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 = 0.0763

Hindi normal na pamamahagi, ni Spearman r = 0.0031

Ipakita lamang ang mga resulta > r = 0.0763

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 0.0780	Mahina negatibo -0.0013	Mahina positibo 0.1092	Mahina negatibo -0.0965	Mahina negatibo -0.0082	Mahina negatibo -0.0554	Mahina positibo 0.0083
Answer 2	-	Mahina positibo 0.0290	Mahina negatibo -0.0016	Mahina positibo 0.0401	Mahina negatibo -0.0312	Mahina positibo 0.0451	Mahina positibo 0.0015	Mahina negatibo -0.0620
Answer 2	-	Mahina negatibo -0.0142	Mahina negatibo -0.0519	Mahina negatibo -0.0059	Mahina positibo 0.0485	Mahina negatibo -0.0108	Mahina negatibo -0.0076	Mahina positibo 0.0174
Answer 3	-	Mahina positibo 0.0204	Mahina positibo 0.0084	Mahina positibo 0.0182	Mahina negatibo -0.0414	Mahina negatibo -0.0314	Mahina negatibo -0.0132	Mahina positibo 0.0495
Answer 4	-	Mahina negatibo -0.0036	Mahina negatibo -0.0097	Mahina negatibo -0.0185	Mahina positibo 0.0477	Mahina negatibo -0.0030	Mahina positibo 0.0301	Mahina negatibo -0.0557
Answer 5	-	Mahina negatibo -0.0414	Mahina negatibo -0.0556	Mahina negatibo -0.0823	Mahina positibo 0.0795	Mahina negatibo -0.0012	Mahina positibo 0.0520	Mahina positibo 0.0146
Answer 6	-	Mahina negatibo -0.0600	Mahina positibo 0.1144	Mahina negatibo -0.0542	Mahina negatibo -0.0096	Mahina positibo 0.0012	Mahina negatibo -0.0080	Mahina positibo 0.0241
2) Kontrol (magkano ang sumasang -ayon ka o hindi sumasang -ayon?)
Answer 7	-	Mahina positibo 0.0283	Mahina positibo 0.0174	Mahina positibo 0.0583	Mahina positibo 0.0581	Mahina negatibo -0.0182	Mahina negatibo -0.0745	Mahina negatibo -0.0550
Answer 8	-	Mahina positibo 0.0097	Mahina negatibo -0.0287	Mahina negatibo -0.0387	Mahina positibo 0.0305	Mahina positibo 0.0863	Mahina negatibo -0.0161	Mahina negatibo -0.0470
Answer 8	-	Mahina positibo 0.0190	Mahina negatibo -0.0334	Mahina negatibo -0.0417	Mahina negatibo -0.0013	Mahina negatibo -0.0142	Mahina positibo 0.0502	Mahina positibo 0.0176
Answer 9	-	Mahina positibo 0.0358	Mahina positibo 0.0118	Mahina positibo 0.0160	Mahina negatibo -0.0628	Mahina negatibo -0.0127	Mahina negatibo -0.0174	Mahina positibo 0.0434
Answer 10	-	Mahina negatibo -0.0211	Mahina positibo 0.0354	Mahina positibo 0.0631	Mahina positibo 0.0352	Mahina negatibo -0.0736	Mahina positibo 0.0029	Mahina negatibo -0.0414
Answer 11	-	Mahina negatibo -0.1112	Mahina negatibo -0.0452	Mahina negatibo -0.0103	Mahina positibo 0.0029	Mahina positibo 0.0144	Mahina positibo 0.0795	Mahina positibo 0.0259
Answer 12	-	Mahina positibo 0.0038	Mahina positibo 0.0641	Mahina negatibo -0.0297	Mahina negatibo -0.0850	Mahina negatibo -0.0222	Mahina positibo 0.0037	Mahina positibo 0.0820

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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