Gamified EdTech Platforms as Void Objects: Learning Algorithm Opacity, Engagement Over Outcomes, and Documented Harm — A Within-Domain Spearman Convergence

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Authors: Anthony W. Eckert
Cited by: 0

Abstract

Twelve gamified educational technology platforms (Duolingo, Chegg, Course Hero, Byju's, IXL, and others) scored on O (learning algorithm transparency, engagement vs. learning metric disclosure), R (adaptive difficulty, streak recovery mechanics, notification engineering), and C (streak lock-in, social features, subscription friction). Spearman ρ between Void Index and documented harm: academic integrity violation rates, OECD learning outcome gaps, Huynh et al. streak anxiety data, Byju's FTC action. EU AI Act Annex III §3 (educational systems — high-risk).

Fields of Study & Subjects

Educational Games and Gamification Ethics and Social Impacts of AI Digital Education and Society

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
1 March 2026
Language
EN
Document type
Preprint