Shtëpi/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.

Inteligjenca artificiale dhe fundi i civilizimit

Charts Korrelacion

VUCA

Vlera kritike e koeficient korrelacioni

Shpërndarja normale, nga William Sealy Gosset (Student) r = 0.0727

Shpërndarje jo normale, nga Spearman r = 0.003

Tregoni vetëm rezultate > r = 0.0727

Shpërndarje	Jo normal	Normal	Jo normal	Normal	Normal	Normal	Normal	Normal
Të gjitha pyetjet Të gjitha pyetjet 1) Siguria (Sa jeni dakord ose nuk jeni dakord?) 2) Kontroll (sa jeni dakord apo nuk jeni dakord?)
1) Siguria (Sa jeni dakord ose nuk jeni dakord?)
Answer 1	-	Pozitiv i dobët 0.0682	Pozitiv i dobët 0.0206	Pozitiv i dobët 0.0941	Negative dobët -0.1169	Negative dobët -0.0095	Negative dobët -0.0471	Pozitiv i dobët 0.0198
Answer 2	-	Pozitiv i dobët 0.0190	Negative dobët -0.0033	Pozitiv i dobët 0.0434	Negative dobët -0.0239	Pozitiv i dobët 0.0392	Negative dobët -0.0076	Negative dobët -0.0554
Answer 3	-	Negative dobët -0.0211	Negative dobët -0.0261	Pozitiv i dobët 0.0046	Pozitiv i dobët 0.0553	Negative dobët -0.0241	Negative dobët -0.0108	Pozitiv i dobët 0.0075
Answer 4	-	Pozitiv i dobët 0.0347	Negative dobët -0.0051	Pozitiv i dobët 0.0149	Negative dobët -0.0412	Negative dobët -0.0349	Negative dobët -0.0076	Pozitiv i dobët 0.0450
Answer 5	-	Negative dobët -0.0083	Negative dobët -0.0264	Negative dobët -0.0230	Pozitiv i dobët 0.0463	Pozitiv i dobët 0.0341	Pozitiv i dobët 0.0299	Negative dobët -0.0519
Answer 6	-	Negative dobët -0.0218	Negative dobët -0.0508	Negative dobët -0.0736	Pozitiv i dobët 0.0705	Negative dobët -0.0112	Pozitiv i dobët 0.0486	Pozitiv i dobët 0.0122
Answer 7	-	Negative dobët -0.0631	Pozitiv i dobët 0.0931	Negative dobët -0.0592	Negative dobët -0.0012	Pozitiv i dobët 0.0085	Negative dobët -0.0037	Pozitiv i dobët 0.0235
2) Kontroll (sa jeni dakord apo nuk jeni dakord?)
Answer 8	-	Pozitiv i dobët 0.0170	Pozitiv i dobët 0.0053	Pozitiv i dobët 0.0831	Pozitiv i dobët 0.0595	Negative dobët -0.0336	Negative dobët -0.0794	Negative dobët -0.0462
Answer 9	-	Pozitiv i dobët 0.0253	Negative dobët -0.0244	Negative dobët -0.0378	Pozitiv i dobët 0.0297	Pozitiv i dobët 0.0802	Negative dobët -0.0117	Negative dobët -0.0565
Answer 10	-	Pozitiv i dobët 0.0050	Negative dobët -0.0381	Negative dobët -0.0535	Negative dobët -0.0207	Pozitiv i dobët 0.0068	Pozitiv i dobët 0.0608	Pozitiv i dobët 0.0303
Answer 11	-	Pozitiv i dobët 0.0240	Pozitiv i dobët 0.0019	Pozitiv i dobët 0.0128	Negative dobët -0.0592	Negative dobët -0.0172	Negative dobët -0.0139	Pozitiv i dobët 0.0554
Answer 12	-	Negative dobët -0.0078	Pozitiv i dobët 0.0331	Pozitiv i dobët 0.0523	Pozitiv i dobët 0.0403	Negative dobët -0.0665	Pozitiv i dobët 0.0086	Negative dobët -0.0435
Answer 13	-	Negative dobët -0.0941	Negative dobët -0.0349	Negative dobët -0.0132	Pozitiv i dobët 0.0111	Pozitiv i dobët 0.0173	Pozitiv i dobët 0.0730	Pozitiv i dobët 0.0037
Answer 14	-	Pozitiv i dobët 0.0003	Pozitiv i dobët 0.0835	Negative dobët -0.0344	Negative dobët -0.0762	Negative dobët -0.0242	Negative dobët -0.0104	Pozitiv i dobët 0.0768

Eksport në MS Excel

Kjo funksionalitet do të jetë në dispozicion në sondazhet tuaja të VUCA

Ne rregull

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

2023.11.27

Valerii Kosenko

Pronari i produktit SaaS SDTEST®

Valerii u kualifikua si pedagog social-psikolog në vitin 1993 dhe që atëherë ka aplikuar njohuritë e tij në menaxhimin e projekteve.
Valerii mori një diplomë master dhe kualifikimin e menaxherit të projektit dhe programit në vitin 2013. Gjatë programit të tij Master, ai u njoh me Projektin Udhërrëfyes (GPM Deutsche Gesellschaft für Projektmanagement e. V.) dhe Spiral Dynamics.
Valerii është autori i eksplorimit të pasigurisë së V.U.C.A. Koncepti duke përdorur Dinamika Spirale dhe statistikat matematikore në psikologji, dhe 38 sondazhe ndërkombëtare.

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