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 = 0.0761
Distribusi normal, dening William Sefery Gosset (siswa) r = 0.0761
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
0.0782
Negatif lemah
-0.0012
Positif ringkih
0.1090
Negatif lemah
-0.0969
Negatif lemah
-0.0073
Negatif lemah
-0.0554
Positif ringkih
0.0077
Answer 2-
Positif ringkih
0.0263
Negatif lemah
-0.0038
Positif ringkih
0.0368
Negatif lemah
-0.0289
Positif ringkih
0.0475
Positif ringkih
0.0002
Negatif lemah
-0.0593
Answer 3-
Negatif lemah
-0.0138
Negatif lemah
-0.0516
Negatif lemah
-0.0059
Positif ringkih
0.0478
Negatif lemah
-0.0095
Negatif lemah
-0.0076
Positif ringkih
0.0165
Answer 4-
Positif ringkih
0.0207
Positif ringkih
0.0086
Positif ringkih
0.0181
Negatif lemah
-0.0419
Negatif lemah
-0.0303
Negatif lemah
-0.0132
Positif ringkih
0.0487
Answer 5-
Negatif lemah
-0.0033
Negatif lemah
-0.0096
Negatif lemah
-0.0186
Positif ringkih
0.0473
Negatif lemah
-0.0023
Positif ringkih
0.0301
Negatif lemah
-0.0562
Answer 6-
Negatif lemah
-0.0395
Negatif lemah
-0.0536
Negatif lemah
-0.0778
Positif ringkih
0.0789
Negatif lemah
-0.0092
Positif ringkih
0.0535
Positif ringkih
0.0149
Answer 7-
Negatif lemah
-0.0597
Positif ringkih
0.1145
Negatif lemah
-0.0542
Negatif lemah
-0.0101
Positif ringkih
0.0023
Negatif lemah
-0.0081
Positif ringkih
0.0233
2) Kontrol (sepira sampeyan setuju utawa ora setuju?)
Answer 8-
Positif ringkih
0.0297
Positif ringkih
0.0189
Positif ringkih
0.0614
Positif ringkih
0.0575
Negatif lemah
-0.0242
Negatif lemah
-0.0728
Negatif lemah
-0.0549
Answer 9-
Positif ringkih
0.0101
Negatif lemah
-0.0284
Negatif lemah
-0.0388
Positif ringkih
0.0298
Positif ringkih
0.0874
Negatif lemah
-0.0161
Negatif lemah
-0.0479
Answer 10-
Positif ringkih
0.0193
Negatif lemah
-0.0331
Negatif lemah
-0.0417
Negatif lemah
-0.0019
Negatif lemah
-0.0129
Positif ringkih
0.0501
Positif ringkih
0.0167
Answer 11-
Positif ringkih
0.0323
Positif ringkih
0.0088
Positif ringkih
0.0120
Negatif lemah
-0.0595
Negatif lemah
-0.0100
Negatif lemah
-0.0190
Positif ringkih
0.0467
Answer 12-
Negatif lemah
-0.0209
Positif ringkih
0.0355
Positif ringkih
0.0630
Positif ringkih
0.0349
Negatif lemah
-0.0727
Positif ringkih
0.0028
Negatif lemah
-0.0418
Answer 13-
Negatif lemah
-0.1109
Negatif lemah
-0.0450
Negatif lemah
-0.0103
Positif ringkih
0.0025
Positif ringkih
0.0152
Positif ringkih
0.0794
Positif ringkih
0.0253
Answer 14-
Positif ringkih
0.0040
Positif ringkih
0.0642
Negatif lemah
-0.0297
Negatif lemah
-0.0853
Negatif lemah
-0.0213
Positif ringkih
0.0037
Positif ringkih
0.0813


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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