technology proficiency
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2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 951-952
Author(s):  
Robin Stuart

Abstract Differences between younger and older adults' use and adoption of technology have declined over the past two decades, though the mechanisms behind observed trends are uncertain. Few longitudinal studies have tried to capture detailed changes in technology attitudes, adoption, and usage over time among older adults. This presentation presents newly collected data from the first wave of the Attitudes toward Technology Longitudinal Aging Study (ATLAS), a 5-wave questionnaire-based longitudinal study of older adults' attitudes toward technology and levels of technology use (N = 88; Men = 30; Women = 58; Mage = 69.7 years). We present baseline characteristics of Wave 1 and explore predictors of technology use, adoption, and proficiency. Waves 2 through 5 will assess changes in these domains. Wave 1 results replicated previous findings in that older age was associated with lower computer and mobile device proficiency (computer: r = -.219*, p < .05 , mobile device: r = -.291**, p < .01). However, there was variability among both types of proficiency (McomputerProf = 27.39, SD = 3.57 ; MmobileProf = 31.52, SD = 9.21), indicating room for change over time. Both types of proficiency were correlated with level of technology use (computer: r = -.219*, p < .05 , mobile device: r = -.572***, p < .001). Taken together, these initial relationships suggest the possibility that future waves will see changes in technology use predicted by changes in age-related differences in technology proficiency and attitudes.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 509-509
Author(s):  
Christina Harrington ◽  
Amanda Woodward

Abstract Online health information resources (OHIRs) such as conversational assistants and smart devices that provide access to consumer health information in the home are promoted as viable options for older adults to independently manage health. However, there is question as to how well these devices are perceived to meet the needs of marginalized populations such as lower-income Black older adults who often experience lower digital literacy or technology proficiency. We examined the experiences of 34 lower-income Black older adults aged 65-83 from Chicago and Detroit with various OHIRs and explored whether conversational resources were perceived to better support health information seeking compared to traditional online web searching. In a three-phase study, participants tracked their experiences with various OHIRs and documented health-related questions in a health diary. Participants were then interviewed about their diaries in focus groups and semi-structured interviews, followed by a technology critique and co-design session to re-envision a more usable and engaging conversational device. We present preliminary results of the themes that emerged from our analysis: cultural variables in health information seeking practices, perceptions of credibility, likelihood of use, and system accessibility. Participants indicated that their trust of different resources depended on the type of information sought, and that conversational assistants would be a useful resource that require less technology proficiency, even among those with lower e-health literacy. Although our findings indicate that familiarity and trust were salient constructs associated with perceptions of OHIRs, these devices may address digital literacy and technology familiarity with certain design considerations.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 426-426
Author(s):  
Walter Boot

Abstract In response to the COVID-19 pandemic, information and communication technologies (ICTs) are primarily how many people communicate, socialize, and receive healthcare. In a recent Pew report, experts in the role of technology in society believe that post-COVID-19 pandemic, society will continue to be far more technology-driven than pre-pandemic. That is, technology will play an even greater role in our lives in the “new normal.” However, compared to younger adults, many older adults are less likely to adopt the technologies needed to perform these everyday tasks. Differences in technology proficiency, acceptance, and adoption between groups is often referred to as the “digital divide,” and older adults are more likely to be on the disadvantaged side of this digital divide. This session explores the potential of technology to support social, health, and wellbeing outcomes among older adults, and the challenges involved. This session will start with a talk by A. Lothary on the success and challenges of using a simple video chat platform to address loneliness and social isolation. S. Shende will present a video-technology intervention for older adults with and without cognitive impairment, and how this intervention was designed to facilitate engagement. This will be followed by a presentation by X. Lin on the relationship between social media usage and well-being across the lifespan, and mediators of this relationship. The session will conclude with a presentation by W. Qin on predictors of older adults’ use of telehealth technology to support health and wellbeing during the COVID-19 pandemic.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 553-554
Author(s):  
Aditya Bhattacharya ◽  
Shubo Tian ◽  
Nelson Roque ◽  
Zhe He ◽  
Walter Boot ◽  
...  

Abstract In cognitive training of older adults, adherence is a major challenge, but appropriate just-in-time adaptive interventions can improve adherence. To understand adherence patterns and predictors of adherence lapses, we aggregated data from two previous trials (N > 230) involving home-based cognitive interventions. This dataset, detailing 40,000 intervention interactions, contains information about intervention engagement and measures of objective and subjective cognitive performance, demographics, technology proficiency, and attitudes. Exploratory analyses were conducted to understand patterns and predictors of faltering adherence, using classification models, together with feature selection to remove redundant variables. Adherence behaviors in a week were predictive of quitting the following week. Game parameters such as the time of play were weak indicators of future playing patterns, whereas game success was a strong predictor of adherence. These and other useful observations will be incorporated in the design and development of the smart reminder system to be deployed in the APPT project.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 752-752
Author(s):  
Moriah Splonskowski ◽  
Samantha Smith ◽  
Claudia Jacova

Abstract Older adults often find it difficult to use everyday technology proficiently. We hypothesized that these difficulties would be exacerbated in those with subjective cognitive decline (SCD), that is, self-perceived worsening of cognitive functions that has been associated with increased risk of future dementia. Here we investigated the relationship between SCD symptom burden and technology proficiency. A nation-wide sample of adults (N=483) ages 50-79 (66.5% female; 14.5% age >70) completed an online survey via a crowdsourcing website, Amazon Mechanical Turk. The survey included the Subjective Cognitive Decline Questionnaire (SCD-Q MyCog) (0-25, M=4.71, SD=5.77), questions about respondents’ proficiency with computer, smartphone, and tablet (4-12, M=9.72, SD=1.97), and the PROMIS depression (M=13.18, SD=6.32) and anxiety (M=13.04, SD=5.68) scales. Linear regression was used to examine the ability of technology proficiency to predict SCD score. We also probed the interaction of technology proficiency with age (<70 vs. >70 years), and adjusted for covariates. We found that the age/technology interaction (B=-0.80), older age (B=7.49), lower education (B=-1.08), higher depression (B=0.20) and anxiety (B=0.16) symptoms predicted higher SCD burden (R-squared=.16). For respondents >70 years low technology proficiency predicted high SCD burden (B=-.79) whereas for those <70 years no relationship was found. Our study draws attention to older adults’ self-experienced cognitive function in the digital era. The association between low technology proficiency and SCD may signal the adverse impact of the digital era on those who experienced technology only later in life. It is equally possible that declining technology proficiency is an indicator of emerging neurodegenerative disease.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 843-843
Author(s):  
Erin Harrell ◽  
Nelson Roque ◽  
Walter Boot ◽  
Neil Charness

Abstract A cognitive intervention study was conducted to explore methods to improve adherence to a technology-based cognitive intervention and uncover individual differences that predict adherence (N = 120). The study was divided into two phases: (1) in which participants were asked to follow a prescribed schedule of training that involved gamified neuropsychological tasks administered via a tablet, and (2), in which participants were asked to play as frequently as they wished. Positively and negatively framed messages about cognitive health were delivered via the software program, and measures of cognition, technology proficiency, self-efficacy, technology attitudes, and belief in the benefits of cognitive training were collected. We computed an aggregate measure of adherence during each of the two phases, as well as a measure of daily engagement. Across data modeling approaches, the finding was consistent: only during Phase 2, was there evidence that positively-framed messages encouraged greater adherence over negatively-framed messages. Measures of memory and self-efficacy demonstrated some, but limited, ability to predict individual differences in adherence.


2021 ◽  
Vol 12 ◽  
Author(s):  
Shermain Puah ◽  
Muhammad Iskandar Shah Bin Mohmad Khalid ◽  
Chee Kit Looi ◽  
Ean Teng Khor

The current study set out to understand the factors that explain working adults' microlearning usage intentions using the Decomposed Theory of Planned Behaviour (DTPB). Specifically, the authors were interested in differences, if any, in the factors that explained microlearning acceptance across gender, age and proficiency in technology. 628 working adults gave their responses to a 46-item, self-rated, 5-point Likert scale developed to measure 12 constructs of the DTPB model. Results of this study revealed that a 12-factor model was valid in explaining microlearning usage intentions of all working adults, regardless of demographic differences. Tests for measurement invariance showed support for invariance in model structure (configural invariance), factor loadings (metric invariance), item intercepts (scalar invariance), and item residuals (strict invariance) between males and females, between working adults below 40 years and above 40 years, and between working adults with lower technology proficiency and higher technology proficiency levels. While measurement invariance existed in the data, structural invariance was only found across gender, not age and technology proficiency. We then assessed latent mean differences and structural path differences across groups. Our findings suggest that a tailored approach to encourage the use of microlearning is needed to suit different demographics of working adults. The current study discusses the implications of the findings on the use and adoption of microlearning and proposes future research possibilities.


2021 ◽  
Vol 9 ◽  
Author(s):  
Becky R. Horst ◽  
Andrew Sixsmith ◽  
Dorina Simeonov ◽  
Alex Mihailidis

The COVID-19 pandemic presents an unprecedented situation in which physical distancing and “stay at home” orders have increased the pressures for social isolation. Critically, certain demographic factors have been linked to increased feelings of isolation and loneliness. These at-risk groups for social isolation may be disproportionately affected by the changes and restrictions that have been implemented to prevent viral spread. In our analysis, we sought to evaluate if perceived feelings of social isolation, during the COVID-19 pandemic, was related to demographic and technology-related psychographic characteristics. Older adults across Canada were surveyed about their demographic background, their feelings concerning confidence and proficiency in technology use, and how frequently they have felt isolated during the pandemic. In total 927 responses from Canadians over 65 years old, of varying demographic characteristics were collected. Our data shows that many older adults are feeling isolated “Often” or “Some of the time” in 2020, regardless of most demographic factors that have been previously associated with increased isolation risk. However, feelings of proficiency in using technology was an important factor affecting feelings of isolation. Given that technology proficiency is a modifiable factor, and remained significant after adjustment for demographic factors, future efforts to reduce social isolation should consider training programs for older adults to improve technology confidence, especially in an increasingly digital world.


2021 ◽  
Vol 4 (4) ◽  
pp. 589-604
Author(s):  
Kimberly Woods ◽  
Jillian L. Wendt ◽  
Amy Barrios ◽  
Rebecca Lunde

The current study uses a correlation design and multiple linear regression to determine whether generation, gender, and subject area predict teachers’ technology efficacy as measured by the Technology Proficiency Self-Assessment for 21st Century Leaning (TPSA C-21). An online survey was provided to all participants. The survey consisted of demographic questions and a technology self-efficacy instrument. Results demonstrate that gender and generation are statistically significant predictors of technology efficacy, namely on the Total, WWW, Integrated Applications, and Emerging Technologies Skills subscales of the TPSA C-21. The subject area variable, however, did not demonstrate a statistically significant ability to predict teacher technology efficacy scores on any subscale of the TPSA C-21. The findings of the current study add to the existing body of literature by enhancing understanding of the teachers’ perceptions of technology efficacy in one geographic location in the US. These findings are timely, especially given the largely technology dependent nature of education—whether in physical classrooms or in virtual settings and the increasing necessity of using technological tools in education settings.  Implications are discussed, including suggestions for future research. 


2021 ◽  
Vol 11 (7) ◽  
pp. 342
Author(s):  
Amit Sharma ◽  
Salman Nazir

Maritime Education and Training (MET) is an integral part of the global maritime industry, playing an essential role in ensuring that the sector is supplied continuously with a skilled workforce. The successful outcomes of the educational content delivery in MET institutes depend, to a certain extent, on the maritime instructor’s ability to create conducive learning environments utilizing all of the resources available. The self-efficacy of maritime instructors in various facets, most notably their proficiency with the use of technology in classrooms, can lead to the introduction of transformative learning practices. Accurately measuring their self-reported technological proficiency could be the initial step in this direction. This study aimed to measure the self-reported technology proficiency of maritime instructors using an established and validated scale: Technology Proficiency Self-Assessment for the 21st century (TPSA-C21). The scale was administered, using an online survey, to a sample of MET instructors within Europe and the UK, with n = 62 valid responses received. Using descriptive statistics and the evaluation of the measurement model, the study highlighted the perceived level of proficiency of the MET instructors along dimensions such as email, world-wide web use, emerging tools, teaching with technology, integrated applications, and teaching with emerging technologies. The survey also measured the perceived level of technology integration for maritime instructors according to the Concerned-Based Adoption Model–Level of Use (CBAM–LoU) classification. The results indicate a potential area of improvement for maritime instructors with regard to their self-reported proficiency, namely in the dimension of teaching with emerging technology. The implications for the MET domain, the respondent demographics and the future research directions are discussed.


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