The Social and Cognitive Transformation of Older Adult Women: an Analysis of Community Well-Being for a University-Based Lifelong Learning Community

Craig A. Talmage, Allison Poulos, Mark S. Searle, Richard C. Knopf

Research output: Contribution to journalArticlepeer-review

11 Scopus citations

Abstract

Lifelong learning is a social and cognitive process that helps individuals build on their knowledge, skills, and abilities throughout their lives. This process is transformational for older adults. This study examines the social and cognitive transformation of older adult women involved in a large lifelong learning institute in the United States. Sense of community and gerotranscendence are used as measures of social and cognitive transformation, respectively. The relationships of these concepts with life satisfaction and quality of life are quantitatively and qualitatively investigated. Findings indicate that sense of community positively relates to life satisfaction and quality of life, while gerotranscendence only relates to life satisfaction. The qualitative findings support these connections as well as demonstrate the transformative effects of lifelong learning. This study concludes that a social and cognitive perspective on transformation will be beneficial to future investigations of life satisfaction, quality of life, and other measures of individual and community well-being.

Original languageEnglish (US)
Pages (from-to)11-31
Number of pages21
JournalInternational Journal of Community Well-Being
Volume1
Issue number1
DOIs
StatePublished - Nov 2018

Keywords

  • Aging
  • Gerotranscendence
  • Life satisfaction
  • Quality of life
  • Sense of community

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Social Sciences (miscellaneous)
  • Psychology (miscellaneous)

Fingerprint

Dive into the research topics of 'The Social and Cognitive Transformation of Older Adult Women: an Analysis of Community Well-Being for a University-Based Lifelong Learning Community'. Together they form a unique fingerprint.

Cite this