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Vadzidzi vebhodhi rechikoro cheChicago vanosaina chitsidzo chekurambidza kushandiswa kweAI muzvikoro

Vanosvika hafu yevadzidzi makumi mana nevashanu vari kukwikwidza kubhodhi rechikoro cheChicago vakasaina chisungo chekurambidza makore matatu kushandiswa kwenjere nevadzidzi veCPS nevadzidzisi.

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Source-provided image accompanying Chicago school board candidates sign pledge to ban AI use in schools
Source referenceKwakanyorwa
Muparidzi
wbez.org
Source link
wbez.orghttps://www.wbez.org/education/2026/09/10/chicago-school-board-candidates-sign-pledge-to-ban-ai-use-in-schools
Source type
Yakabatanidzwa sosi - yekutanga-sosi mamiriro haasati asimbiswa.
ContextNzwisisa izvi mumasekonzi makumi matanhatu

Tanga pano

Matemu akakosha

Artificial Intelligence (AI)
Nzvimbo yakafara yekuvaka masisitimu anoita mabasa anoda kucherechedzwa kwepateni, kufunga, mutauro, kana kuita sarudzo.
Zviedze iwe pachakoAI Ethics Quiz

Chii chaitika

Vanosvika hafu yevadzidzi makumi mana nevashanu vari kukwikwidza kubhodhi rechikoro cheChicago vakasaina chisungo chekurambidza makore matatu kushandiswa kwenjere nevadzidzi veCPS nevadzidzisi. Chivimbiso chinodaidzirawo kubvisa nguva yechikoro chechikoro pamberi pegiredhi rechitatu uye kuimisa mumakiredhi anotevera. Inoda kuti dunhu rihaye mukuru wezvekuvanzika uye kurambidza kuunganidzwa kwedata rebiometric yemudzidzi, senge marekodhi ezwi akatorwa nesoftware yekuverenga.

Chitsidzo ichi chakagadzirwa neasina purofiti yemuno uye chakasainwa nevanokwikwidza makumi maviri nevana vari kumirira bhodhi rechikoro cheChicago.

Chitsidzo ichi chinoda kurambidzwa kwemakore matatu kushandiswa kweAI muzvikoro zveCPS, pamwe nekubviswa kwechikoro nguva isati yasvika giredhi rechitatu uye kudzikiswa kwenguva yescreen mumagiredhi anotevera.

Chisungo ichi chinodawo kuti dunhu ritore mukuru wezvekuvanzika uye kurambidza kuunganidzwa kwedata rebiometric, semarekodhi ezwi akatorwa nesoftware yekuverenga.

Vamwe vavhoti vakaratidza kushushikana kuti kurambidzwa zvachose kunogona kusaita basa uye kudzikisira kugona kwedunhu kudzidzisa vana nzira yekufambisa AI zvakachengeteka.

Dunhu rakataura kuti rinoramba rakazvipira kuita zvine hungwaru pakushandisa AI muzvikoro, asi harina kutora danho pamhiko.

Kwakabva mashoko: wbez.org β†—

Nei zvichikosha

Chitsidzo imhinduro yekunetseka kuri kukura nezve njodzi dzeAI mudzidzo, kunyanya maererano nekuvanzika kwedata revadzidzi uye mukana weAI kukanganisa hunyanzvi hwekufunga. Chisungo ichi chakasainwa nevanokwikwidza makumi maviri nevana, asi vamwe vakaratidza kushushikana kuti kurambidzwa zvachose kunogona kusaita basa uye kudzikisira kugona kwedunhu kudzidzisa vana nzira yekufambisa AI zvakachengeteka.

Chitsidzo imhinduro yekunetseka kuri kukura nezve njodzi dzeAI mudzidzo, kunyanya maererano nekuvanzika kwedata revadzidzi uye mukana weAI kukanganisa hunyanzvi hwekufunga.

Chisungo ichi chakasainwa nevanokwikwidza makumi maviri nevana, asi vamwe vakaratidza kushushikana kuti kurambidzwa zvachose kunogona kusaita basa uye kudzikisira kugona kwedunhu kudzidzisa vana nzira yekufambisa AI zvakachengeteka.

Maitiro edunhu pakushandiswa kweAI muzvikoro uye zvingangokanganisa kudzidza kwevadzidzi uye kuvanzika kwedata ndizvo zvinonyanya kunetsa.

Chitsidzo chikamu chechimiro chakakura chenyika chevabereki nevadzidzisi vachisundidzira kumashure kushandiswa kweAI mudzidzo.

Migumisiro inogona kuitika yemhiko, kusanganisira kukanganisa pakudzidza kwevadzidzi uye kuvanzika kwedata, hazvisati zvanyatsojeka.

Interactive Mechanism

Interactive Mechanism: Iyo Inonyatsoshanda

Ongorora ari pasi tekinoroji kuseri kwekusimudzira uku uchipindirana.

Thinking Budget (Test-Time Tokens):1,024 tokens
Complex Accuracy79%Math & Code Logic
Latency3.2sTime to first full output
Inference Cost$0.0092Per query estimated
Reasoning StyleStep VerificationInternal chain depth
Active Thinking Trace:
1Deconstruct user problem into formal constraints
2Propose candidate hypotheses & step-by-step calculation
3Self-correction: Backtrack and refute subtle edge cases
4Exhaustive consistency check & final output synthesis
Core takeaway: Test-time compute fundamentally changes AI economics. Instead of only scaling during pre-training, giving reasoning models more tokens at inference time allows them to systematically solve PhD-level STEM problems.
Interactive Concept Check+10 Points
AI Ethics Quiz

Why can ethical evaluation not be reduced to one model score?

Zvekutarisa zvinotevera

Sarudzo yebhodhi rechikoro cheChicago uye nekugona kuita kwechitsidzo. Maitiro edunhu pakushandiswa kweAI muzvikoro uye zvinogona kukanganisa kudzidza kwevadzidzi uye kuvanzika kwedata.

Sarudzo yebhodhi rechikoro cheChicago uye nekugona kuita kwechitsidzo.

Maitiro edunhu pakushandiswa kweAI muzvikoro uye zvinogona kukanganisa kudzidza kwevadzidzi uye kuvanzika kwedata.

Migumisiro inogona kuitika yemhiko, kusanganisira kukanganisa pakudzidza kwevadzidzi uye kuvanzika kwedata.

Maitiro enyika evabereki nevadzidzisi vachisundidzira kumashure kushandiswa kweAI mudzidzo.

Iko kugona kweAI kukanganisa hunyanzvi hwekufunga uye kukosha kwekudzidzisa vana nzira yekufambisa AI zvakachengeteka.

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