A Two-Staged SEM-ANN Approach to Predict L2 Learner Satisfaction in Chinese MOOCs: The Role of Community Presence

• In Event: AERA Poster Session Wednesday 7:45am
  In Poster Session: Emerging Topics in Second Language Research

Abstract

This study investigates satisfaction among learners from the United States in Chinese-as-a-foreign-language (CFL) MOOCs, adopting the four-dimensional Community of Inquiry (CoI) framework. A two-staged methodology combining PLS-SEM and ANN was employed to examine both the relational paths and predictive effects of teaching presence, social presence, cognitive presence, and learning presence. This study finds that cognitive presence is the strongest predictor of satisfaction. Teaching presence exerts an indirect effect through social and learning presence, while social and learning presence jointly contribute to cognitive engagement, ultimately enhancing satisfaction. This research provides theoretical and practical implications for course design in CFL in the U.S., but also offers empirical support for extending the CoI framework for understanding satisfaction mechanisms among online L2 learners.

Authors

• Yun Li, Sichuan University

• Jining Han, Southwest University

• Yuying Yang, Southwest University

• Kunran Duan, Tianfu College of SWUFE