Session Information
99 ERC SES 06 G, ICT in Education and Training
Paper Session
Contribution
The need for digital technologies is manifested in all spheres of society, generating certain gaps according to the ways in which they are accessed, used and accepted. The disadvantaged situation of groups such as the elderly in the use of digital devices is widely recognized (Niehaves & Plattfaut, 2014; Ragnedda, 2017). According to the scientific literature, older people are less familiar and show more negative attitudes towards technology than younger people; so that sometimes prevents them from benefiting significantly from its use in terms of improving quality of life (Hauk et al., 2018). Among the benefits manifested for the population, we find the increase in psychological well-being, community sense and satisfaction with life (Fang et al., 2018; Heo et al., 2015); as well as the decrease in depression and loneliness (Chopik, 2016; Czaja et al., 2018). The main focus of the studies that follow this line seeks to identify the factors that explain the process of acceptance and adoption of digital technologies by older people. The general analysis framework used for this are the so-called TAM models (Technology Adoption Model) originally proposed by Davis (1989) and by Davis et al., (1992), widely used for various types of users and technological devices, with the purpose to describe the influence that users' beliefs and attitudes have on their intention to use a certain technology.
From the conception of technologies as instruments for the solution of social problems and from the perspective of TAM models of acceptance of digital technology in older people, the main objective of this study is to analyze the subjective perception and adaptability to digital technology of people over 60 years of age and its effect on their subjective / psychological well-being. The starting hypothesis on which we work is that, people with a higher level of subjective adaptability to technology will be better able to benefit from the advantages of resources and opportunities in current daily life, such as autonomy or the improvement of functional aspects of daily life, among other aspects
The objective of the study is justified by the need to identify certain aspects that currently concern the scientific community around the processes of adoption of technology by older people. Specifically, it refers to the study of the barriers or factors that stand between the elderly and digital technologies, as well as the role they play in their lives and in the configuration of their digital identity. That allows bringing up a whole series of opportunities to develop research in different relevant areas, such as studies on the appropriate methods and strategies for the teaching-learning of ICT or with respect to resources or the design of technological devices and applications, considering these basic aspects that will influence in usability for the study group.
Currently, there are already various international initiatives that support this line of work, such as: The World Health Organization (WHO); the Grundtvig Program for Lifelong Learning; as well as the EU Framework Program for Research and Innovation, among others. Specifically, the content of this study falls within the framework of the actions of a national R + D + i Project (co-financed with FERER funds) entitled “Subjective adaptability in technosocial environments and life-based gerontechnological innovation (SENIORLAB-LBD ) ”(Order CNU / 320/2019, of March 13), whose general objective is focused on promoting the creation of open and inclusive ecosystems for research and innovation (R&D) within the framework of psychoeducational gerontechnology.
Method
The methodology used to carry out this study was a mixed design (quantitative-qualitative), of participatory sequential exploratory data analysis (DEXPLIS) (Marzo et al., 2019). The discoveries of both stages are integrated into the interpretation and preparation of the study report, so that the qualitative results can provide support in the interpretation and expand the quantitative results obtained. Currently the study is in the first phase. Phase 1: Quantitative ex-post-facto study with questionnaire as an instrument. In this phase a questionnaire is designed, validated and applied to analyze the intention to use digital technologies by people over 60 years of age. The questionnaire has already been designed based on an exhaustive review of the bibliography on technology acceptance models (Davis TAM, 1992) extended to older people. The purpose is to study in detail the factors that are related to technological perception and barriers in the intention of using digital technology by older people. The content of the questionnaire has been validated by a panel of 16 international experts according to the Delphi method (Landeta, 1999) and is currently in the process of statistical validation. All data will be imported into the SPSS statistical program (v.25 USAL license) to analyze it. Phase 2: Qualitative study of a descriptive phenomenological type, using the interview as a data collection technique. It will consist of the design and implementation of the same with people over 60 years of age. The porpouse is to deepen about the barriers or factors that stand between the elderly and digital technologies, as well as the role that digital technologies play in their lives and in the configuration of your digital identity. All the data will be recorded in audio format and transcribed to analyze its information through the NVIVO program, under an inductive category system (Miles & Huberman, 1994). The sample will be made up of people over 60 years of age (age range between 60 and 100) residing in the Autonomous Community of Castilla y León (Spain), taking into account gender parity and diversity in socioeconomic, academic status and residential. The relevant ethical and data protection criteria will be followed in this type of research (BERA, 2018; European Commission, 2018).
Expected Outcomes
Technology is evolving rapidly and its demand is increasing in practically all aspects of our daily lives. This fact implies that the high priority research objective is the study of factors that favor the adoption of digital technology in disadvantaged groups. This is the case of elderly population, who start from disadvantageous situations in terms of access and use. There is a growing body of literature that affirms the great benefits that digital technologies represent for that collective. The relationship between the elderly and technologies acquires increasing interest in those responsible for educational policies, social services and health, social welfare, within the framework of active, healthy and functional aging. This increase in interest also remains in force in the commercial and economic sphere, due to the increase in evidence that justifies that elderly people are active subjects in their ways of consuming and using technologies (Aceros et al., 2015; Badowska, 2017) stating, for example, as a user collective and potential online buyer. The expected results of the present study, according to the analysis of the perception and subjective adaptability to digital technology of people over 60 years of age and its effect on their subjective / psychological well-being, will allow us to delve into the relationships between aging and technology, being able to more specifically a) analyze the intention to use various digital technologies based on certain sociodemographic or cultural and social factors; b) know and identify those factors that stand between the elderly and digital technology as possible barriers or facilitators; as well as c) analyze the role that digital technologies play in their lives and in the configuration of their digital identity. To sum up, we highlight the relevance of this type of study to base quality educational interventions in order to improve the quality of life of the elderly.
References
Aceros, J. C., Pols, J., & Domènech, M. (2015). Where is grandma? Home telecare, good aging and the domestication of later life. Technological Forecasting and Social Change, 93, 102–111. Badowska, S. (2017). Social influence and a process of acceptance and use of a technological product by the elderly consumers. Annales Universitatis Mariae Curie-Sk\lodowska, Sectio H Oeconomia, 51(2), 29–37. BERA. (2018). Ethical Guidelines for Educational Research (Fourth edi). Recuperado de https://www.bera.ac.uk/researchers-resources/publications/ethical-guidelines-for-educational-research-2018 Chopik, W. J. (2016). The benefits of social technology use among older adults are mediated by reduced loneliness. Cyberpsychology, Behavior, and Social Networking, 19(9), 551–556. Czaja, S. J., Boot, W. R., Charness, N., Rogers, W. A., & Sharit, J. (2018). Improving social support for older adults through technology: Findings from the PRISM randomized controlled trial. The Gerontologist, 58(3), 467–477. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x European Comission. (2018). Ethics in Social Science and Humanities. Fang, Y., Chau, A. K., Wong, A., Fung, H. H., & Woo, J. (2018). Information and communicative technology use enhances psychological well-being of older adults: The roles of age, social connectedness, and frailty status. Aging & Mental Health, 22(11), 1516–1524. Hauk, N., Hüffmeier, J., & Krumm, S. (2018). Ready to be a silver surfer? A meta-analysis on the relationship between chronological age and technology acceptance. Computers in Human Behavior, 84, 304–319. Heo, J., Chun, S., Lee, S., Lee, K. H., & Kim, J. (2015). Internet use and well-being in older adults. Cyberpsychology, Behavior, and Social Networking, 18(5), 268–272. Marzo, M., Pulido, M. A., Morata, T., & Luna, E. P. (2019). Aportaciones de las entidades de tiempo libre educativo y centros socioeducativos en el desarrollo de comptencias académicas y de empleabilidad de los niños y adolecentes que participan en ellas. Educación Social: Revista de Intervención Socioeducativa, 73, 95–116. Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. sage. Niehaves, B., & Plattfaut, R. (2014). Internet adoption by the elderly: Employing IS technology acceptance theories for understanding the age-related digital divide. European Journal of Information Systems, 23(6), 708–726. Ragnedda, M. (2017). The third digital divide: A Weberian approach to digital inequalities. Taylor & Francis.
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