bahay/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.

Artipisyal na katalinuhan at pagtatapos ng sibilisasyon

chart Ugnayan

VUCA

Kritikal ang halaga ng ugnayan koepisyent

Normal na pamamahagi, ni William Sealy Gosset (mag -aaral) r = 0.0727

Hindi normal na pamamahagi, ni Spearman r = 0.003

Ipakita lamang ang mga resulta > r = 0.0727

Pamamahagi	Hindi normal	Normal	Hindi normal	Normal	Normal	Normal	Normal	Normal
Lahat ng mga katanungan Lahat ng mga katanungan 1) Kaligtasan (magkano ang sumasang -ayon ka o hindi sumasang -ayon?) 2) Kontrol (magkano ang sumasang -ayon ka o hindi sumasang -ayon?)
1) Kaligtasan (magkano ang sumasang -ayon ka o hindi sumasang -ayon?)
Answer 1	-	Mahina positibo 0.0734	Mahina positibo 0.0222	Mahina positibo 0.0930	Mahina negatibo -0.1129	Mahina negatibo -0.0082	Mahina negatibo -0.0441	Mahina positibo 0.0172
Answer 2	-	Mahina positibo 0.0176	Mahina negatibo -0.0064	Mahina positibo 0.0439	Mahina negatibo -0.0235	Mahina positibo 0.0411	Mahina negatibo -0.0037	Mahina negatibo -0.0536
Answer 2	-	Mahina negatibo -0.0237	Mahina negatibo -0.0293	Mahina positibo 0.0041	Mahina positibo 0.0580	Mahina negatibo -0.0254	Mahina negatibo -0.0131	Mahina positibo 0.0056
Answer 3	-	Mahina positibo 0.0353	Mahina negatibo -0.0020	Mahina positibo 0.0147	Mahina negatibo -0.0434	Mahina negatibo -0.0329	Mahina negatibo -0.0045	Mahina positibo 0.0461
Answer 4	-	Mahina negatibo -0.0159	Mahina negatibo -0.0257	Mahina negatibo -0.0233	Mahina positibo 0.0425	Mahina positibo 0.0329	Mahina positibo 0.0241	Mahina negatibo -0.0546
Answer 5	-	Mahina negatibo -0.0137	Mahina negatibo -0.0525	Mahina negatibo -0.0709	Mahina positibo 0.0701	Mahina negatibo -0.0147	Mahina positibo 0.0443	Mahina positibo 0.0137
Answer 6	-	Mahina negatibo -0.0651	Mahina positibo 0.0972	Mahina negatibo -0.0603	Mahina negatibo -0.0026	Mahina positibo 0.0092	Mahina negatibo -0.0026	Mahina positibo 0.0252
2) Kontrol (magkano ang sumasang -ayon ka o hindi sumasang -ayon?)
Answer 7	-	Mahina positibo 0.0139	Mahina positibo 0.0048	Mahina positibo 0.0805	Mahina positibo 0.0622	Mahina negatibo -0.0317	Mahina negatibo -0.0783	Mahina negatibo -0.0456
Answer 8	-	Mahina positibo 0.0230	Mahina negatibo -0.0258	Mahina negatibo -0.0352	Mahina positibo 0.0274	Mahina positibo 0.0832	Mahina negatibo -0.0126	Mahina negatibo -0.0582
Answer 8	-	Mahina positibo 0.0143	Mahina negatibo -0.0423	Mahina negatibo -0.0553	Mahina negatibo -0.0195	Mahina positibo 0.0021	Mahina positibo 0.0614	Mahina positibo 0.0320
Answer 9	-	Mahina positibo 0.0256	Mahina positibo 0.0035	Mahina positibo 0.0149	Mahina negatibo -0.0597	Mahina negatibo -0.0187	Mahina negatibo -0.0176	Mahina positibo 0.0573
Answer 10	-	Mahina negatibo -0.0173	Mahina positibo 0.0347	Mahina positibo 0.0531	Mahina positibo 0.0412	Mahina negatibo -0.0701	Mahina positibo 0.0068	Mahina negatibo -0.0464
Answer 11	-	Mahina negatibo -0.0930	Mahina negatibo -0.0342	Mahina negatibo -0.0141	Mahina positibo 0.0112	Mahina positibo 0.0211	Mahina positibo 0.0739	Mahina positibo 0.0020
Answer 12	-	Mahina positibo 0.0002	Mahina positibo 0.0882	Mahina negatibo -0.0341	Mahina negatibo -0.0785	Mahina negatibo -0.0241	Mahina negatibo -0.0070	Mahina positibo 0.0777

I-export sa MS Excel

Ang pag-andar na ito ay magagamit sa iyong sariling VUCA polls

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

2023.11.27

Valerii Kosenko

May-ari ng Produkto SaaS SDTEST®

Si Valerii ay kwalipikado bilang isang social pedagogue-psychologist noong 1993 at mula noon ay inilapat ang kanyang kaalaman sa pamamahala ng proyekto.
Nakakuha si Valerii ng Master's degree at ang project at program manager qualification noong 2013. Sa panahon ng kanyang Master's program, naging pamilyar siya sa Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) at Spiral Dynamics.
Si Valerii ang may-akda ng paggalugad sa kawalan ng katiyakan ng V.U.C.A. konsepto gamit ang Spiral Dynamics at mathematical statistics sa psychology, at 38 international poll.

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