New research published in Nature explores how artificial intelligence in education can enhance student engagement by examining the role of teacher support and achievement goals. Drawing on goal-setting theory, the study suggests that structured guidance from educators and the alignment of learning objectives with students’ aspirations may significantly influence motivation and performance in AI-assisted environments. Findings highlight how different types of goals—such as mastery or performance-oriented targets—interact with AI tools to shape engagement levels. The insights could offer educators practical strategies for optimizing AI integration in classrooms.
Explaining learning engagement in AI-assisted learning through teacher support and achievement goals: insights from goal-setting theory Nature
