The model’s central premise draws on Self-Determination Theory, the influential motivational framework first articulated by Edward Deci and Richard Ryan, which holds that humans thrive when three fundamental needs are met. Wang argues that smartphone bans and access limitations, while potentially reducing short-term exposure, implicitly treat adolescents as passive recipients of external control. This approach, the framework contends, overlooks both the developmental trajectory of executive function—which continues maturing into late adolescence and early adulthood through protracted refinement of prefrontal systems—and the psychological needs that determine whether regulatory goals are genuinely internalized or merely superficially complied with. When regulation is framed exclusively as external control, adolescents may comply in the short term without ever acquiring the intentional, self-directed engagement skills required for sustained attention, goal-directed technology use, and digital learning.

At the heart of DSMDS lies a distinction between two interdependent components. The first is digital literacy competence: the knowledge and meaning-making foundation of digital self-regulation. This is not merely technical proficiency but a constellation of interpretive and metacognitive capacities, including the ability to evaluate the credibility and emotional impact of content, recognize how algorithmic curation and persuasive design features such as notifications, streaks, and infinite scroll shape attention and behavior, and anticipate the longer-term consequences of digital engagement. The second component is the ensemble of regulatory strategies: the behavioral and contextual tactics through which literacy-informed understanding is enacted in real time. These range from disabling notifications and restructuring physical environments to setting time boundaries and substituting alternative activities. Within the model, literacy helps adolescents recognize what requires regulation, why it matters, and which strategies are appropriate, while successful strategy use in turn strengthens perceived competence and refines literacy over time, creating a developmental feedback loop.

The framework’s technical architecture extends to a typology of four regulatory strategy classes, each differing in how heavily it draws on executive effort versus external scaffolding. Activity-based strategies—redirecting attention toward exercise, reading, or other valued pursuits—represent the most effortful form, demanding robust inhibitory control and autonomous motivation. Context-based strategies operate by manipulating the environment itself: leaving a phone in another room eliminates access cues outright and minimizes inhibitory demands, while keeping it out of reach requires moderate executive control but preserves autonomy. Technology-supported strategies, such as Do Not Disturb modes and app timers, effectively offload executive demands onto the device while retaining agentic choice over deployment. Time-structured strategies reflect anticipatory self-regulation, integrating planning and rule-based control around sleep, academic, or well-being goals. Crucially, the model proposes that these strategies may be more likely to become self-endorsed and sustained when aligned with identified or integrated goals—protecting sleep, preserving academic focus—rather than imposed imperatives.

This motivational architecture is then situated within a rigorous account of adolescent neurodevelopment. Executive functions, including inhibitory control, cognitive flexibility, and future-oriented planning, mature gradually across adolescence as prefrontal systems increasingly coordinate with affective and reward-related circuits. Simultaneously, adolescents display heightened sensitivity to immediate rewards, salient social cues, and peer evaluation—precisely the features that dominate contemporary platform design. The model thus identifies an affective pathway in which need frustration and stress reactivity increase the likelihood of compensatory or dysregulated engagement: threats to relatedness through exclusion, to competence through social comparison, or to autonomy through feeling controlled can intensify distress and elevate the immediate appeal of digital engagement as a coping resource. Affective arousal also degrades the very prefrontal functions needed for effortful regulation, explaining why adolescents may return to social media despite endorsed intentions to disengage.

The framework is notably candid about boundary conditions. Digital literacy may remain weak or unevenly developed, leaving adolescents without the interpretive foundation to identify what needs regulating in the first place. A UNICEF multi-country study cited in the review found that adolescents in East Asia and the Pacific, though described as digitally savvy, largely used platforms for entertainment rather than knowledge acquisition, with patterns not necessarily translating into stronger critical thinking. Population-level evidence from the 2021/2022 Health Behaviour in School-aged Children survey across Europe, central Asia, and Canada showed 11 percent of adolescents classified as displaying problematic social media use—up from 7 percent in 2018—alongside 12 percent at risk of problematic gaming and 36 percent in constant online contact with others. Problematic engagement, the model argues, does not simply indicate weak literacy or motivation; it may reflect a mismatch between developing regulatory capacities and environments engineered to remove stopping cues, intensify reward, and make disengagement effortful. Peer pressure compounds this: when belonging depends on constant availability and rapid responsiveness, disengagement becomes socially costly, driving regulation through external or introjected pressures rather than autonomous self-determination.

Within this developmental logic, parental mediation is reconceived as a spectrum of scaffolding forms whose effects depend on how they are enacted rather than on whether they occur at all. Active mediation—discussing risks, explaining platform mechanics, encouraging disengagement from uncomfortable interactions—functions as collaborative motivational scaffolding that targets cognition and motivation, fostering the anticipatory control adolescents can later enact independently. Restrictive mediation serves as contextual and temporal scaffolding, reducing inhibitory demands on still-maturing executive systems, but only supports internalization when clearly justified and developmentally appropriate; arbitrary restrictions tend to remain externally regulated. Authoritarian surveillance, such as demanding passwords or monitoring private messages, represents controlling external regulation that likely thwarts autonomy and undermines trust. Non-intrusive inspection—knowing accounts, viewing public profiles, being connected as a contact—occupies a middle ground, providing accountability without eliminating agency. Timing emerges as a critical variable: withdrawing scaffolds too early increases risk exposure, while loosening restrictions abruptly after prolonged strict control can rupture trust.

Schools receive equally detailed treatment as developmental regulatory environments. The model proposes that institutional technology policies are most developmentally useful not when they merely limit access but when they combine external structure with opportunities to practice literacy, self-monitoring, and increasingly self-endorsed regulation. Concrete mechanisms include structured device-use norms paired with intentional choice windows that let students decide how technology serves academic or creative purposes; explicit instruction in attention management and critical evaluation of online content; guided reflection on when digital tools support versus undermine learning; and cooperative learning routines that distribute responsibility. When students are invited to help shape classroom norms, schools reinforce autonomy and competence simultaneously, positioning self-regulation as a skill to be developed rather than a rule to be obeyed. Peers, meanwhile, function as a proximal co-regulatory context: shared device-free periods, mutually agreed Do Not Disturb expectations, and collective boundaries around late-night messaging can distribute the regulatory burden and legitimize disengagement, whereas peer contingencies rewarding constant visibility can undermine even strong literacy.

At the distal level, the framework positions policy and platform design as higher-order scaffolds that shape how much self-regulatory burden falls on adolescents, families, and schools. Wang argues that debates framed solely around banning versus permitting access are too narrow: prohibition may reduce short-term exposure but is unlikely to support internalization unless paired with transparency, education, and conditions making self-regulation feasible in everyday contexts. More developmentally attuned policies would require safer platform design, limit manipulative features such as persistent notifications and opaque recommendation systems, increase transparency around persuasive technologies, and preserve developmentally appropriate opportunities to practice judgment and boundary-setting. Alignment across ecological layers—family, school, peers, and policy—is hypothesized to reduce regulatory burden and increase the likelihood that adolescents experience digital regulation as a coherent developmental process rather than a set of disconnected, competing demands.

The author is explicit that DSMDS is a conceptual proposition intended to organize future research, not a summary of a settled digital-specific evidence base. Some elements—executive function development, autonomy-supportive scaffolding, general self-regulation—are well grounded in developmental and motivational theory, while claims about the sustained use, sequencing, and internalization of digital regulation strategies across adolescence require direct empirical validation. Future work, the review suggests, should employ longitudinal, transactional, and multi-level designs, including daily diary and ecological momentary assessment paired with family- and school-level data, to clarify how regulatory strategies are learned, supported, and enacted in everyday life. Whether comprehensive programs explicitly cultivating the literacy competencies and strategies the model describes can be built—and whether they work—remains the field’s central empirical challenge. What the framework offers now is a roadmap: a shift in the guiding question from whether adolescents regulate digital behavior to how regulatory capacities are learned, scaffolded, and internalized over time.