Live, Learn, and Connect: Unpacking Live-Streaming-Based Silver Classroom in China
Bibliographic record
Abstract
As a flexible, scalable, and affordable learning paradigm, live-streaming-based learning (LS learning) has become increasingly popular among older adults, shaping a digitally mediated ''silver classroom''. Despite its growing prevalence and its potential to address gaps in lifelong learning access and educational equity, meet older adults' learning needs, enhance their social connection, this learning paradigm remains largely underexplored in the CSCW literature. Given older adults' unique learning characteristics in terms of motivations, expectations, and learning abilities, it is critical to deeply examine their LS learning behaviors and experiences to inform better design. This study presents an empirical study in China to unpack this LS-based silver classroom phenomenon, focusing on its infrastructure, practices and lived experiences. Our findings reveal a human-technology integrated infrastructure alongside a volunteer-based, self-organized, autonomous collaborative community, which works together in fostering a supportive LS learning environment for older adults and meeting their additional emotional and social needs. We discuss how these sociotechnical arrangements shape the unique learning experiences of older adults and highlight the opportunities and challenges in designing for later-life learning.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".