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 = 0.072
Pengagihan Normal, oleh William Sealy Gosset (Pelajar) r = 0.072
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
0.0651
Lemah positif
0.0178
Lemah positif
0.0964
Lemah negatif
-0.1201
Lemah negatif
-0.0001
Lemah negatif
-0.0507
Lemah positif
0.0185
Answer 2-
Lemah positif
0.0167
Lemah negatif
-0.0061
Lemah positif
0.0461
Lemah negatif
-0.0257
Lemah positif
0.0354
Lemah negatif
-0.0052
Lemah negatif
-0.0508
Answer 3-
Lemah negatif
-0.0287
Lemah negatif
-0.0254
Lemah positif
0.0108
Lemah positif
0.0564
Lemah negatif
-0.0247
Lemah negatif
-0.0101
Lemah positif
0.0052
Answer 4-
Lemah positif
0.0273
Lemah negatif
-0.0117
Lemah positif
0.0118
Lemah negatif
-0.0498
Lemah negatif
-0.0334
Lemah positif
0.0044
Lemah positif
0.0525
Answer 5-
Lemah negatif
-0.0063
Lemah negatif
-0.0249
Lemah negatif
-0.0226
Lemah positif
0.0473
Lemah positif
0.0337
Lemah positif
0.0275
Lemah negatif
-0.0528
Answer 6-
Lemah negatif
-0.0108
Lemah negatif
-0.0538
Lemah negatif
-0.0748
Lemah positif
0.0651
Lemah negatif
-0.0082
Lemah positif
0.0454
Lemah positif
0.0144
Answer 7-
Lemah negatif
-0.0536
Lemah positif
0.1061
Lemah negatif
-0.0668
Lemah positif
0.0156
Lemah positif
0.0023
Lemah negatif
-0.0114
Lemah positif
0.0119
2) Mengawal (berapa yang anda setuju atau tidak setuju?)
Answer 8-
Lemah positif
0.0148
Lemah positif
0.0023
Lemah positif
0.0819
Lemah positif
0.0536
Lemah negatif
-0.0254
Lemah negatif
-0.0793
Lemah negatif
-0.0444
Answer 9-
Lemah positif
0.0181
Lemah negatif
-0.0309
Lemah negatif
-0.0363
Lemah positif
0.0222
Lemah positif
0.0848
Lemah negatif
-0.0039
Lemah negatif
-0.0530
Answer 10-
Lemah positif
0.0182
Lemah negatif
-0.0251
Lemah negatif
-0.0661
Lemah negatif
-0.0098
Lemah negatif
-0.0031
Lemah positif
0.0535
Lemah positif
0.0297
Answer 11-
Lemah positif
0.0157
Lemah negatif
-0.0007
Lemah positif
0.0304
Lemah negatif
-0.0585
Lemah negatif
-0.0291
Lemah negatif
-0.0104
Lemah positif
0.0547
Answer 12-
Lemah negatif
-0.0061
Lemah positif
0.0334
Lemah positif
0.0516
Lemah positif
0.0410
Lemah negatif
-0.0654
Lemah positif
0.0068
Lemah negatif
-0.0443
Answer 13-
Lemah negatif
-0.0943
Lemah negatif
-0.0366
Lemah negatif
-0.0166
Lemah positif
0.0051
Lemah positif
0.0263
Lemah positif
0.0722
Lemah positif
0.0067
Answer 14-
Lemah positif
0.0045
Lemah positif
0.0850
Lemah negatif
-0.0336
Lemah negatif
-0.0662
Lemah negatif
-0.0260
Lemah negatif
-0.0145
Lemah positif
0.0677


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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