Session Information
99 ERC ONLINE 22 C, Research in Education
Paper Session
Meeting-ID: 883 4017 6877 Code: s1PuGr
Contribution
The population over 60 years of age is growing faster than any other age group in virtually every developed country in the world. The consequences of this demographic change and increasing life expectancy present opportunities and challenges, the effects of which are already visible (Who, 2015). One of the most important challenges is the acknowledged disadvantage of groups such as older people in the use of digital devices (Niehaves and Plattfaut, 2014; Ragnedda, 2017). Despite the recognized benefits for this group, to date, technology seemed to have largely ignored the ageing population, while older people did not seem to be interested in using technology. However, evidence shows that older people increasingly view technology positively and a recent increase in the use of the Internet by elderly has been noted (Smith, 2018). For example, The Digital 2021 report reveals that users over the age of 65 increased by approximately 25 percent over the past year on the Facebook network, and frequencies are also detected in other technological uses related to the adoption of e-commerce and online shopping, healthcare, or education (Park et al., 2021). Therefore, the pattern has been changing in recent years in terms of interest and frequent use of technology by older people. In this context, the study of the technological uses of certain digital devices in older people's lives is leading many researchers to analyse processes of acceptance and adoption of digital technologies by older people. The general framework of analysis used for this purpose are the so-called TAM (Technology Adoption Model) models originally proposed by Davis (1989) and by Davis et al., (1992), widely used for different types of users and technological devices, to describe the influence that users' beliefs and attitudes have on their intention to use a given technology.
From the perspective of TAM models of digital technology acceptance in older people, the main objective of this study is to analyse the perception and adaptability to digital technology of people over 60 years old and its effect on their subjective/psychological well-being. The starting hypothesis is that people with a better perception and higher level of adaptability to technology will be better able to benefit from the advantages of the resources and opportunities of today's everyday life, such as autonomy or improvement of functional aspects of daily life, among other aspects.
The aim of the study is justified by the need to analyse a series of factors that have to do with technological perception and the elimination of barriers in the use of digital technology by older adults. Specifically, this study seeks to provide answers to questions such as how technologies are perceived and represented in the human mind and what role they play in their lives and in shaping their digital identity, and how they are used depending on certain socio-demographic or cultural factors. This opens a whole range of opportunities to develop research in different relevant areas, and training in digital skills for social inclusion is therefore a priority in the social policies of major international organisations.
Currently, there are already several international initiatives that support this line of work, such as: The World Health Organization (WHO); the Grundtvig Programme for Lifelong Learning; as well as the EU Framework Programme for Research and Innovation, among others. Specifically, the content of this study is framed within the actions of a national R&D&I project (co-financed with FERER funds) called SENIORLAB-LBD (Ref. PID2019-107826GB-I00) whose general objective is focused on promoting the creation of open and inclusive ecosystems of research and innovation (R&D) in the framework of psycho-educational gerontology
Method
Methodology used to carry out this study was a mixed design (quantitative-qualitative), of participatory sequential exploratory data analysis (DEXPLIS) (Marzo et al., 2019). Currently the study is in the second phase to provide support in the interpretation and expand the quantitative results obtained. Phase 1: Quantitative ex-post-facto study with questionnaire as an instrument. In this phase, a questionnaire was designed through an exhaustive literature review of TAM (Davis,1992), validated through the Delphi method (Landetta,1999) and applied to analyze the uses to the digital technologies by people over 60 years of age through SPSS statistical program. In this stage the purpose was to study the uses and motives of using or not using digital technology by older adults. Phase 2: Qualitative study of a descriptive phenomenological type, using the interview as a data collection technique. This stage consists of the design and implementation of the same with people over 60 years of age. The purpose is to deepen about the perception that elderly have about digital technologies, especially the barriers or factors that stand between they and digital technologies, as well as the role those digital technologies play in their lives and in the configuration of their digital identity. All data from 51 interviews was recorded in audio format and transcripts to analyse its information through the NVIVO12 software, with a category system of deductive character (Miles & Huberman, 1994), structured from 3 initial dimensions: usage behaviour, emotionality, and critical thinking. The sample will be made up of people over 60 years of age residing in the Autonomous Community of Castilla y León (Spain) aged between 60 and 91 (M= 75.3; SD= 9.19), considering gender parity and diversity in socioeconomic, academic status and residential. Most of the participants are women (67%), over 80 years of age (39.2%), with primary education (49%) and with little or enough experience with technology (35.3% and 41.2% respectively). The relevant ethical and data protection criteria will be followed in this type of research (BERA, 2018; European Commission, 2018). Regarding the selection of the participant sample, the work of Kazez (2009) supports the decision to take a small representative sample, which will help to understand analysis criteria and/or measurement procedures, as well as to be able to formulate firm assumptions about behaviours.
Expected Outcomes
In a digitalised society known for over-ageing, it is necessary must leverage technological opportunities offer for communication, taking advantage of recreation and free time, health and/or ongoing learning. That is the reason because the relationship between the elderly and technologies acquires increasing interest in those responsible for educational policies, social services, and health social welfare, but also an increase in research with particular emphasis on access, use of digital technologies and the possibilities of the internet for active and healthy ageing of the population. Most of the studies about the processes of adoption of technology by elderly have been approached from the logic of quantitative research (Guner & Acarturk, 2020). The qualitative approach can provide a complementary, deeper, and more direct insight into these types of perceptions. This is precisely the approach we present in this paper, which has been developed from a qualitative design framed within a participatory research study (Tojar, 2006) because it offers the opportunity to, through one of the most widely used techniques in this field, the interview (Yin, 1995), a better understanding of the experience of older adults, their personal situation, and perceptions of the presence of technology in their daily life. Specially, the expected results of the present study will allow us to delve into the relationships between aging and technology, being able to know and identify those factors that stand between the elderly and digital technology as possible barriers or facilitators; as well as analyse the role those digital technologies play in their lives and in the configuration of their digital identity more specifically. Therefore, together with this interest in finding out how older people adopt, appropriate, and use certain digital devices, there is also the interest in facing and confronting the challenges they present to their digital inclusion.
References
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 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319–340. DOI: 10.2307/249008 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. DOI: 10.1111/j.1559-1816.1992.tb00945.x European Comission. (2018). Ethics in Social Science and Humanities. Guner, H., Acarturk, C. (2020). The use and acceptance of ICT by senior citizens: a comparison of technology acceptance model (TAM) for elderly and young adults. Univ Access Inf Soc, 19, 311–330 (2020). https://doi.org/10.1007/s10209-018-0642-4 Kazez, R. (2009). Los estudios de caso y el problema de la selección de la muestra Aportes del Sistema de Matrices de Datos. Subjetividad y procesos cognitivos, 13(1), 1-17. https://www.redalyc.org/articulo.oa?id=339630252005 Landeta, J. (1999). El método Delphi. Una técnica de previsión para la incertidumbre, Ariel. 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 competencias académicas y de empleabilidad de los niños y adolescentes que participan en ellas. Educación Social: Revista de Intervención Socioeducativa, 73, 95–116. https://raco.cat/index.php/EducacioSocial/article/view/361310 [Consulta: 18-01-2022]. 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. Eur J Inf Syst, 23, 708–726. DOI: 10.1057/ejis.2013.19 Park, S., Fisher, C., McGuinness, K., Lee, J. Y., & McCallum, K. (2021). Digital news report: Australia 2021. DOI :10.25916/kygy-s066 Ragnedda, M. (2017). The third digital divide: A Weberian approach to digital inequalities. Taylor & Francis. DOI: 10.4324/9781315606002 Smith, A. (2018). Older adults and technology use: Adoption is increasing, but many seniors remain isolated from digital life. Pew Research Center. https://www.pewresearch.org/internet/2014/04/03/older-adults-and-technology-use/ Tojar, J. C. (2006). Investigación cualitativa: comprender y actuar. La muralla. Permalink: http://digital.casalini.it/9788471339393 World Health Organization (2015). World report on ageing and health. Yin, R K. (2009). Case Study Research. Sage.
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