Reverse mentoring is a means to address the social work Grand Challenge of social isolation. Among older adults, reverse mentoring can improve social connection by increasing the digital competence of older adults so they can use technology for social benefit, and by facilitating intergenerational connections with young adult mentors. In this paper, reverse mentoring is examined within an intergenerational program that serves older adults and utilizes the native technological knowledge and skills of young adults who mentor older adult participants. Qualitative data were collected through young adult mentor logs of each session, and through open-ended questions on the post-surveys collected from older adults and young adult mentors. Qualitative analysis revealed three themes related to social connection: (1) an increased sense of self-efficacy for older adults as they build confidence in technological use, and for young adults as they develop leadership skills through mentoring, (2) the breaking down of age-related stereotypes, and (3) intergenerational engagement and connection. The findings demonstrate that reverse mentoring can be used in various settings to decrease the social isolation of older adults by developing intergenerational connections and increasing older adult usage of technology.

Intergenerational service-learning in higher education positively affects older adults and students, but little is known about the effectiveness of interdisciplinary, reverse mentoring programs that use technology as the medium of bringing generations together. This study describes an intergenerational service-learning program that utilizes reverse mentoring within higher education, the “Engaging Generations Program,” at a midsized public university in New England where students help older adults learn about technology, and students gain communication and teaching skills. In this article, we outline how the program was implemented, present quantitative data on participation outcomes for students and older adults and qualitative data from older adults, and discuss best practices. Analysis of pre/post surveys found that students’ attitudes toward aging improved (p < 0.01) and older adults interest in technology improved (p < 0.05) after program participation. Best practices identified included: multiple meetings with the same pair to deepen friendships, in-person training for student leaders, student responsibility for scheduling, tailoring sessions to each participant, student documentation of meetings, and active involvement by community partners.

Ageism is a societal concern that greatly affects the social, emotional, physical, and mental health of older adults. One way to decrease ageist attitudes and improve the treatment of older adults is to address and improve age stereotypes among young adults. Using data from students participating in an intergenerational digital-learning program, the present study investigated change in students’ stereotypes of older adults and aging. We examined change from pre- and post-scores in student attitudes toward older adults and the type of adjectives used to describe older adults. We also analyzed responses to open-ended questions about changes in perception of older adults and aging and interest in working with older adults. Findings showed that: (1) Students’ attitudes improved following participation in the program; (2) students used fewer negative words to describe older adults following participation; (3) answers to open-ended questions demonstrated that many students improved their perceptions of older adults; and (4) many students showed increased interest in working with older adults in their future careers. Programs that reduce age stereotypes should be promoted in order to reduce young people’s harmful ageist stereotypes, ensure respectful treatment of older adults in all workplace and social situations, and increase interest in aging-related fields.

The current study examined teaching modalities used by college students participating in an intergenerational, service-learning program that helps older adults learn technology and described reasons for older adults' continued participation in this program. Qualitative data analysis was completed using student-maintained observation logs from approximately 200 older participants. Several different teaching modalities used by student mentors were identified, including observing and listening, writing down information or creating visual aids, explaining the significance and simplifying materials, using repetition/review, and using hands-on learning. Multiple reasons for older adults' continued participation were identified, including continued progress on one topic or device; multiple topics for advanced use; learning multiple modalities to get connected; and continued learning through take-a-ways, practice, and homework. Service-learning programs can help educate health and human service professionals on best practices for working with older adults. [ Journal of Gerontological Nursing, 46 (1), 14–20.]

A variety of terms and measures have been used in the literature to denote being socially integrated, and many studies of older adults focus on only social networks or social support and often only include those living in the community. The purpose of this study was to assess multiple constructs of social integration (i.e., social networks, social capital, social support, and social engagement) for older adults in nursing homes. Data were collected from 140 older adults at 30 nursing homes in Kansas. We interviewed older adults’ in-person using a survey questionnaire, and used multilevel confirmatory factor analysis to analyze the data. The final model that included the four constructs had acceptable fit (χ² = 174.71; df = 112; p < .01; CFI = .93; RMSEA = .06; SRMR-W = .06; SRMR-B = .12). The results showed that the proposed model was supported at the individual level. At the between-level, social networks and social support were supported. Study results have methodological and practice/policy implications for the study of older adults in long term care settings. In particular, this study contributes to understanding how to operationally define and differentiate social integration variables in studies of older adults, particularly when study data are hierarchical.

This study examined civic engagement participation among older adult nursing home residents and determined resident characteristics that predict group membership, resident council participation, informal volunteering, and voting. Residents (N = 139) answered questions from standardized surveys during in-person interviews. The most common civic engagement activity was membership in social/community groups. Logistic regression results showed that emotional well-being and social support predict group membership and resident council participation. Age and activities of daily living predict volunteering. Study findings suggest that community groups could utilize residents in their efforts, and that future research should determine supports and adaptations for increasing civic engagement among residents.