Brief social presence improves delayed memory for online lecture content
Bibliographic record
Abstract
During the COVID-19 pandemic, the use of videoconferencing platforms became ubiquitous in postsecondary education around the world, making it crucial to understand how to maximize the efficacy of synchronous online classes. Given that social information can act as a motivation and improve memory, the current study tested the hypothesis that brief social presence during an online class would act as a social reward that would increase delayed memory for lecture information. Undergraduate students attended a mock synchronous class during which they viewed a pre-recorded science lecture, and social presence was manipulated by having participants turn on their cameras before and after the lecture (high social presence) or having cameras remain off during the entire class (low social presence). After 24 hours, participants completed a surprise memory test for the lecture material and a subjective experience survey about the class. As predicted, participants in the high social presence condition demonstrated higher recognition memory for the lecture content and gave higher ratings of enjoyment and feeling part of a group compared to participants in the low social presence condition. These findings suggest that enhancing social presence in virtual environments may be leveraged to boost academic performance in university students.
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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 | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".