Construction and Application of Knowledge Graph-Empowered POA Teaching Model

Abstract

The digital transformation of education, propelled by technologies like AI and big data, has led to a proliferation of online learning platforms. However, abundant digital resources has arouse the challenges of low learning engagement and insufficient personalized learning. To address the challenges, this study proposes the construction and application of knowledge graph empowered POA (Production-Oriented Approach) teaching model to provide personalized learning for English listening course. By constructing knowledge graph empowered POA teaching model and and apply it into empirical study, it is to provide students with knowledge they need and optimize their personalized learning paths so as to ensure their learning engagement. Specifically, in this study, knowledge graph about English numbers in listening teaching is constructed, by implementing POA model embedded in UMOOCs and Chaoxing Xue Xitong, learning data are collected in pre-class, in-class, and post-class activities. Relying on the collection and analysis of dynamic data, students’ learning profiles are generated to reflect their learning status and ability levels. In the knowledge graph-empowered POA teaching model, students can personalize their learning according to their status by choosing the knowledge they need, thus improving learning engagement. This approach optimizes the allocation of teaching resources, drives personalized learning, and effectively improves teaching quality.