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 = 0.084

Hindi normal na pamamahagi, ni Spearman r = 0.0036

Ipakita lamang ang mga resulta > r = 0.084

Pamamahagi	Hindi normal	Normal	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 0.0782	Mahina negatibo -0.0194	Mahina positibo 0.1068	Mahina negatibo -0.1237	Mahina positibo 0.0211	Mahina negatibo -0.0558	Mahina positibo 0.0212
Answer 2	-	Mahina positibo 0.0296	Mahina positibo 0.0231	Mahina positibo 0.0400	Mahina negatibo -0.0012	Mahina positibo 0.0132	Mahina negatibo -0.0053	Mahina negatibo -0.0711
Answer 2	-	Mahina negatibo -0.0075	Mahina negatibo -0.0330	Mahina negatibo -0.0036	Mahina positibo 0.0550	Mahina negatibo -0.0054	Mahina negatibo -0.0144	Mahina negatibo -0.0108
Answer 3	-	Mahina positibo 0.0045	Mahina positibo 0.0259	Mahina positibo 0.0324	Mahina negatibo -0.0203	Mahina negatibo -0.0601	Mahina negatibo -0.0206	Mahina positibo 0.0472
Answer 4	-	Mahina positibo 0.0071	Mahina negatibo -0.0184	Mahina negatibo -0.0280	Mahina positibo 0.0166	Mahina positibo 0.0164	Mahina positibo 0.0252	Mahina negatibo -0.0339
Answer 5	-	Mahina negatibo -0.0457	Mahina negatibo -0.0552	Mahina negatibo -0.1004	Mahina positibo 0.0896	Mahina positibo 0.0092	Mahina positibo 0.0466	Mahina positibo 0.0190
Answer 6	-	Mahina negatibo -0.0566	Mahina positibo 0.0719	Mahina negatibo -0.0421	Mahina negatibo -0.0405	Mahina positibo 0.0116	Mahina positibo 0.0233	Mahina positibo 0.0372
2) Kontrol (magkano ang sumasang -ayon ka o hindi sumasang -ayon?)
Answer 7	-	Mahina positibo 0.0261	Mahina positibo 0.0447	Mahina positibo 0.0766	Mahina positibo 0.0706	Mahina negatibo -0.0209	Mahina negatibo -0.1053	Mahina negatibo -0.0740
Answer 8	-	Mahina positibo 0.0256	Mahina negatibo -0.0460	Mahina negatibo -0.0393	Mahina negatibo -0.0056	Mahina positibo 0.0960	Mahina negatibo -0.0292	Mahina negatibo -0.0080
Answer 8	-	Mahina positibo 0.0471	Mahina negatibo -0.0248	Mahina negatibo -0.0245	Mahina negatibo -0.0183	Mahina negatibo -0.0291	Mahina positibo 0.0256	Mahina positibo 0.0316
Answer 9	-	Mahina positibo 0.0191	Mahina positibo 0.0042	Mahina positibo 0.0053	Mahina negatibo -0.0398	Mahina positibo 0.0012	Mahina negatibo -0.0115	Mahina positibo 0.0295
Answer 10	-	Mahina negatibo -0.0507	Mahina positibo 0.0353	Mahina positibo 0.0299	Mahina positibo 0.0534	Mahina negatibo -0.0671	Mahina positibo 0.0424	Mahina negatibo -0.0536
Answer 11	-	Mahina negatibo -0.1113	Mahina negatibo -0.0431	Mahina positibo 0.0030	Mahina positibo 0.0204	Mahina negatibo -0.0120	Mahina positibo 0.0925	Mahina positibo 0.0106
Answer 12	-	Mahina negatibo -0.0076	Mahina positibo 0.0455	Mahina negatibo -0.0575	Mahina negatibo -0.0913	Mahina negatibo -0.0036	Mahina positibo 0.0486	Mahina positibo 0.0789

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 Pet Project Sdtest®

Si Valerii ay kwalipikado bilang isang panlipunang pedagogue-psychologist noong 1993 at mula nang inilapat ang kanyang kaalaman sa pamamahala ng proyekto.
Nakuha ni Valerii ang isang Master's Degree at ang Project and Program Manager Qualification noong 2013. Sa panahon ng kanyang programa ng Master, naging pamilyar siya sa Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) at Spiral Dynamics.
Kinuha ni Valerii ang iba't ibang mga pagsubok sa dinamika ng spiral at ginamit ang kanyang kaalaman at karanasan upang iakma ang kasalukuyang bersyon ng Sdtest.
Si Valerii ay may -akda ng paggalugad ng kawalan ng katiyakan ng V.U.C.A. Konsepto gamit ang mga spiral dinamika at istatistika ng matematika sa sikolohiya, higit sa 20 internasyonal na botohan.

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