# Amotivation and Academic Engagement in Western Romanian University Students: A Conditional Self-Regulation Model with Forethought and Self-Reflection Under Perceived Performance Control

## TL;DR

This study explores how lack of motivation affects university students' academic engagement in Romania, finding that motivation issues persist even when students feel in control of their performance.

## Contribution

The study introduces a conditional self-regulation model showing how amotivation influences academic engagement through forethought and self-reflection under varying levels of perceived performance control.

## Key findings

- Amotivation has a strong direct link to academic engagement across all levels of perceived performance control.
- Perceived performance control moderates the amotivation–forethought relationship, especially under low control.
- Self-reflection mediates the amotivation–engagement link only at moderate control levels.

## Abstract

What are the main findings?
Among Western Romanian university students, amotivation showed a robust direct association with academic engagement across low, mean, and high levels of perceived performance control (attenuated, but not eliminated, as control increased).Self-regulation pathways were process-specific and context-dependent: perceived performance control moderated the amotivation → forethought link (stronger under low control), whereas self-reflection mediated the amotivation–engagement link only at moderate levels of control.

Among Western Romanian university students, amotivation showed a robust direct association with academic engagement across low, mean, and high levels of perceived performance control (attenuated, but not eliminated, as control increased).

Self-regulation pathways were process-specific and context-dependent: perceived performance control moderated the amotivation → forethought link (stronger under low control), whereas self-reflection mediated the amotivation–engagement link only at moderate levels of control.

What are the implications of the main findings?
Findings support a ‘controlled direct association’ architecture, indicating that the amotivation–engagement link persists across low, mean, and high perceived performance control levels, even as its magnitude decreases.Interventions should prioritize reducing amotivation and optimizing performance control, while applying self-regulation training selectively (e.g., strengthening reflective regulation in moderate-control contexts rather than assuming planning skills universally translate into engagement).

Findings support a ‘controlled direct association’ architecture, indicating that the amotivation–engagement link persists across low, mean, and high perceived performance control levels, even as its magnitude decreases.

Interventions should prioritize reducing amotivation and optimizing performance control, while applying self-regulation training selectively (e.g., strengthening reflective regulation in moderate-control contexts rather than assuming planning skills universally translate into engagement).

Background/Objectives: Academic engagement plays a central role in students’ learning outcomes and persistence in higher education. However, the mechanisms through which amotivation influences engagement remain insufficiently understood, particularly within conditional self-regulation frameworks. The present study examined a conditional self-regulation model in which amotivation predicts academic engagement through forethought and self-reflection under different levels of perceived performance control. Methods: Data were collected from 530 university students from Western Romania. A moderated parallel mediation model (PROCESS Model 59) was estimated to test whether forethought and self-reflection mediate the relationship between amotivation and academic engagement and whether perceived performance control moderates these pathways. Results: The results indicated that amotivation maintained a robust direct association with academic engagement across levels of performance control. Perceived performance control moderated the amotivation–forethought pathway, while self-reflection showed conditional indirect effects depending on control levels. Conclusions: These findings suggest that motivational deficits operate within a context-sensitive regulatory architecture in which control beliefs shape the activation of self-regulatory processes. The results contribute to understanding academic adaptation under motivational constraints and highlight the role of perceived performance control in students’ self-regulation systems.