Technology-Enhanced Work Examples: Techniques for Using Mobile Devices to Enhance Learning through Teaching, Collaboration, and Sharing

Many principles and concepts are best explained and demonstrated through worked examples. Worked examples can take many forms from fill-in-the-blank to fully written-out from scratch. Research shows that students and faculty alike find great value in spontaneous written examples on a whiteboard or chalkboard. This spontaneity allows instructors to quickly adjust to the learners needs. In this showcase, you will see how to use technology to transfer this concept of the classroom-based spontaneous worked example to online and hybrid class environments.https://fuse.franklin.edu/ss2014/1054/thumbnail.jp

Biopsychosocial predictors of perceived life expectancy in a national sample of older men and women.

Perceived life expectancy (PLE) is predictive of mortality risk in older adults, but the factors that may contribute to mental conceptions of PLE are unknown. We aimed to describe the sociodemographic, biomedical, behavioral, and psychological predictors of self-reported PLE estimates among older English adults. Data were from 6662 adults aged 50-79 years in the population-based English Longitudinal Study of Ageing (cross-sectional sample from 2012/13). PLE was assessed in the face-to-face study interview ("What are the chances you will live to be age x or more?" where x = current age plus 10-15 years). Responses were categorized as 'low' (0-49%), 'medium' (50-74%), and 'high' (75-100%). Adjusted prevalence ratios (PRs) and 95% confidence intervals (CIs) for low vs. high PLE were estimated using population-weighted modified Poisson regression with robust error variance. Overall, 1208/6662 (18%) participants reported a low PLE, 2806/6662 (42%) reported a medium PLE, and 2648/6662 (40%) reported a high PLE. The predictors of reporting a low PLE included older age (PR = 1.64; 95% CI: 1.50-1.76 per 10 years), male sex (PR = 1.14; 95% CI: 1.02-1.26), being a smoker (PR = 1.39; 95% CI: 1.22-1.59 vs. never/former smoker), and having a diagnosis of cancer or diabetes. A low sense of control over life was associated with low PLE, as was low satisfaction with life and worse self-rated health. Those with a higher perceived social standing were less likely to report a low PLE (PR = 0.90; 95% CI: 0.87-0.93 per 10-point increase, out of 100). This study provides novel insight into potential influences on older adults' expectations of their longevity, including aspects of psychological well-being. These results should be corroborated to better determine their implications for health-related decision-making, planning, and behavior among older adults

Does the Letter Matter (and for Everyone)? Quasi-Experimental Evidence on the Effects of Home Invitation on Mammography Uptake

We exploit regional variation in the availability of breast cancer screening policies and variations in age eligibility criteria across European regions to estimate the causal effect of home invitation on mammography uptake. We link administrative public data about regional breast cancer screening policies from various sources to individual Survey of Health Ageing and Retirement in Europe (SHARE) data. We find that home invitation increases mammography uptakes by almost 20 percentage points. At the same time, we find that home invitation reduces education-related inequalities but increases gradient in the use related to cognitive functions. In addition, significant effects on mammography use are found only when at least 50 per cent of the population is reached by the home invitation. Our results suggest that an exogenous informational shock affects preventive decisions especially among less informed individuals but the effectiveness of invitation is strongly reduced for women who are less able to process information.In diesem Papier nutzen wir regionale Unterschiede im Zugang zu Brustkrebs-Screening-Programmen sowie regionale Unterschiede in den altersspezifischen Teilnahmebedingungen, um den kausalen Effekt von schriftlichen Einladungen auf die Teilnahme an Mammographie-Screening-Programmen zu untersuchen. Hierzu werden administrative regionale Daten zu Brustkrebs-Screening-Programmen herangezogen und mit Individualdaten des Survey of Health Ageing and Retirement (SHARE) verknüpft. Wir finden heraus, dass die Einladung zum Screening die Teilnahme am Screening um fast 20 Prozentpunkte erhöht. Gleichzeitig reduziert die Einladung zum Screening bildungsbezogene Ungleichheiten in der Inanspruchnahme, jedoch erhöht sie kognitiv bezogene Ungleichheiten. Signifikante Effekte auf die Mammographieteilnahme werden nur gefunden, wenn mindestens 50 Prozent der Bevölkerung eine Einladung erhält. Unsere Ergebnisse lassen schlussfolgern, dass ein durch die schriftliche Einladung ausgelöster exogener Informationsschock einen starken Einfluss auf Präventionsentscheidungen hat. Diese Schlussfolgerung gilt insbesondere für weniger informierte Personen. Demgegenüber ist die Einladung zum Screening nicht so effektiv, wenn die Frauen weniger in der Lage sind Informationen zu verarbeiten

Explaining variations in breast cancer screening across European countries

This paper explores variations in the uptake of breast cancer screening and associated factors influencing utilisation of mammography screening among women aged 50 to 69 years in 13 European countries. We focus on the relative importance of individual (e.g. age, education, etc.) and institutional (e.g. public screening program) factors in explaining cross-country variation in the utilisation of mammograms. We take advantage of (a) newly available individual level data from the SHARE as well as (b) regional and country level data on institutional factors. We find that observed individual factors like age, education, health status, etc. are associated with screening uptake within countries but cannot statistically explain cross-country differences. In contrast, observed institutional factors like the availability of an organized screening program can statistically explain about 40 per cent of the between country differences in screening rates