Home/Blogi/AI Assistants Boost Beginners More Than Experts, Study Shows Correlation

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.

Ujuzi wa bandia na mwisho wa maendeleo

chatiUwiano

VUCA

Muhimu thamani ya mgawo uwiano

Usambazaji wa kawaida, na William Sealy Gosset (Mwanafunzi) r = 0.0718

Usambazaji usio wa kawaida, na Spearman r = 0.0029

Onyesha matokeo tu > r = 0.0718

Usambazaji	Sio kawaida	Kawaida	Sio kawaida	Kawaida	Kawaida	Kawaida	Kawaida	Kawaida
Maswali yote Maswali yote 1) Usalama (unakubali au haukubaliani?) 2) Udhibiti (unakubali au haukubaliani?)
1) Usalama (unakubali au haukubaliani?)
Answer 1	-	Chanya dhaifu 0.0708	Chanya dhaifu 0.0197	Chanya dhaifu 0.0942	Hasi dhaifu -0.1158	Chanya dhaifu 0.0007	Hasi dhaifu -0.0461	Chanya dhaifu 0.0163
Answer 2	-	Chanya dhaifu 0.0170	Hasi dhaifu -0.0075	Chanya dhaifu 0.0441	Hasi dhaifu -0.0223	Chanya dhaifu 0.0348	Chanya dhaifu 0.0017	Hasi dhaifu -0.0533
Answer 3	-	Hasi dhaifu -0.0306	Hasi dhaifu -0.0288	Chanya dhaifu 0.0092	Chanya dhaifu 0.0596	Hasi dhaifu -0.0264	Hasi dhaifu -0.0113	Chanya dhaifu 0.0030
Answer 4	-	Chanya dhaifu 0.0348	Hasi dhaifu -0.0106	Chanya dhaifu 0.0164	Hasi dhaifu -0.0570	Hasi dhaifu -0.0332	Chanya dhaifu 0.0046	Chanya dhaifu 0.0562
Answer 5	-	Hasi dhaifu -0.0137	Hasi dhaifu -0.0241	Hasi dhaifu -0.0239	Chanya dhaifu 0.0438	Chanya dhaifu 0.0320	Chanya dhaifu 0.0227	Hasi dhaifu -0.0554
Answer 6	-	Hasi dhaifu -0.0138	Hasi dhaifu -0.0526	Hasi dhaifu -0.0740	Chanya dhaifu 0.0650	Hasi dhaifu -0.0071	Chanya dhaifu 0.0438	Chanya dhaifu 0.0148
Answer 7	-	Hasi dhaifu -0.0554	Chanya dhaifu 0.1068	Hasi dhaifu -0.0652	Chanya dhaifu 0.0149	Chanya dhaifu 0.0042	Hasi dhaifu -0.0171	Chanya dhaifu 0.0168
2) Udhibiti (unakubali au haukubaliani?)
Answer 8	-	Chanya dhaifu 0.0123	Chanya dhaifu 0.0023	Chanya dhaifu 0.0772	Chanya dhaifu 0.0566	Hasi dhaifu -0.0241	Hasi dhaifu -0.0754	Hasi dhaifu -0.0436
Answer 9	-	Chanya dhaifu 0.0168	Hasi dhaifu -0.0315	Hasi dhaifu -0.0355	Chanya dhaifu 0.0207	Chanya dhaifu 0.0870	Hasi dhaifu -0.0030	Hasi dhaifu -0.0551
Answer 10	-	Chanya dhaifu 0.0171	Hasi dhaifu -0.0270	Hasi dhaifu -0.0694	Hasi dhaifu -0.0079	Hasi dhaifu -0.0035	Chanya dhaifu 0.0573	Chanya dhaifu 0.0309
Answer 11	-	Chanya dhaifu 0.0181	Chanya dhaifu 0.0007	Chanya dhaifu 0.0309	Hasi dhaifu -0.0588	Hasi dhaifu -0.0310	Hasi dhaifu -0.0125	Chanya dhaifu 0.0558
Answer 12	-	Hasi dhaifu -0.0034	Chanya dhaifu 0.0263	Chanya dhaifu 0.0655	Chanya dhaifu 0.0322	Hasi dhaifu -0.0684	Hasi dhaifu -0.0152	Hasi dhaifu -0.0352
Answer 13	-	Hasi dhaifu -0.0909	Hasi dhaifu -0.0336	Hasi dhaifu -0.0184	Chanya dhaifu 0.0087	Chanya dhaifu 0.0272	Chanya dhaifu 0.0750	Hasi dhaifu -0.0014
Answer 14	-	Chanya dhaifu 0.0041	Chanya dhaifu 0.0892	Hasi dhaifu -0.0341	Hasi dhaifu -0.0676	Hasi dhaifu -0.0262	Hasi dhaifu -0.0098	Chanya dhaifu 0.0683

Export kwa MS Excel

Kazi hii itapatikana katika uchaguzi wako wa VUCA

Sawa

[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

Mmiliki wa Bidhaa SaaS SDTEST®

Valerii alifuzu kama mwanasaikolojia wa kufundisha jamii mwaka wa 1993 na tangu wakati huo ametumia ujuzi wake katika usimamizi wa mradi.
Valerii alipata Shahada ya Uzamili na kufuzu kwa mradi na meneja wa programu mwaka wa 2013. Wakati wa programu yake ya Uzamili, alipata ujuzi wa Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) na Spiral Dynamics.
Valerii ndiye mwandishi wa kuchunguza kutokuwa na uhakika wa V.U.C.A. dhana kwa kutumia Spiral Dynamics na takwimu za hisabati katika saikolojia, na kura 38 za kimataifa.

Chapisho hili lina 0 Maoni

Jibu kwa

Ghairi jibu

Acha maoni yako