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 = 0.0722
Pengagihan Normal, oleh William Sealy Gosset (Pelajar) r = 0.0722
Pengedaran tidak normal, oleh Spearman r = 0.0029
PengedaranTidak
normal
BiasaTidak
normal
BiasaBiasaBiasaBiasaBiasa
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
0.0641
Lemah positif
0.0190
Lemah positif
0.0961
Lemah negatif
-0.1206
Lemah negatif
-0.0002
Lemah negatif
-0.0497
Lemah positif
0.0188
Answer 2-
Lemah positif
0.0147
Lemah negatif
-0.0046
Lemah positif
0.0452
Lemah negatif
-0.0263
Lemah positif
0.0354
Lemah negatif
-0.0035
Lemah negatif
-0.0509
Answer 3-
Lemah negatif
-0.0223
Lemah negatif
-0.0211
Lemah positif
0.0125
Lemah positif
0.0593
Lemah negatif
-0.0281
Lemah negatif
-0.0140
Lemah positif
0.0007
Answer 4-
Lemah positif
0.0290
Lemah negatif
-0.0078
Lemah positif
0.0110
Lemah negatif
-0.0475
Lemah negatif
-0.0317
Lemah positif
0.0008
Lemah positif
0.0496
Answer 5-
Lemah negatif
-0.0074
Lemah negatif
-0.0243
Lemah negatif
-0.0233
Lemah positif
0.0471
Lemah positif
0.0337
Lemah positif
0.0285
Lemah negatif
-0.0531
Answer 6-
Lemah negatif
-0.0124
Lemah negatif
-0.0533
Lemah negatif
-0.0759
Lemah positif
0.0648
Lemah negatif
-0.0083
Lemah positif
0.0468
Lemah positif
0.0147
Answer 7-
Lemah negatif
-0.0573
Lemah positif
0.0937
Lemah negatif
-0.0652
Lemah positif
0.0121
Lemah positif
0.0042
Lemah negatif
-0.0085
Lemah positif
0.0200
2) Mengawal (berapa yang anda setuju atau tidak setuju?)
Answer 8-
Lemah positif
0.0128
Lemah positif
0.0040
Lemah positif
0.0812
Lemah positif
0.0532
Lemah negatif
-0.0256
Lemah negatif
-0.0777
Lemah negatif
-0.0445
Answer 9-
Lemah positif
0.0239
Lemah negatif
-0.0228
Lemah negatif
-0.0407
Lemah positif
0.0268
Lemah positif
0.0827
Lemah negatif
-0.0096
Lemah negatif
-0.0558
Answer 10-
Lemah positif
0.0178
Lemah negatif
-0.0397
Lemah negatif
-0.0592
Lemah negatif
-0.0132
Lemah positif
0.0004
Lemah positif
0.0552
Lemah positif
0.0316
Answer 11-
Lemah positif
0.0143
Lemah positif
0.0004
Lemah positif
0.0298
Lemah negatif
-0.0590
Lemah negatif
-0.0293
Lemah negatif
-0.0092
Lemah positif
0.0553
Answer 12-
Lemah negatif
-0.0070
Lemah positif
0.0346
Lemah positif
0.0513
Lemah positif
0.0408
Lemah negatif
-0.0657
Lemah positif
0.0076
Lemah negatif
-0.0445
Answer 13-
Lemah negatif
-0.0957
Lemah negatif
-0.0361
Lemah negatif
-0.0173
Lemah positif
0.0048
Lemah positif
0.0263
Lemah positif
0.0734
Lemah positif
0.0069
Answer 14-
Lemah positif
0.0032
Lemah positif
0.0870
Lemah negatif
-0.0344
Lemah negatif
-0.0667
Lemah negatif
-0.0262
Lemah negatif
-0.0135
Lemah positif
0.0684


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 SDTEST®

Valerii telah layak sebagai pedagogue-psikologi sosial 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 Sarjananya, beliau mengenali Pelan Hala Tuju Projek (GPM Deutsche Gesellschaft für Projektmanagement e. V.) dan Spiral Dynamics.
Valerii ialah pengarang meneroka ketidakpastian V.U.C.A. konsep menggunakan Spiral Dynamics dan statistik matematik dalam psikologi, dan 38 tinjauan antarabangsa.
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