Year: 2025
Type: conference-paper
Study design: Observational Study
Abstract: As the popularization of intelligent technologies and the acceleration of population aging, more and more elderly groups are turning to online learning platforms to meet their spiritual and cultural needs. This paper focuses on elderly users who use online learning apps, combining user demand surveys to evaluate the shortcomings and optimization directions of existing age-friendly design for online learning apps. The study employs a combination of questionnaire surveys and data analysis, using the Kano model to categorize user needs. It proposes specific strategies for age-friendly design of online learning apps from four aspects: reinforcing essential needs, optimizing expected needs, uncovering attractive needs, and transforming indifferent needs.
Authors: Jiaqi Chi, Linhan Wang
Institution: Shenyang Jianzhu University
Language: English
Subfield: Demography
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: hybrid
OpenAlex ID: W4414385663