Skip to content

G-Jump framework grounded in Self-Determination and Flow theories with self-referenced progress over peer rivalry

Design · All designs
Evidence · 1 claim (1 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

The article grounds the G-Jump framework theoretically in Self-Determination and Flow theories. It holds that gamified assessment fosters intrinsic motivation by satisfying needs for autonomy through self-paced progression and competence via immediate feedback, while maintaining an optimal balance between task challenge and student skill level to prevent cognitive overload and facilitate flow. Design choices also align with Nicol and Macfarlane-Dick's model of formative feedback as a motivational mechanism supporting self-regulation.

Design Implications

Context

Requirements

  • the design must prioritize "self-referenced progress over peer rivalry" to mitigate risks of unhealthy competition or psychological stress

Constraints

  • the potential "novelty effect" must be acknowledged; the article states longitudinal research is required to determine whether high engagement persists once gamified assessment becomes routine

Target Learners

  • undergraduate anesthesia students

Learning Goals

  • intrinsic motivation
  • self-regulation
  • cognitive engagement

Claims

Examples

-

Key Sources

  • Jafarpoor Hasanali, Falavarjani Hossein Ghasemi, Shokrani Amirhossein, Mortazavi Yosef, Kazemzadeh Asal, Darzi Fatemeh Hasaninejad, Behnam Fatemeh. (2026). Integrating the Triple Jump Exercise and gamification (G-Jump) to enhance learning outcomes among anesthesia students: a preliminary quasi-experimental study. BMC Medical Education. https://doi.org/10.1186/s12909-026-08933-1
Page metadata
Field Value
type design
id gjump-sdt-flow-grounding
title G-Jump framework grounded in Self-Determination and Flow theories with self-referenced progress over peer rivalry
description The article grounds the G-Jump framework theoretically in Self-Determination and Flow theories.
status review
generated by process:settle-candidates on 2026-11-05
trust unverified — no one has confirmed this page's content
sources 1 — jafarpoor-hasanali-2026

Frontmatter is the page's machine-readable record — see the Schema & Guide.