The Impact of Artificial Intelligence–Driven Social Media on Educational Opportunities and Curriculum Effectiveness in Higher Education

Artificial intelligence (AI)–driven social media comprises digital platforms that utilize intelligent algorithms for content personalization, adaptive interaction, analytics, and knowledge recommendation, increasingly transforming educational landscapes. This research explores how AI-driven social media generates educational opportunities and influences curriculum design, development, and implementation in higher education. Data were collected through structured questionnaires from 200 undergraduate and postgraduate learners, assessing perceptions of curriculum relevance, learning flexibility, skill development, and instructional effectiveness. Structural Equation Modeling (SEM) and Exploratory Factor Analysis (EFA) are used with SPSS to research relationships among AI-enabled social media features, Curriculum Personalization (CP), Artificial Intelligence Experience (AIx), Learning Engagement (LE), Cognitive Engagement (CE), Knowledge Retention (KR), and Learning Outcomes (LO). The results demonstrate strong model adequacy, with high explained variance (R2 = 0.794), significant regression effects (β = 0.202–0.641, p

Curriculum · Educational technology · Exploratory factor analysis · Higher education · Personalization · Social cognitive theory · Social media · Social media analytics · Structural equation modeling · Impact of Technology on Adolescents · Innovative Teaching and Learning Methods · Online Learning and Analytics