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Mastering Values, Leadership, and
Change» (ISBN-13: 978-1405133562)
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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.


Intelijen jieunan sareng tungtung peradaban

nagara
basa
-
Mail
Ngulalikeun
Nilai kritis koefisien korélasi
Sebaran normal, ku William laut anu gumpal (mahasiswa) r = 0.0763
Sebaran normal, ku William laut anu gumpal (mahasiswa) r = 0.0763
Sebaran non normal, ku Spearman r = 0.0031
SebaranNon
normal
NormalNon
normal
NormalNormalNormalNormalNormal
Kabeh patarosan
Kabeh patarosan
1) Kasalametan (sabaraha anjeun satuju atanapi henteu satuju?)
2) Kontrol (sabaraha anjeun satuju atanapi henteu satuju?)
1) Kasalametan (sabaraha anjeun satuju atanapi henteu satuju?)
Answer 1-
Positip lemah
0.0780
Négatip lemah
-0.0013
Positip lemah
0.1092
Négatip lemah
-0.0965
Négatip lemah
-0.0082
Négatip lemah
-0.0554
Positip lemah
0.0083
Answer 2-
Positip lemah
0.0290
Négatip lemah
-0.0016
Positip lemah
0.0401
Négatip lemah
-0.0312
Positip lemah
0.0451
Positip lemah
0.0015
Négatip lemah
-0.0620
Answer 3-
Négatip lemah
-0.0142
Négatip lemah
-0.0519
Négatip lemah
-0.0059
Positip lemah
0.0485
Négatip lemah
-0.0108
Négatip lemah
-0.0076
Positip lemah
0.0174
Answer 4-
Positip lemah
0.0204
Positip lemah
0.0084
Positip lemah
0.0182
Négatip lemah
-0.0414
Négatip lemah
-0.0314
Négatip lemah
-0.0132
Positip lemah
0.0495
Answer 5-
Négatip lemah
-0.0036
Négatip lemah
-0.0097
Négatip lemah
-0.0185
Positip lemah
0.0477
Négatip lemah
-0.0030
Positip lemah
0.0301
Négatip lemah
-0.0557
Answer 6-
Négatip lemah
-0.0414
Négatip lemah
-0.0556
Négatip lemah
-0.0823
Positip lemah
0.0795
Négatip lemah
-0.0012
Positip lemah
0.0520
Positip lemah
0.0146
Answer 7-
Négatip lemah
-0.0600
Positip lemah
0.1144
Négatip lemah
-0.0542
Négatip lemah
-0.0096
Positip lemah
0.0012
Négatip lemah
-0.0080
Positip lemah
0.0241
2) Kontrol (sabaraha anjeun satuju atanapi henteu satuju?)
Answer 8-
Positip lemah
0.0283
Positip lemah
0.0174
Positip lemah
0.0583
Positip lemah
0.0581
Négatip lemah
-0.0182
Négatip lemah
-0.0745
Négatip lemah
-0.0550
Answer 9-
Positip lemah
0.0097
Négatip lemah
-0.0287
Négatip lemah
-0.0387
Positip lemah
0.0305
Positip lemah
0.0863
Négatip lemah
-0.0161
Négatip lemah
-0.0470
Answer 10-
Positip lemah
0.0190
Négatip lemah
-0.0334
Négatip lemah
-0.0417
Négatip lemah
-0.0013
Négatip lemah
-0.0142
Positip lemah
0.0502
Positip lemah
0.0176
Answer 11-
Positip lemah
0.0358
Positip lemah
0.0118
Positip lemah
0.0160
Négatip lemah
-0.0628
Négatip lemah
-0.0127
Négatip lemah
-0.0174
Positip lemah
0.0434
Answer 12-
Négatip lemah
-0.0211
Positip lemah
0.0354
Positip lemah
0.0631
Positip lemah
0.0352
Négatip lemah
-0.0736
Positip lemah
0.0029
Négatip lemah
-0.0414
Answer 13-
Négatip lemah
-0.1112
Négatip lemah
-0.0452
Négatip lemah
-0.0103
Positip lemah
0.0029
Positip lemah
0.0144
Positip lemah
0.0795
Positip lemah
0.0259
Answer 14-
Positip lemah
0.0038
Positip lemah
0.0641
Négatip lemah
-0.0297
Négatip lemah
-0.0850
Négatip lemah
-0.0222
Positip lemah
0.0037
Positip lemah
0.0820


Ékspor ka MS Excel
Fungsional ieu bakal sayogi dina polling VUCA anjeun nyalira
OKÉ



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


2023.11.27
Valerii Kosenko
Pitunjuk produk saas petas piaraan SDTest®

Valeri dibébas salaku psagog sosial-psagolog di 1993 sareng parantos ngalarapkeun kanyaho-daya dina manajemén Prakték.
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Valeri nyaéta panulis ngajalajah kateupastian tina V.u.A.A. Konsep nganggo dinamika spiral sareng statistik matematika dina psikologi, langkung ti 20 pemancip internasional.
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