Mechanisms of Adaptive Learning System User Experience on Academic Performance of Chinese Middle School Students (Poster 38)

• In Event: AERA Poster Session Sunday 11:40 a.m.
  In Poster Session: Learning Environments and Pedagogical Strategies

Abstract

As a crucial component of online education in the post-epidemic era, adaptive learning system (ALS) has widely permeated primary and secondary education. It is essential to gain a deep understanding of how ALS impacts academic performance. This study explores the mechanisms of ALS user experience on academic performance. Using Structural Equation Modeling (SEM), the study analyzes survey data from 603 middle school students in Shenzhen, China. The results indicate that ALS user experience positively impacts students' academic performance, mediated by self-regulated learning and moderated by academic emotions. These findings offer valuable insights into unraveling the black box of influence mechanisms and provide practical guidance for effectively utilizing ALS to enhance educational outcomes in primary and secondary schools.

Authors

• Chenyu Cao, East China Normal University

• Feiye Wang, East China Normal University

• Zhenni Cai, East China Normal University