Casa/Blog/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.

Inteligência artificial e o fim da civilização

charts Correlação

VUCA

O valor crítico do coeficiente de correlação

Distribuição normal, de William Sealy Gosset (aluno) r = 0.0763

Distribuição não normal, por Spearman r = 0.0031

Mostrar apenas resultados > r = 0.0763

Distribuição	Não normal	Normal	Não normal	Normal	Normal	Normal	Normal	Normal
Todas as perguntas Todas as perguntas 1) Segurança (quanto você concorda ou discorda?) 2) Controle (quanto você concorda ou discorda?)
1) Segurança (quanto você concorda ou discorda?)
Answer 1	-	Fraco positivo 0.0780	Negativo fraco -0.0013	Fraco positivo 0.1092	Negativo fraco -0.0965	Negativo fraco -0.0082	Negativo fraco -0.0554	Fraco positivo 0.0083
Answer 2	-	Fraco positivo 0.0290	Negativo fraco -0.0016	Fraco positivo 0.0401	Negativo fraco -0.0312	Fraco positivo 0.0451	Fraco positivo 0.0015	Negativo fraco -0.0620
Answer 3	-	Negativo fraco -0.0142	Negativo fraco -0.0519	Negativo fraco -0.0059	Fraco positivo 0.0485	Negativo fraco -0.0108	Negativo fraco -0.0076	Fraco positivo 0.0174
Answer 4	-	Fraco positivo 0.0204	Fraco positivo 0.0084	Fraco positivo 0.0182	Negativo fraco -0.0414	Negativo fraco -0.0314	Negativo fraco -0.0132	Fraco positivo 0.0495
Answer 5	-	Negativo fraco -0.0036	Negativo fraco -0.0097	Negativo fraco -0.0185	Fraco positivo 0.0477	Negativo fraco -0.0030	Fraco positivo 0.0301	Negativo fraco -0.0557
Answer 6	-	Negativo fraco -0.0414	Negativo fraco -0.0556	Negativo fraco -0.0823	Fraco positivo 0.0795	Negativo fraco -0.0012	Fraco positivo 0.0520	Fraco positivo 0.0146
Answer 7	-	Negativo fraco -0.0600	Fraco positivo 0.1144	Negativo fraco -0.0542	Negativo fraco -0.0096	Fraco positivo 0.0012	Negativo fraco -0.0080	Fraco positivo 0.0241
2) Controle (quanto você concorda ou discorda?)
Answer 8	-	Fraco positivo 0.0283	Fraco positivo 0.0174	Fraco positivo 0.0583	Fraco positivo 0.0581	Negativo fraco -0.0182	Negativo fraco -0.0745	Negativo fraco -0.0550
Answer 9	-	Fraco positivo 0.0097	Negativo fraco -0.0287	Negativo fraco -0.0387	Fraco positivo 0.0305	Fraco positivo 0.0863	Negativo fraco -0.0161	Negativo fraco -0.0470
Answer 10	-	Fraco positivo 0.0190	Negativo fraco -0.0334	Negativo fraco -0.0417	Negativo fraco -0.0013	Negativo fraco -0.0142	Fraco positivo 0.0502	Fraco positivo 0.0176
Answer 11	-	Fraco positivo 0.0358	Fraco positivo 0.0118	Fraco positivo 0.0160	Negativo fraco -0.0628	Negativo fraco -0.0127	Negativo fraco -0.0174	Fraco positivo 0.0434
Answer 12	-	Negativo fraco -0.0211	Fraco positivo 0.0354	Fraco positivo 0.0631	Fraco positivo 0.0352	Negativo fraco -0.0736	Fraco positivo 0.0029	Negativo fraco -0.0414
Answer 13	-	Negativo fraco -0.1112	Negativo fraco -0.0452	Negativo fraco -0.0103	Fraco positivo 0.0029	Fraco positivo 0.0144	Fraco positivo 0.0795	Fraco positivo 0.0259
Answer 14	-	Fraco positivo 0.0038	Fraco positivo 0.0641	Negativo fraco -0.0297	Negativo fraco -0.0850	Negativo fraco -0.0222	Fraco positivo 0.0037	Fraco positivo 0.0820

Exportação para o MS Excel

Esta funcionalidade estará disponível em suas próprias pesquisas VUCA

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

2023.11.27

Valerii Kosenko

Proprietário do produto SaaS Pet Project Sdtest®

Valerii foi qualificado como psicólogo social de pedagogo em 1993 e, desde então, aplicou seu conhecimento em gerenciamento de projetos.
Valerii obteve um mestrado e a qualificação do gerente do projeto e do programa em 2013. Durante o programa de mestrado, ele se familiarizou com o Roteiro do Projeto (GPM Deutsche Gesellschaft für projektmanagement e. V.) e dinâmica em espiral.
Valerii fez vários testes de dinâmica em espiral e usou seu conhecimento e experiência para adaptar a versão atual do SDTEST.
Valerii é o autor de explorar a incerteza do V.U.C.A. Conceito usando dinâmica espiral e estatística matemática em psicologia, mais de 20 pesquisas internacionais.

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