AI in Schools: The Motivation Risk
AI threatens student motivation when it removes the productive struggle that turns effort into curiosity.
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Psychology, education, sociology, politics, and economic behaviour.
AI threatens student motivation when it removes the productive struggle that turns effort into curiosity.
Sunk costs hijack future decisions through three specific cognitive moves — loss framing, effort justification, and identity commitment — turning a closed financial chapter into a live argument for persistence.
A concrete way to recognize when a forward-looking opportunity cost secretly bundles an unrecoverable past outlay, so the two costs can be separated.
Sunk costs distort decisions in recognizable, patterned ways — and a few targeted self-questions can expose them before they pull you in.
Irreversibility creates a quantifiable cost that option value must clear before action becomes rational, turning 'just decide' into 'compare a threshold to the expected upside'.
A precise picture of how sunk costs get re-injected into opportunity-cost comparisons, the standard double-count pattern that produces it, and a simple test that exposes the error.
Irreversibility is the loss of the option to recover the foregone alternative, and once that option is destroyed, rational choice depends on the value of waiting under uncertainty rather than on the size of the payoffs alone.
Opportunity cost gives wrong guidance when the forgone option is misidentified, when sunk costs are double-counted, or when the alternative was never realistically available — and a quick 'would I actually choose this if nothing else were on the table?' test reveals most of these traps.
Opportunity cost reliably frames decisions between measurable alternatives of similar scope, but loses explanatory power when options involve incommensurable values, sunk commitments, or irreversible consequences.
The standard error of a mean shrinks as 1/√n, and this same scaling shows up visibly in dice averages, polling margins, and physics timing experiments.
Opportunity cost delivers sharp answers only inside a narrow boundary of comparable, reversible, scale-compatible choices — and it breaks down precisely when decisions become identity-laden, irreversible, or incommensurable.
Opportunity cost is the value of the next-best alternative you forgo, while price is the money exchanged; the two diverge whenever time, attention, or forgone options carry value beyond the transaction itself.
The cost of a choice is the value of the next-best alternative you gave up, not the price you paid.
Machines judge similarity by representing items as numerical vectors and computing the distance between them in a feature space.
TikTok's For You Page learns you from pure watch behavior on strangers' videos, while Instagram's Explore learns you from likes and saves blended with your social graph — that's why they feel different.
We enjoy sad songs because the brain simulates loss in a safe context, triggering consolation neurochemistry such as prolactin that real sorrow does not provide.
流星雨是地球穿过彗星遗留的碎片带时产生的,辐射点是透视造成的视错觉。
镜像反转不是简单的复制粘贴,而是一种把同一形状分成两个对立的'世界'的装置——它制造意义,靠的是让差异在对称中现身。
镜像反转揭示了大脑对'自我视角'的偏好:熟悉的方向会被当作真实,反向则显得陌生,而艺术家和心理学家正是利用这种不对称来制造意义。
Borda count collapses the *ordering* of preferences into *points*, so the size of the margin at each rank — not just the ranking itself — decides the winner, and this lets a candidate who is last against every rival still win overall.
Arrow's impossibility becomes tangible when a single set of ballots reveals three different failures: plurality violates Independence of Irrelevant Alternatives through a spoiler, Borda count violates Condorcet/transitivity via a reversal, and instant-runoff voting fails transitivity through a cycle.