Exploring the factors influencing college students' learning satisfaction in generative AI-supported MOOCs learning environment: a learning experience framework perspective.

ABSTRACT:

Introduction

Massive Open Online Courses (MOOCs) are gradually integrating GenAI technologies to provide personalized support. However, the mechanisms underlying the factors influencing learners' satisfaction in GenAI-supported MOOCs remain unclear. Under learning experience perspective, this study constructs a model of factors influencing college students' learning satisfaction (LS) that includes four dimensions: GenAI-supported MOOC learning environment (LE), teacher-student interaction (TSI), student-student interaction (SSI) and learning outcomes (LO).

Method

Data from 402 college students' questionnaires were collected in GenAI-supported MOOC courses, which was analyzed by IBM SPSS 25 and AMOS 26 software platforms. A structural equation model (SEM) was used to validate

SUBMITTER: Lv P 

PROVIDER: S-EPMC12597930 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature