# From distraction to addiction? Understanding academic cyberslacking as a behavioral dependency among medical students

## TL;DR

The study explores how medical students' digital distractions evolve into addictive behaviors, affecting their learning and wellbeing.

## Contribution

It introduces a three-phase model of academic cyberslacking as a behavioral dependency among medical students.

## Key findings

- Digital distractions begin due to autonomy deficiency and peer influences.
- Algorithmic reinforcement and device dependency sustain cyberslacking behaviors.
- Prolonged cyberslacking leads to cognitive fragmentation and adaptive digital integration.

## Abstract

Academic cyberslacking among medical students represents a complex behavioral adaptation shaped by personal, technological, and institutional factors. This study explores its triggers, sustaining mechanisms, and long-term impacts, addressing how digital distractions evolve into entrenched patterns during medical education.

Using Straussian grounded theory, in-depth interviews were conducted with 35 medical students from two medical universities in China. The analysis followed a structured approach to identify the phased progression of academic cyberslacking behaviors.

Findings reveal a three-phase model. In the trigger stage, students initially engage in digital distractions due to autonomy deficiency, psychological coping, and peer influences. The sustain stage is driven by algorithmic reinforcement, device dependency, and cognitive overload, making disengagement increasingly difficult. Finally, in the impact stage, prolonged cyberslacking leads to motivation decline, cognitive fragmentation, and adaptive digital integration, where students either struggle with disengagement or develop strategic coping mechanisms.

Academic cyberslacking is not merely a distraction but a multifaceted adaptation process. Recognizing its structured progression informs medical education strategies, policy reforms, and wellbeing interventions. The study highlights the need for institutional responses integrating digital literacy, cognitive load management, and technology-aware curriculum design to mitigate public health risks in digitalized learning environments.