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 = 0.0874

Hindi normal na pamamahagi, ni Spearman r = 0.0039

Ipakita lamang ang mga resulta > r = 0.0874

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 0.0647	Mahina negatibo -0.0402	Mahina positibo 0.1238	Mahina negatibo -0.1305	Mahina positibo 0.0097	Mahina negatibo -0.0535	Mahina positibo 0.0344
Answer 2	-	Mahina positibo 0.0497	Mahina positibo 0.0373	Mahina positibo 0.0295	Mahina negatibo -0.0054	Mahina negatibo -0.0046	Mahina negatibo -0.0176	Mahina negatibo -0.0596
Answer 2	-	Mahina negatibo -0.0307	Mahina negatibo -0.0330	Mahina positibo 0.0063	Mahina positibo 0.0822	Mahina negatibo -0.0127	Mahina negatibo -0.0159	Mahina negatibo -0.0149
Answer 3	-	Mahina negatibo -0.0069	Mahina positibo 0.0432	Mahina positibo 0.0293	Mahina negatibo -0.0238	Mahina negatibo -0.0470	Mahina negatibo -0.0193	Mahina positibo 0.0315
Answer 4	-	Mahina positibo 0.0069	Mahina negatibo -0.0237	Mahina negatibo -0.0152	Mahina positibo 0.0131	Mahina negatibo -0.0018	Mahina positibo 0.0608	Mahina negatibo -0.0308
Answer 5	-	Mahina negatibo -0.0388	Mahina negatibo -0.0576	Mahina negatibo -0.1067	Mahina positibo 0.0816	Mahina positibo 0.0191	Mahina positibo 0.0491	Mahina positibo 0.0162
Answer 6	-	Mahina negatibo -0.0360	Mahina positibo 0.0619	Mahina negatibo -0.0510	Mahina negatibo -0.0486	Mahina positibo 0.0403	Mahina positibo 0.0061	Mahina positibo 0.0322
2) Kontrol (magkano ang sumasang -ayon ka o hindi sumasang -ayon?)
Answer 7	-	Mahina positibo 0.0254	Mahina positibo 0.0424	Mahina positibo 0.1084	Mahina positibo 0.0601	Mahina negatibo -0.0356	Mahina negatibo -0.1149	Mahina negatibo -0.0695
Answer 8	-	Mahina positibo 0.0118	Mahina negatibo -0.0446	Mahina negatibo -0.0559	Mahina positibo 0.0325	Mahina positibo 0.0961	Mahina negatibo -0.0228	Mahina negatibo -0.0252
Answer 8	-	Mahina positibo 0.0535	Mahina negatibo -0.0376	Mahina negatibo -0.0089	Mahina negatibo -0.0281	Mahina negatibo -0.0308	Mahina positibo 0.0262	Mahina positibo 0.0309
Answer 9	-	Mahina positibo 0.0157	Mahina positibo 0.0103	Mahina negatibo -0.0089	Mahina negatibo -0.0482	Mahina positibo 0.0039	Mahina positibo 0.0010	Mahina positibo 0.0318
Answer 10	-	Mahina negatibo -0.0377	Mahina positibo 0.0444	Mahina positibo 0.0304	Mahina positibo 0.0435	Mahina negatibo -0.0755	Mahina positibo 0.0475	Mahina negatibo -0.0432
Answer 11	-	Mahina negatibo -0.1232	Mahina negatibo -0.0353	Mahina negatibo -0.0230	Mahina positibo 0.0330	Mahina negatibo -0.0105	Mahina positibo 0.0883	Mahina positibo 0.0191
Answer 12	-	Mahina positibo 0.0124	Mahina positibo 0.0425	Mahina negatibo -0.0572	Mahina negatibo -0.1125	Mahina positibo 0.0256	Mahina positibo 0.0326	Mahina positibo 0.0763

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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