An Analysis of Age, Technology Usage, and Cognitive Characteristics Within Information Retrieval Tasks

Crabb, Michael; Hanson, Vicki L.

doi:10.1145/2856046

Cited by 18 publications

(9 citation statements)

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“…Individuals in more senior job roles are more likely to be involved in institutional-level decision-making and therefore may have views as to the value of SoMe beyond localised learning activities. However, while there is a widely held view that older individuals are more resistant to technological advances, and both age and seniority have been shown to impact upon SoMe usage (Manca & Ranieri, 2016b), the available evidence does not always support this premise, at least where educational technologies are concerned (Crabb & Hanson, 2016;Fleming, Becker, & Newton, 2016). Findings presented here (Figure 2A, 2B) also do not support this presumption.…”

Section: Discussioncontrasting

confidence: 80%

Social media: Insights for medical education from instructor perceptions and usage

Keenan¹,

Slater²,

Matthan³

2018

MedEdPublish

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This article was migrated. The article was marked as recommended. The popularity and utility of social media in medical education have progressed dramatically during the last decade. Social media are increasingly used for educational and professional purposes and are known to be both theoretically beneficial and practically effective. We have investigated the perceptions and usage of social media by educators across multiple disciplines, roles and demographics in order to determine the present situation regarding social media as educational tools. We show that discipline and demographics have limited impact on perceptions of the value of social media. As medical educators, we consider our findings to be broadly pertinent to undergraduate medical education. Results presented here indicate that many educators at UK universities consider social media to be educationally valuable. However, this is not always directly translated into usage due to the presence of certain barriers. This finding is characterised by a disparity between the extent of positive perceptions of social media and the amount of practical usage within the context of medical education and other undergraduate disciplines. Our work has shed some light on the reasons why educators may choose not to use social media, in addition to how and why they do use it, which can provide a basis for developing strategies for training medical educators in approaches to social media in learning and teaching, and for encouraging appropriate usage of these valuable educational tools.

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Section: Discussioncontrasting

confidence: 80%

Social media: Insights for medical education from instructor perceptions and usage

Keenan¹,

Slater²,

Matthan³

2018

MedEdPublish

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“…Older adults with cognitive difficulties may perceive technology as more difficult to use [45], and individuals with higher cognitive levels are likely to participate in a wider variety of web-based tasks (i.e., Internet use and email) [23]. Perceptual speed, an area of cognitive ability, has been found to be a reasonable predictor of determining desktop browsing characteristics in older adults [15]. Potential cultural and lifestyle causes have also been explored.…”

Section: Technology and Older Adultsmentioning

confidence: 99%

App Usage Predicts Cognitive Ability in Older Adults

Gordon

Gatys

Guestrin

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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We have limited understanding of how older adults use smartphones, how their usage differs from younger users, and the causes for those differences. As a result, researchers and developers may miss promising opportunities to support older adults or offer solutions to unimportant problems. To characterize smartphone usage among older adults, we collected iPhone usage data from 84 healthy older adults over three months. We find that older adults use fewer apps, take longer to complete tasks, and send fewer messages. We use cognitive test results from these same older adults to then show that up to 79% of these differences can be explained by cognitive decline, and that we can predict cognitive test performance from smartphone usage with 83% ROCAUC. While older adults differ from younger adults in app usage behavior, the "cognitively young" older adults use smartphones much like their younger counterparts. Our study suggests that to better support all older adults, researchers and developers should consider the full spectrum of cognitive function.

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“…There are clear physical and cognitive bases for these observed differences (e.g. [5] [6] [9]), but there are social ones as well, namely that children and younger adults benefit from informal training by their peers, and further experiential bases, such as the fact that many of the technologies older adults are most familiar with are becoming 'old-fashioned'. It would make sense if older people's reaction to these observations is to not even try to "compete", as it were, by working to become as proficient with technology as younger people.…”

Section: The Freedom Of Low Expectationsmentioning

confidence: 99%