Generative AI–social media coordinated learning and university students' psychological well-being: dual pathways and the buffering role of perceived support
Yu Chen, Guanxi Chen, Jiajun Chen

TL;DR
This study explores how the use of generative AI and social media in university learning affects students' psychological well-being, finding both positive and negative effects.
Contribution
The study introduces the concept of Intelligent Media–Coordinated Learning Experience (IMCLE) and examines its dual impact on psychological outcomes.
Findings
IMCLE cues positively predict collaborative learning, which enhances psychological well-being.
IMCLE cues also predict psychological distress, which indirectly affects well-being.
Perceived support moderates the negative effects of IMCLE on distress and well-being.
Abstract
Generative artificial intelligence (GAI) and social media are increasingly integrated in university learning, reshaping collaboration and psychological outcomes. This study proposes Intelligent Media–Coordinated Learning Experience (IMCLE) to capture perceived coordination quality in GAI–social media learning, including empowerment effectiveness, collaboration facilitation, feedback visibility, and boundary safety. Using two-wave survey data from Chinese university students, we applied an explanation–prediction–necessity strategy integrating PLS-SEM, artificial neural networks (ANN), and necessary condition analysis (NCA). We examined how IMCLE cues relate to collaborative learning (CL), psychological distress (PD), and psychological well-being (PWB), with perceived support (PSup) as a moderator. All IMCLE cues positively predicted CL, which in turn enhanced PWB. IMCLE cues also…
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Taxonomy
TopicsDigital Mental Health Interventions · Impact of Technology on Adolescents · Innovative Teaching and Learning Methods
