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

Zemlja
Jezik
-
Mail
Preračunati
Kritična vrijednost koeficijenta korelacije
Normalna distribucija, William Sealy Gosset (student) r = 0.0763
Normalna distribucija, William Sealy Gosset (student) r = 0.0763
Ne normalna distribucija, Spearman r = 0.0031
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
0.0780
Slaba negativan
-0.0013
Slaba pozitivan
0.1092
Slaba negativan
-0.0965
Slaba negativan
-0.0082
Slaba negativan
-0.0554
Slaba pozitivan
0.0083
Answer 2-
Slaba pozitivan
0.0290
Slaba negativan
-0.0016
Slaba pozitivan
0.0401
Slaba negativan
-0.0312
Slaba pozitivan
0.0451
Slaba pozitivan
0.0015
Slaba negativan
-0.0620
Answer 3-
Slaba negativan
-0.0142
Slaba negativan
-0.0519
Slaba negativan
-0.0059
Slaba pozitivan
0.0485
Slaba negativan
-0.0108
Slaba negativan
-0.0076
Slaba pozitivan
0.0174
Answer 4-
Slaba pozitivan
0.0204
Slaba pozitivan
0.0084
Slaba pozitivan
0.0182
Slaba negativan
-0.0414
Slaba negativan
-0.0314
Slaba negativan
-0.0132
Slaba pozitivan
0.0495
Answer 5-
Slaba negativan
-0.0036
Slaba negativan
-0.0097
Slaba negativan
-0.0185
Slaba pozitivan
0.0477
Slaba negativan
-0.0030
Slaba pozitivan
0.0301
Slaba negativan
-0.0557
Answer 6-
Slaba negativan
-0.0414
Slaba negativan
-0.0556
Slaba negativan
-0.0823
Slaba pozitivan
0.0795
Slaba negativan
-0.0012
Slaba pozitivan
0.0520
Slaba pozitivan
0.0146
Answer 7-
Slaba negativan
-0.0600
Slaba pozitivan
0.1144
Slaba negativan
-0.0542
Slaba negativan
-0.0096
Slaba pozitivan
0.0012
Slaba negativan
-0.0080
Slaba pozitivan
0.0241
2) Kontrola (koliko se slažete ili ne slažete?)
Answer 8-
Slaba pozitivan
0.0283
Slaba pozitivan
0.0174
Slaba pozitivan
0.0583
Slaba pozitivan
0.0581
Slaba negativan
-0.0182
Slaba negativan
-0.0745
Slaba negativan
-0.0550
Answer 9-
Slaba pozitivan
0.0097
Slaba negativan
-0.0287
Slaba negativan
-0.0387
Slaba pozitivan
0.0305
Slaba pozitivan
0.0863
Slaba negativan
-0.0161
Slaba negativan
-0.0470
Answer 10-
Slaba pozitivan
0.0190
Slaba negativan
-0.0334
Slaba negativan
-0.0417
Slaba negativan
-0.0013
Slaba negativan
-0.0142
Slaba pozitivan
0.0502
Slaba pozitivan
0.0176
Answer 11-
Slaba pozitivan
0.0358
Slaba pozitivan
0.0118
Slaba pozitivan
0.0160
Slaba negativan
-0.0628
Slaba negativan
-0.0127
Slaba negativan
-0.0174
Slaba pozitivan
0.0434
Answer 12-
Slaba negativan
-0.0211
Slaba pozitivan
0.0354
Slaba pozitivan
0.0631
Slaba pozitivan
0.0352
Slaba negativan
-0.0736
Slaba pozitivan
0.0029
Slaba negativan
-0.0414
Answer 13-
Slaba negativan
-0.1112
Slaba negativan
-0.0452
Slaba negativan
-0.0103
Slaba pozitivan
0.0029
Slaba pozitivan
0.0144
Slaba pozitivan
0.0795
Slaba pozitivan
0.0259
Answer 14-
Slaba pozitivan
0.0038
Slaba pozitivan
0.0641
Slaba negativan
-0.0297
Slaba negativan
-0.0850
Slaba negativan
-0.0222
Slaba pozitivan
0.0037
Slaba pozitivan
0.0820


Izvoz u MS Excel
Ova funkcija će biti dostupna u vlastitim anketama VUCA
U redu



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


2023.11.27
Valerii kosenko
Vlasnik proizvoda SaaS Pet Project SdTest®

Valerii je 1993. kvalificiran kao socijalni pedagogue-psiholog i od tada je svoje znanje primijenio u upravljanju projektima.
Valerii je stekao magisterij, a kvalifikacija za projekt i voditelj programa 2013. godine. Tijekom svog magistriranog programa upoznao se s Project Roadmapom (GPM Deutsche Gesellschaft Für Projektmanagement E. V.) i Spiral Dynamics.
Valerii je uzeo razne testove spiralne dinamike i iskoristio svoje znanje i iskustvo kako bi prilagodio trenutnu verziju SDTEST -a.
Valerii je autor istraživanja neizvjesnosti V.U.C.A. Koncept koji koristi spiralnu dinamiku i matematičku statistiku u psihologiji, više od 20 međunarodnih anketa.
Ovaj post ima 0 Komentari
Odgovarati na
Otkazati odgovor
Ostavite svoj komentar
×
Pronađete pogrešku
PREDLAGATI SVOJ ispravnu verziju
Upišite svoju e-mail po želji
Poslati
Otkazati
Redirect to your region's domain sdtest.us ?
YES
NO
Bot
sdtest
1
Bok tamo! Dopustite mi da vas pitam, da li ste već upoznati sa spiralnom dinamikom?