Situated learning through intergenerational play between older adults and undergraduates
Bibliographic record
Abstract
This study is grounded in a social-cultural framework that embeds learning in social activities, mediated by cultural tools and occurring through guided participation in the social practice of a particular community. It uses conversation analysis as a tool to examine the structures of the talk-in-interaction of naturally occurring conversations between 11 pairs of older adult (aged between 65 and 92) and undergraduates (aged between 18 and 25) during a 6-week social practice of intergenerational digital gameplay. The purpose is to demonstrate how older adults adapt to and make sense of collaborative gaming activities through guided participation. The features of minimum gap and overlap, even conversational inputs, and orientation to one another’s turns indicate interactional connection between older adults and younger people. Adjacency pairs in the form of question-answer and self-initiated other-repairs are the situated use of social resources afforded by the intergenerational interaction. It is through these two main means of interaction that younger players offer immediate feedback and explanation to guide older adults to engage in the collaborative play and develop understanding of unfolding concepts and phenomena.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".