the cultivation of intelligent literacy for moving to the learning analytics paradigm of human-intelligence synergy,focus on the compatibility of multiple technologies in order to promote the innovative development of analytical transformation cultivation and emphasize the analytical ethical norms in order to promote the construction of a credible learning analytics ecosystem.
Generative Artificial IntelligenceLearning AnalyticsValue ConnotationsPractical FrameworkDevelopment Direction
万方数据
维普
