Research on the Model of Digital Learning for Elderly People in the Context of Lifelong Education
- DOI
- 10.2991/978-2-38476-297-2_34How to use a DOI?
- Keywords
- Lifelong Education; Digital Demand; Elderly; Digital Learning Model
- Abstract
With the proliferation of mobile internet technologies, the digital demands for lifelong education have been escalating progressively. Consequently, the pressing issue arises as to how to furnish elderly learners with flexible digital learning opportunities, facilitating their adaptation to societal shifts and fostering their social integration. To address this, the present study delves into the existing challenges and research significance of digital lifelong education for the elderly, subsequently proposing a digital learning model tailored specifically for this demographic. Rooted in a robust theoretical foundation and guided by meticulous design principles, this model aims to provide a theoretical framework for constructing digital learning models for the elderly. It endeavors to stimulate innovation and advancement in digital educational methodologies tailored to seniors, thereby laying a firmer foundation for their lifelong learning journey.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yu Wang PY - 2024 DA - 2024/10/31 TI - Research on the Model of Digital Learning for Elderly People in the Context of Lifelong Education BT - Proceedings of the 2024 8th International Seminar on Education, Management and Social Sciences (ISEMSS 2024) PB - Atlantis Press SP - 268 EP - 276 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-297-2_34 DO - 10.2991/978-2-38476-297-2_34 ID - Wang2024 ER -