This study focuses on the exploration of the path to improve the digital ability of elderly learning teams, focuses on the current situation of elderly learning teams in C District of S City, and carries out a comprehensive and in-depth questionnaire survey, with 1,792 valid questionnaires recovered, and 7 interviews recorded and relevant cases formed to validate the results of the questionnaire survey. The study found that the conditions of the elderly learning teams themselves have a decisive influence on their digital ability, and that the courses and activity experience programs at the district level can also effectively improve the digital ability of the elderly learning teams. The study suggests further development of relevant courses, brands, and activity programs, as well as the use of guided education models to stimulate team members' own active learning motivation and digital radiation influence.
Published in | Education Journal (Volume 14, Issue 1) |
DOI | 10.11648/j.edu.20251401.12 |
Page(s) | 9-19 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2025. Published by Science Publishing Group |
Education for the Elderly, Digital Ability, Learning Experience, Elderly Members
[1] | Wang Lu. Study on the influencing factors of health information literacy in the elderly [D]. Henan: Zhengzhou University, 2021. |
[2] | Lee H. Analysis of the impact of digital literacy on life satisfaction (2019–2022) for older adults in South Korea: a national community-based panel study [J]. Scientific Reports, 2024, 14(1): 20399-20399. |
[3] | Kyaw Y M, Aung N M, Koyanagi Y, et al. Sociodigital Determinants of eHealth Literacy and Related Impact on Health Outcomes and eHealth Use in Korean Older Adults: Community-Based Cross-Sectional Survey [J]. JMIR aging, 2024, 7e56061. |
[4] | Park Y, Chang J S. The impact of ageism experiences on social participation among community-dwelling older adults: Exploring the moderating role of digital literacy [J]. Geriatric nursing (New York, N. Y.), 2024, 59372-378. |
[5] | Pizzul D, Sala E, Caliandro A, et al. Evaluating the impact of a peer-education digital literacy course on older adultsdigital skills and wellbeing: a mixed-methods study protocol [J]. Frontiers in Sociology, 2024, 91432607-1432607. |
[6] | Mei Y. Exploring the mechanisms driving elderly Fintech engagement: the role of social influence and the elderly’s digital literacy [J]. Frontiers in Psychology, 2024, 151420147-1420147. |
[7] | Dajer C M C, Calzaretta V R A, Landa U S, et al. Impact of a culturally adapted digital literacy intervention on older people and its relationship with health literacy, quality of life, and well-being [J]. Frontiers in Psychology, 2024, 151305569-1305569. |
[8] | Miller S M L, Callegari A R, Abah T, et al. Digital Literacy Training for Low-Income Older Adults Through Undergraduate Community-Engaged Learning: A Single Group Pre-Post Study. [J]. JMIR aging, 2024. |
[9] | McGintyJ, OestJ, DividoJ. Digital immigrants: Leveraging the technology acceptance model to increase digital literacy in older adults [J]. New Directions for Adult and Continuing Education, 2024, 2024(181): 9-18. |
[10] | Sasha E, Johanna G, Kaotar E, et al. Evaluation of a virtual 4-week digital literacy program for older adults during COVID-19: a pilot study [J]. Educational Gerontology, 2024, 50(4): 296-303. |
[11] | Xu Benren. Class without classroom —— Shanghai Senior Citizens Study Team Activity Tour [J]. Success and Employment, 2013, (19): 14-17. |
[12] | Song Wei. The Geriatric Learning Team Functional Study [D]. Tutor: Huang Jian. East China Normal University, 2016. |
[13] | Su Jiao-yan. Research on the construction of elderly learning community under the perspective of aging [D]. Tutor: Li Guang. Shanxi University, 2023. |
[14] | Yue Yan. Retirement spirit: a multi-case study of role recognition led by the Shanghai elderly learning team [D]. Tutor: Huang Jian. East China Normal University, 2021. |
[15] | Lin Dandan. Community learning promotes elderly identity study [D]. Tutor: Huang Jian. East China Normal University, 2021. |
[16] | Wei Yaming, Li Weimin. Strategies for fostering and creating community-based aged learning teams [J]. Contemporary Continuing Education, 2021, 39(1): 53-58. |
[17] | Luo Liyang. Study on Elderly Learning Team Growth in Shanghai [D]. Tutor: Gao Zhimin. East China Normal University, 2019. |
[18] | Luo Yuhua. The elderly learning team Growth Study [D]. Tutor: Sun Meilu. East China Normal University, 2014. |
[19] | Zhang Wenlan, Li Shasha. Development and Inspection of the Online Course Learning Experience Scale [J]. Modern Educational Technology, 2021, 31(02): 65-72. |
[20] | Li Chun, Liu Junqiang. Design and application of the digital viability scale —— Take Heilongjiang Province as an example [J]. Education Informatization in China, 2014, (14): 38-40. |
[21] | Counts E G. Unique Multiple Linear Regression Problems for Each Student [J]. The Journal of Experimental Education, 2015, 44(3): 24-27. |
[22] | Eisinga R, Te Grotenhuis M, Pelzer B. The reliability of a two-item scale: Pearson, Cronbach, or Spearman-Brown? [J]. International Journal of Public Health, 2013, 58(4): 637-642. |
[23] | Hung R H, Kim B S, Abreu J M. Asian American multidimensional acculturation scale: development, factor analysis, reliability, and validity. [J]. Cultur Divers Ethnic Minor Psychol, 2004, 10(1): 66-80. |
[24] | Barassi M R. Microeconometrics; Methods and Applications by A. Colin Cameron; Pravin K. Trivedi [J]. 2005. |
[25] | Sun Dao-de. Selection of the Linear Regression Model According to the Parameter Estimation [J]. Wuhan University Journal of Natural Sciences, 2000, 5(4): 400-405. |
APA Style
Wenfu, L. (2025). Exploration on the Development Path and Influencing Factors of Digital Ability of Regional Elderly Learning Team —— Empirical Analysis Based on 1792 Samples and 7 Cases in the C District of S City. Education Journal, 14(1), 9-19. https://doi.org/10.11648/j.edu.20251401.12
ACS Style
Wenfu, L. Exploration on the Development Path and Influencing Factors of Digital Ability of Regional Elderly Learning Team —— Empirical Analysis Based on 1792 Samples and 7 Cases in the C District of S City. Educ. J. 2025, 14(1), 9-19. doi: 10.11648/j.edu.20251401.12
@article{10.11648/j.edu.20251401.12, author = {Lu Wenfu}, title = {Exploration on the Development Path and Influencing Factors of Digital Ability of Regional Elderly Learning Team —— Empirical Analysis Based on 1792 Samples and 7 Cases in the C District of S City}, journal = {Education Journal}, volume = {14}, number = {1}, pages = {9-19}, doi = {10.11648/j.edu.20251401.12}, url = {https://doi.org/10.11648/j.edu.20251401.12}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.edu.20251401.12}, abstract = {This study focuses on the exploration of the path to improve the digital ability of elderly learning teams, focuses on the current situation of elderly learning teams in C District of S City, and carries out a comprehensive and in-depth questionnaire survey, with 1,792 valid questionnaires recovered, and 7 interviews recorded and relevant cases formed to validate the results of the questionnaire survey. The study found that the conditions of the elderly learning teams themselves have a decisive influence on their digital ability, and that the courses and activity experience programs at the district level can also effectively improve the digital ability of the elderly learning teams. The study suggests further development of relevant courses, brands, and activity programs, as well as the use of guided education models to stimulate team members' own active learning motivation and digital radiation influence.}, year = {2025} }
TY - JOUR T1 - Exploration on the Development Path and Influencing Factors of Digital Ability of Regional Elderly Learning Team —— Empirical Analysis Based on 1792 Samples and 7 Cases in the C District of S City AU - Lu Wenfu Y1 - 2025/01/24 PY - 2025 N1 - https://doi.org/10.11648/j.edu.20251401.12 DO - 10.11648/j.edu.20251401.12 T2 - Education Journal JF - Education Journal JO - Education Journal SP - 9 EP - 19 PB - Science Publishing Group SN - 2327-2619 UR - https://doi.org/10.11648/j.edu.20251401.12 AB - This study focuses on the exploration of the path to improve the digital ability of elderly learning teams, focuses on the current situation of elderly learning teams in C District of S City, and carries out a comprehensive and in-depth questionnaire survey, with 1,792 valid questionnaires recovered, and 7 interviews recorded and relevant cases formed to validate the results of the questionnaire survey. The study found that the conditions of the elderly learning teams themselves have a decisive influence on their digital ability, and that the courses and activity experience programs at the district level can also effectively improve the digital ability of the elderly learning teams. The study suggests further development of relevant courses, brands, and activity programs, as well as the use of guided education models to stimulate team members' own active learning motivation and digital radiation influence. VL - 14 IS - 1 ER -