Raw LLM Responses
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G
ironically, by saying being against ai is ableist, they're the ones being ableis…
ytc_UgytZnCiv…
G
‘Biased data sets’ sounds like a massive Cope.
AI runs off of raw data without h…
ytc_UgxSPiyYg…
G
Why so serious? Humans are exceptionally good at faking the very emotions that u…
ytc_UgxN_Iqa2…
G
No one talks about how all of this affects High School grads this year. These ki…
ytc_UgylYZCAa…
G
How can a machine teach moral values, compassion, self-control; you know HUMAN s…
ytc_Ugy564-Ej…
G
I always find the use of Luddite as an insult mildly poetic. Actual well oresent…
ytc_UgxkTbS0I…
G
It’s not stealing without permission from anyone, once you register an account o…
ytc_UgzU6ZDgh…
G
Does anyone else use the Ryne AI essay composer just to brainstorm? It’s surpris…
ytc_UgxY6W3H0…
Comment
Research in cognitive psychology and education consistently shows that multiple exposures to content—especially when spaced and combined with retrieval practice—produce the highest rates of long-term retention and transfer. Studies on the “spacing effect” (Cepeda et al., 2006) and “retrieval practice” (Roediger & Karpicke, 2006) demonstrate that repeated encounters with material, distributed over time, significantly strengthen memory and understanding compared to single exposure or cramming. In school contexts, meta-analyses of interleaving and distributed practice confirm similar results across subjects (Dunlosky et al., 2013). This evidence underscores a limitation of AI models that prioritise one-off individualised delivery: without structured, repeated opportunities for review and peer interaction, students—especially younger learners—are less likely to consolidate knowledge. Effective AI integration must therefore build in cycles of exposure and reflection, while teachers facilitate the social and metacognitive dialogue that further enhances learning.
youtube
2025-09-14T04:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgxuFvVem6gCtCModh14AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw4d49_KFRZxJ3Z72p4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyLsuNYnhDyxYSDzFJ4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugz7YOEKL87okf2JNYl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgyzYZlUeNOd9HdlEK14AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugy4j1HQfUMZBZTC7854AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyZiK9eRV2-XIpyLLd4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzqsbMx_MNniV3dTcJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy72SPa9nY2mVX6dLZ4AaABAg","responsibility":"distributed","reasoning":"contractualist","policy":"none","emotion":"resignation"},
{"id":"ytc_UgyNnuoFLFmWPTgU-Xh4AaABAg","responsibility":"user","reasoning":"deontological","policy":"regulate","emotion":"fear"}
]