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Intergenerational Education Programs in Leisure and Aging Courses: Older Adult and Student Experiences

2002· article· en· W2811413784 on OpenAlexaff
Sherry L. Dupuis

Bibliographic record

VenueSCHOLE A Journal of Leisure Studies and Recreation Education · 2002
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPsychologyMedical educationGerontologyClass (philosophy)PedagogyMedicine

Abstract

fetched live from OpenAlex

Intergenerational education programs that bring young people together with older adults to learn from and with one another have been receiving greater attention in recent years. Yet, limited systematic information is available on the experiences for participants and the potential benefits these programs might provide. The purpose of this study was to examine the experiences of older adults and students in intergenerational education seminars offered as part of a university-level course on leisure in later life. Eight senior class assistants participated in small, student seminars over a 12-week period. At that end of the 12-week term, the older adults participated in semi-structured, in-depth interviews and the students completed an open-ended questionnaire designed to examine their experiences in the seminars. Both the older adults and the students overwhelmingly described their experiences in the intergenerational seminars as positive. Four themes reflected the positive outcomes described by the older adults: personal rewards, opportunity to make worthwhile contribution, exposure to young, and breakdown of stereotypes. The students also identified four factors that contributed to their beneficial experience: innovative learning experience, opportunity for sharing different perspectives, reduction of stereotypes, and effective learning tool. Nonetheless, better preparation for senior volunteers and alternative methods of student evaluation in the seminars may be necessary to enhance the overall experience for both students and older adults.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.381

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.060
GPT teacher head0.421
Teacher spread0.361 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2002
Admission routes1
Has abstractyes

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Same venueSCHOLE A Journal of Leisure Studies and Recreation EducationSame topicAging and Gerontology ResearchFrench-language works237,207