Development and Validation of a GenAI-Based Self-Regulated Learning Questionnaire for Second Language Education: Examining the Mediating Role of L2 Self-Efficacy

• In Event: AERA Roundtable Session Saturday 5:10 pm Four Seasons Ballroom 2-3
  In Roundtable Session: Emerging Perspectives on Self-Regulated Learning (Table 11)

Abstract

Limited research has examined how L2 learners use generative AI to self-regulate their learning and its relationship with L2 self-efficacy and L2 interest. This study developed and validated the Generative AI-based Self-regulated L2 Learning Questionnaire (GAISRLLQ), comprising five dimensions: goal setting, goal attainment, interaction strategy, academic integrity, and self-evaluation. Data from 214 Chinese EFL students revealed these dimensions accounted for 67.3% of the scale's total variance. Descriptive analysis showed students most frequently regulated academic integrity, but paid least attention to interaction strategy. Importantly, the study found L2 self-efficacy mediated the relationship between L2 interest and GAISRLL, providing insights into the underlying mechanisms. These findings can contribute to students’ effective use of GenAI in L2 learning.

Authors

• Lin Liu, The University of Hong Kong

• Aiqing Yu, Southwest Jiaotong University

• Guanyao Xu, Xihua University