Deceptive Pattern Analysis in Education Technology: Examining Manipulative and Ethical Design Practices in EdTech Platforms
Year: 2025
Type: conference-paper
Study design: Observational Study
Abstract: As Educational Technology (EdTech) platforms become increasingly integrated into higher education, concerns arise regarding the use of deceptive patterns-manipulative UX/UI strategies that influence user decisions.This study systematically examines deceptive patterns across Learning Management Systems (LMS), Massive Open Online Courses (MOOCs), new media platforms, and AI-driven learning tools.Using a mixed-methods approach, we conducted a survey with 12 university students and 6 educators to analyze their experiences and awareness of deceptive practices.Findings reveal that LMS platforms are trusted but lack flexibility, MOOCs often employ deceptive pricing strategies, new media platforms leverage algorithm-driven engagement tactics, and AI tools raise concerns about academic integrity.These insights highlight the tension between personalization and user protection, emphasizing the need for transparent and ethical EdTech design.This study contributes to UX regulation discussions and provides recommendations for balancing user engagement, accessibility, and fairness in digital learning environments.
Authors: Muyuan Liu, Eszter Vigh, Anne Roudaut
Institution: University of Bristol
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4412045152