test adhedhasar buku «Spiral Dynamics:
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 buatan lan pungkasan peradaban

Negara
Language
-
Mail
Ngeculke
Nilai kritis koefisien gathukane
Distribusi normal, dening William Sefery Gosset (siswa) r = 0.0767
Distribusi normal, dening William Sefery Gosset (siswa) r = 0.0767
Distribusi Non Non, dening Spearman r = 0.0031
DistribusiOra
normal
NormalOra
normal
NormalNormalNormalNormalNormal
Kabeh pitakon
Kabeh pitakon
1) Safety (sepira sampeyan setuju utawa ora setuju?)
2) Kontrol (sepira sampeyan setuju utawa ora setuju?)
1) Safety (sepira sampeyan setuju utawa ora setuju?)
Answer 1-
Positif ringkih
0.0761
Negatif lemah
-0.0022
Positif ringkih
0.1091
Negatif lemah
-0.0965
Negatif lemah
-0.0068
Negatif lemah
-0.0557
Positif ringkih
0.0091
Answer 2-
Positif ringkih
0.0274
Negatif lemah
-0.0017
Positif ringkih
0.0390
Negatif lemah
-0.0277
Positif ringkih
0.0489
Positif ringkih
0.0011
Negatif lemah
-0.0658
Answer 3-
Negatif lemah
-0.0083
Negatif lemah
-0.0539
Negatif lemah
-0.0041
Positif ringkih
0.0463
Negatif lemah
-0.0159
Negatif lemah
-0.0062
Positif ringkih
0.0192
Answer 4-
Positif ringkih
0.0212
Positif ringkih
0.0103
Positif ringkih
0.0211
Negatif lemah
-0.0415
Negatif lemah
-0.0345
Negatif lemah
-0.0119
Positif ringkih
0.0469
Answer 5-
Negatif lemah
-0.0055
Negatif lemah
-0.0105
Negatif lemah
-0.0193
Positif ringkih
0.0482
Negatif lemah
-0.0017
Positif ringkih
0.0301
Negatif lemah
-0.0553
Answer 6-
Negatif lemah
-0.0443
Negatif lemah
-0.0568
Negatif lemah
-0.0837
Positif ringkih
0.0804
Positif ringkih
0.0005
Positif ringkih
0.0519
Positif ringkih
0.0156
Answer 7-
Negatif lemah
-0.0598
Positif ringkih
0.1171
Negatif lemah
-0.0559
Negatif lemah
-0.0125
Positif ringkih
0.0015
Negatif lemah
-0.0102
Positif ringkih
0.0275
2) Kontrol (sepira sampeyan setuju utawa ora setuju?)
Answer 8-
Positif ringkih
0.0248
Positif ringkih
0.0161
Positif ringkih
0.0576
Positif ringkih
0.0591
Negatif lemah
-0.0158
Negatif lemah
-0.0751
Negatif lemah
-0.0541
Answer 9-
Positif ringkih
0.0118
Negatif lemah
-0.0292
Negatif lemah
-0.0407
Positif ringkih
0.0311
Positif ringkih
0.0871
Negatif lemah
-0.0196
Negatif lemah
-0.0449
Answer 10-
Positif ringkih
0.0223
Negatif lemah
-0.0336
Negatif lemah
-0.0367
Negatif lemah
-0.0039
Negatif lemah
-0.0208
Positif ringkih
0.0571
Positif ringkih
0.0141
Answer 11-
Positif ringkih
0.0359
Positif ringkih
0.0126
Positif ringkih
0.0149
Negatif lemah
-0.0595
Negatif lemah
-0.0100
Negatif lemah
-0.0181
Positif ringkih
0.0394
Answer 12-
Negatif lemah
-0.0228
Positif ringkih
0.0348
Positif ringkih
0.0629
Positif ringkih
0.0356
Negatif lemah
-0.0728
Positif ringkih
0.0028
Negatif lemah
-0.0410
Answer 13-
Negatif lemah
-0.1103
Negatif lemah
-0.0427
Negatif lemah
-0.0114
Negatif lemah
-0.0006
Positif ringkih
0.0141
Positif ringkih
0.0778
Positif ringkih
0.0297
Answer 14-
Positif ringkih
0.0016
Positif ringkih
0.0634
Negatif lemah
-0.0306
Negatif lemah
-0.0849
Negatif lemah
-0.0208
Positif ringkih
0.0036
Positif ringkih
0.0830


Kaca kanggo MS Excel
Fungsi iki bakal kasedhiya ing polling VUCA dhewe
Ok



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


2023.11.27
Valerii Kosenko
Pemilik Produk Saas Pet Project SDTES®

Valerii layak minangka psikologi pedagoga sosial ing taun 1993 lan wiwit ngetrapake pengetahuan ing Manajemen Proyek.
Valerii entuk gelar master lan kualifikasi proyek lan manajer program ing taun 2013. Sajrone program Master dheweke, dheweke wis kenal karo Proyek Roadmap (GPM DeutscheFTFFT Für Projektmanagement E. V.) lan Dinamika Spiral.
Valerii njupuk macem-macem tes Dinamika spiral lan nggunakake kawruh lan pengalaman kanggo adaptasi versi SDTTTTTt.
Valerii minangka penulis kanggo njelajah kahanan sing durung mesthi ing V.U.C.A. Konsep nggunakake Dinamika Spiral lan statistik matematika ing Psikologi, luwih saka 20 jajak pendapat internasional.
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