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 = 0.0727
Normalna distribucija, William Sealy Gosset (student) r = 0.0727
Ne normalna distribucija, Spearman r = 0.003
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
0.0682
Slaba pozitivan
0.0206
Slaba pozitivan
0.0941
Slaba negativan
-0.1169
Slaba negativan
-0.0095
Slaba negativan
-0.0471
Slaba pozitivan
0.0198
Answer 2-
Slaba pozitivan
0.0190
Slaba negativan
-0.0033
Slaba pozitivan
0.0434
Slaba negativan
-0.0239
Slaba pozitivan
0.0392
Slaba negativan
-0.0076
Slaba negativan
-0.0554
Answer 3-
Slaba negativan
-0.0211
Slaba negativan
-0.0261
Slaba pozitivan
0.0046
Slaba pozitivan
0.0553
Slaba negativan
-0.0241
Slaba negativan
-0.0108
Slaba pozitivan
0.0075
Answer 4-
Slaba pozitivan
0.0347
Slaba negativan
-0.0051
Slaba pozitivan
0.0149
Slaba negativan
-0.0412
Slaba negativan
-0.0349
Slaba negativan
-0.0076
Slaba pozitivan
0.0450
Answer 5-
Slaba negativan
-0.0083
Slaba negativan
-0.0264
Slaba negativan
-0.0230
Slaba pozitivan
0.0463
Slaba pozitivan
0.0341
Slaba pozitivan
0.0299
Slaba negativan
-0.0519
Answer 6-
Slaba negativan
-0.0218
Slaba negativan
-0.0508
Slaba negativan
-0.0736
Slaba pozitivan
0.0705
Slaba negativan
-0.0112
Slaba pozitivan
0.0486
Slaba pozitivan
0.0122
Answer 7-
Slaba negativan
-0.0631
Slaba pozitivan
0.0931
Slaba negativan
-0.0592
Slaba negativan
-0.0012
Slaba pozitivan
0.0085
Slaba negativan
-0.0037
Slaba pozitivan
0.0235
2) Kontrola (koliko se slažete ili ne slažete?)
Answer 8-
Slaba pozitivan
0.0170
Slaba pozitivan
0.0053
Slaba pozitivan
0.0831
Slaba pozitivan
0.0595
Slaba negativan
-0.0336
Slaba negativan
-0.0794
Slaba negativan
-0.0462
Answer 9-
Slaba pozitivan
0.0253
Slaba negativan
-0.0244
Slaba negativan
-0.0378
Slaba pozitivan
0.0297
Slaba pozitivan
0.0802
Slaba negativan
-0.0117
Slaba negativan
-0.0565
Answer 10-
Slaba pozitivan
0.0050
Slaba negativan
-0.0381
Slaba negativan
-0.0535
Slaba negativan
-0.0207
Slaba pozitivan
0.0068
Slaba pozitivan
0.0608
Slaba pozitivan
0.0303
Answer 11-
Slaba pozitivan
0.0240
Slaba pozitivan
0.0019
Slaba pozitivan
0.0128
Slaba negativan
-0.0592
Slaba negativan
-0.0172
Slaba negativan
-0.0139
Slaba pozitivan
0.0554
Answer 12-
Slaba negativan
-0.0078
Slaba pozitivan
0.0331
Slaba pozitivan
0.0523
Slaba pozitivan
0.0403
Slaba negativan
-0.0665
Slaba pozitivan
0.0086
Slaba negativan
-0.0435
Answer 13-
Slaba negativan
-0.0941
Slaba negativan
-0.0349
Slaba negativan
-0.0132
Slaba pozitivan
0.0111
Slaba pozitivan
0.0173
Slaba pozitivan
0.0730
Slaba pozitivan
0.0037
Answer 14-
Slaba pozitivan
0.0003
Slaba pozitivan
0.0835
Slaba negativan
-0.0344
Slaba negativan
-0.0762
Slaba negativan
-0.0242
Slaba negativan
-0.0104
Slaba pozitivan
0.0768


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 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.
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?