AI Assistants Boost Beginners More Than Experts, Study Shows Correlation

There once was an AI named Chat who was really good at repeating back information it already knew. One day, Chat was given to some office workers [1] to help them with their jobs. Some of the workers were experts at their jobs, while others were still learning.  


At first, Chat helped all the workers get more work done faster - even the experts! But soon, the experts noticed something funny. The workers who were still learning got way MORE help from Chat. The new workers improved a lot using Chat, doing their work faster and better than ever before!   


The experts wondered why Chat didn't help them as much. That's when they realized - that Chat is an expert at repeating back facts but can't come up with brand new ideas. So, for workers who already knew those facts, Chat didn't offer them that much new help. But for newer workers still learning those basics, Chat was able to teach them so much more!


This shows a correlation - as in, two things that relate to each other and change together. The more expert a worker already was, the less helpful Chat was for them. But for newer workers, Chat could help them almost as much as the experts! It's because of their different starting points. Chat has a limit to how expert it can be. So, the closer a worker already was to Chat's expertise, the less new stuff Chat offered them.


The experts and newbies improved at different rates thanks to Chat. Their own expertise compared to Chat's matters for how much more they can learn. That connection in how much they improve is the correlation!


The SDTEST® gives clues to someone's motivational values. However, additional polls can provide more pieces of the puzzle.


Imagine also giving an "A.I. and the end of civilization" poll. It asks people to rate at the agree or disagree level. 


Now imagine 100 people who took both tests. You could match up each person's SDTEST® colors with their rated answers about the danger of AI.


Comparing tests gives an expanded picture of values in action. More puzzle pieces make the whole image more apparent!


Multiple tests can work together, like colors blending on a palette. Other polls reveal what engages your values, like what is the perception of the danger of AI. Combined, they paint a richer picture of what motivates our thoughts and deeds.


Below you can read an abridged version of the results of our VUCA poll “A.I. and the end of civilization“. The full results of the poll are available for free in the FAQ section after login or registration.


Umjetna inteligencija i kraj civilizacije

KartePoveznica
?
Evo odnosa između odgovora ankete i testnih boja spiralne dinamike
VUCA
?
Evo novog prikaza korelacije sučelja u tablici prema razinama spiralne dinamike gdje su volatilnost, nesigurnost, složenost i dvosmislenost (V.U.C.A.) prikazani pozitivnim i negativnim ovisnostima o reakcijama ankete i boja spiralne dinamike boja
Zemlja
Jezik
-
Mail
Preračunati
Kritična vrijednost koeficijenta korelacije
Normalna distribucija, William Sealy Gosset (student) r = 0.0718
Normalna distribucija, William Sealy Gosset (student) r = 0.0718
Ne normalna distribucija, Spearman r = 0.0029
DistribucijaNe
normalan
NormalanNe
normalan
NormalanNormalanNormalanNormalanNormalan
Sva pitanja
Sva pitanja
1) Sigurnost (koliko se slažete ili se ne slažete?)
2) Kontrola (koliko se slažete ili ne slažete?)
1) Sigurnost (koliko se slažete ili se ne slažete?)
Answer 1-
Slaba pozitivan
0.0708
Slaba pozitivan
0.0197
Slaba pozitivan
0.0942
Slaba negativan
-0.1158
Slaba pozitivan
0.0007
Slaba negativan
-0.0461
Slaba pozitivan
0.0163
Answer 2-
Slaba pozitivan
0.0170
Slaba negativan
-0.0075
Slaba pozitivan
0.0441
Slaba negativan
-0.0223
Slaba pozitivan
0.0348
Slaba pozitivan
0.0017
Slaba negativan
-0.0533
Answer 3-
Slaba negativan
-0.0306
Slaba negativan
-0.0288
Slaba pozitivan
0.0092
Slaba pozitivan
0.0596
Slaba negativan
-0.0264
Slaba negativan
-0.0113
Slaba pozitivan
0.0030
Answer 4-
Slaba pozitivan
0.0348
Slaba negativan
-0.0106
Slaba pozitivan
0.0164
Slaba negativan
-0.0570
Slaba negativan
-0.0332
Slaba pozitivan
0.0046
Slaba pozitivan
0.0562
Answer 5-
Slaba negativan
-0.0137
Slaba negativan
-0.0241
Slaba negativan
-0.0239
Slaba pozitivan
0.0438
Slaba pozitivan
0.0320
Slaba pozitivan
0.0227
Slaba negativan
-0.0554
Answer 6-
Slaba negativan
-0.0138
Slaba negativan
-0.0526
Slaba negativan
-0.0740
Slaba pozitivan
0.0650
Slaba negativan
-0.0071
Slaba pozitivan
0.0438
Slaba pozitivan
0.0148
Answer 7-
Slaba negativan
-0.0554
Slaba pozitivan
0.1068
Slaba negativan
-0.0652
Slaba pozitivan
0.0149
Slaba pozitivan
0.0042
Slaba negativan
-0.0171
Slaba pozitivan
0.0168
2) Kontrola (koliko se slažete ili ne slažete?)
Answer 8-
Slaba pozitivan
0.0123
Slaba pozitivan
0.0023
Slaba pozitivan
0.0772
Slaba pozitivan
0.0566
Slaba negativan
-0.0241
Slaba negativan
-0.0754
Slaba negativan
-0.0436
Answer 9-
Slaba pozitivan
0.0168
Slaba negativan
-0.0315
Slaba negativan
-0.0355
Slaba pozitivan
0.0207
Slaba pozitivan
0.0870
Slaba negativan
-0.0030
Slaba negativan
-0.0551
Answer 10-
Slaba pozitivan
0.0171
Slaba negativan
-0.0270
Slaba negativan
-0.0694
Slaba negativan
-0.0079
Slaba negativan
-0.0035
Slaba pozitivan
0.0573
Slaba pozitivan
0.0309
Answer 11-
Slaba pozitivan
0.0181
Slaba pozitivan
0.0007
Slaba pozitivan
0.0309
Slaba negativan
-0.0588
Slaba negativan
-0.0310
Slaba negativan
-0.0125
Slaba pozitivan
0.0558
Answer 12-
Slaba negativan
-0.0034
Slaba pozitivan
0.0263
Slaba pozitivan
0.0655
Slaba pozitivan
0.0322
Slaba negativan
-0.0684
Slaba negativan
-0.0152
Slaba negativan
-0.0352
Answer 13-
Slaba negativan
-0.0909
Slaba negativan
-0.0336
Slaba negativan
-0.0184
Slaba pozitivan
0.0087
Slaba pozitivan
0.0272
Slaba pozitivan
0.0750
Slaba negativan
-0.0014
Answer 14-
Slaba pozitivan
0.0041
Slaba pozitivan
0.0892
Slaba negativan
-0.0341
Slaba negativan
-0.0676
Slaba negativan
-0.0262
Slaba negativan
-0.0098
Slaba pozitivan
0.0683


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[1] https://www.ft.com/content/b2928076-5c52-43e9-8872-08fda2aa2fcf


2023.11.27
FearpersonqualitiesprojectorganizationalstructureRACIresponsibilitymatrixCritical ChainProject Managementfocus factorJiraempathyleadersbossGermanyChinaPolicyUkraineRussiawarvolatilityuncertaintycomplexityambiguityVUCArelocatejobproblemcountryreasongive upobjectivekeyresultmathematicalpsychologyMBTIHR metricsstandardDEIcorrelationriskscoringmodelGame TheoryPrisoner's Dilemma
Valerii kosenko
Vlasnik proizvoda SaaS SDTEST®

Valerii je 1993. godine stekao zvanje socijalnog pedagoga-psihologa i od tada svoje znanje primjenjuje u upravljanju projektima.
Valerii je 2013. stekao magisterij i kvalifikaciju voditelja projekta i programa. Tijekom magistarskog programa upoznao se s Planom projekta (GPM Deutsche Gesellschaft für Projektmanagement e. V.) i Spiralnom dinamikom.
Valerii je autor istraživanja neizvjesnosti V.U.C.A. koncept koji koristi Spiralnu dinamiku i matematičku statistiku u psihologiji, te 38 međunarodnih anketa.
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Bok tamo! Dopustite mi da vas pitam, da li ste već upoznati sa spiralnom dinamikom?