ujian berasaskan 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.


Kecerdasan buatan dan akhir tamadun

negara
bahasa
-
Mail
Mengira semula
Nilai kritikal pekali korelasi
Pengagihan Normal, oleh William Sealy Gosset (Pelajar) r = 0.084
Pengagihan Normal, oleh William Sealy Gosset (Pelajar) r = 0.084
Pengedaran tidak normal, oleh Spearman r = 0.0036
PengedaranTidak
normal
BiasaBiasaBiasaBiasaBiasaBiasaBiasa
Semua soalan
Semua soalan
1) Keselamatan (berapa yang anda setuju atau tidak setuju?)
2) Mengawal (berapa yang anda setuju atau tidak setuju?)
1) Keselamatan (berapa yang anda setuju atau tidak setuju?)
Answer 1-
Lemah positif
0.0782
Lemah negatif
-0.0194
Lemah positif
0.1068
Lemah negatif
-0.1237
Lemah positif
0.0211
Lemah negatif
-0.0558
Lemah positif
0.0212
Answer 2-
Lemah positif
0.0296
Lemah positif
0.0231
Lemah positif
0.0400
Lemah negatif
-0.0012
Lemah positif
0.0132
Lemah negatif
-0.0053
Lemah negatif
-0.0711
Answer 3-
Lemah negatif
-0.0075
Lemah negatif
-0.0330
Lemah negatif
-0.0036
Lemah positif
0.0550
Lemah negatif
-0.0054
Lemah negatif
-0.0144
Lemah negatif
-0.0108
Answer 4-
Lemah positif
0.0045
Lemah positif
0.0259
Lemah positif
0.0324
Lemah negatif
-0.0203
Lemah negatif
-0.0601
Lemah negatif
-0.0206
Lemah positif
0.0472
Answer 5-
Lemah positif
0.0071
Lemah negatif
-0.0184
Lemah negatif
-0.0280
Lemah positif
0.0166
Lemah positif
0.0164
Lemah positif
0.0252
Lemah negatif
-0.0339
Answer 6-
Lemah negatif
-0.0457
Lemah negatif
-0.0552
Lemah negatif
-0.1004
Lemah positif
0.0896
Lemah positif
0.0092
Lemah positif
0.0466
Lemah positif
0.0190
Answer 7-
Lemah negatif
-0.0566
Lemah positif
0.0719
Lemah negatif
-0.0421
Lemah negatif
-0.0405
Lemah positif
0.0116
Lemah positif
0.0233
Lemah positif
0.0372
2) Mengawal (berapa yang anda setuju atau tidak setuju?)
Answer 8-
Lemah positif
0.0261
Lemah positif
0.0447
Lemah positif
0.0766
Lemah positif
0.0706
Lemah negatif
-0.0209
Lemah negatif
-0.1053
Lemah negatif
-0.0740
Answer 9-
Lemah positif
0.0256
Lemah negatif
-0.0460
Lemah negatif
-0.0393
Lemah negatif
-0.0056
Lemah positif
0.0960
Lemah negatif
-0.0292
Lemah negatif
-0.0080
Answer 10-
Lemah positif
0.0471
Lemah negatif
-0.0248
Lemah negatif
-0.0245
Lemah negatif
-0.0183
Lemah negatif
-0.0291
Lemah positif
0.0256
Lemah positif
0.0316
Answer 11-
Lemah positif
0.0191
Lemah positif
0.0042
Lemah positif
0.0053
Lemah negatif
-0.0398
Lemah positif
0.0012
Lemah negatif
-0.0115
Lemah positif
0.0295
Answer 12-
Lemah negatif
-0.0507
Lemah positif
0.0353
Lemah positif
0.0299
Lemah positif
0.0534
Lemah negatif
-0.0671
Lemah positif
0.0424
Lemah negatif
-0.0536
Answer 13-
Lemah negatif
-0.1113
Lemah negatif
-0.0431
Lemah positif
0.0030
Lemah positif
0.0204
Lemah negatif
-0.0120
Lemah positif
0.0925
Lemah positif
0.0106
Answer 14-
Lemah negatif
-0.0076
Lemah positif
0.0455
Lemah negatif
-0.0575
Lemah negatif
-0.0913
Lemah negatif
-0.0036
Lemah positif
0.0486
Lemah positif
0.0789


Eksport ke MS Excel
Fungsi ini akan tersedia dalam pemilihan VUCA anda sendiri
Okey



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


2023.11.27
Valerii Kosenko
Pemilik Produk SaaS Pet Project SDTest®

Valerii layak sebagai ahli pedagogi sosial-psikologi pada tahun 1993 dan sejak itu telah menggunakan pengetahuannya dalam pengurusan projek.
Valerii memperoleh ijazah sarjana dan kelayakan pengurus projek dan program pada tahun 2013. Semasa program tuannya, beliau menjadi akrab dengan Roadmap Project (GPM Deutsche Gesellschaft für Projektmanagement e. V.) dan Spiral Dynamics.
Valerii mengambil pelbagai ujian dinamik lingkaran dan menggunakan pengetahuan dan pengalamannya untuk menyesuaikan versi semasa SDTest.
Valerii adalah pengarang meneroka ketidakpastian V.U.C.A. Konsep menggunakan dinamik lingkaran dan statistik matematik dalam psikologi, lebih daripada 20 pemilihan antarabangsa.
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