Motivation of higher education students in learning management systems: from theoretical foundations to pedagogical practice

Abstract

The article presents a comprehensive theoretical analysis of the problem of motivation of higher education students in learning management systems (LMS). The psycho-pedagogical essence of learning motivation as a multidimensional dynamic phenomenon is revealed; its structural components in the context of educational digitalization are analyzed; the typology and factors of motivation formation in the digital educational environment are systematized. The structure of learning motivation is conceptualized as an integrated five-component system encompassing motivational-axiological, cognitive, emotional-volitional, behavioral, and reflective dimensions, each acquiring specific characteristics in the online learning context. The typology of motivation is differentiated by source of origin (intrinsic/extrinsic), orientation (achievement/avoidance), temporal perspective (situational/stable), and subject focus (technological, content-based, communicative, and outcome-oriented). Formation factors are systematized across macro-, meso-, and micro-levels. The conceptual understanding of LMS as a complex sociotechnical environment that actively influences motivational processes through architectural decisions, functional capabilities, and pedagogical design is substantiated. The motivational potential of modular course structure, adaptive learning systems, quality multimedia content, immediate and personalized feedback, collaborative tools, and learning analytics dashboards is identified. The specific challenges of the digital educational environment — including technostress, digital divide, social isolation, cognitive overload, and the paradox of choice — are examined as constraints on motivational sustainability. The article draws on classical motivational theories — including Self-Determination Theory (Deci & Ryan), Bandura's self-efficacy concept, and Csikszentmihalyi's flow theory — and adapts them to the realities of digital learning. The findings provide a theoretical foundation for developing evidence-based models of motivation formation and maintenance within LMS contexts.