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 = 0.0727
Pengagihan Normal, oleh William Sealy Gosset (Pelajar) r = 0.0727
Pengedaran tidak normal, oleh Spearman r = 0.003
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
0.0666
Lemah positif
0.0209
Lemah positif
0.0941
Lemah negatif
-0.1169
Lemah negatif
-0.0089
Lemah negatif
-0.0469
Lemah positif
0.0197
Answer 2-
Lemah positif
0.0169
Lemah negatif
-0.0027
Lemah positif
0.0434
Lemah negatif
-0.0239
Lemah positif
0.0400
Lemah negatif
-0.0073
Lemah negatif
-0.0555
Answer 3-
Lemah negatif
-0.0228
Lemah negatif
-0.0256
Lemah positif
0.0045
Lemah positif
0.0553
Lemah negatif
-0.0232
Lemah negatif
-0.0105
Lemah positif
0.0074
Answer 4-
Lemah positif
0.0329
Lemah negatif
-0.0047
Lemah positif
0.0149
Lemah negatif
-0.0412
Lemah negatif
-0.0342
Lemah negatif
-0.0074
Lemah positif
0.0449
Answer 5-
Lemah negatif
-0.0094
Lemah negatif
-0.0261
Lemah negatif
-0.0230
Lemah positif
0.0463
Lemah positif
0.0346
Lemah positif
0.0300
Lemah negatif
-0.0519
Answer 6-
Lemah negatif
-0.0118
Lemah negatif
-0.0530
Lemah negatif
-0.0733
Lemah positif
0.0702
Lemah negatif
-0.0155
Lemah positif
0.0470
Lemah positif
0.0129
Answer 7-
Lemah negatif
-0.0643
Lemah positif
0.0935
Lemah negatif
-0.0592
Lemah negatif
-0.0012
Lemah positif
0.0092
Lemah negatif
-0.0034
Lemah positif
0.0233
2) Mengawal (berapa yang anda setuju atau tidak setuju?)
Answer 8-
Lemah positif
0.0149
Lemah positif
0.0058
Lemah positif
0.0830
Lemah positif
0.0595
Lemah negatif
-0.0326
Lemah negatif
-0.0791
Lemah negatif
-0.0463
Answer 9-
Lemah positif
0.0229
Lemah negatif
-0.0238
Lemah negatif
-0.0378
Lemah positif
0.0297
Lemah positif
0.0811
Lemah negatif
-0.0113
Lemah negatif
-0.0566
Answer 10-
Lemah positif
0.0132
Lemah negatif
-0.0401
Lemah negatif
-0.0533
Lemah negatif
-0.0207
Lemah positif
0.0031
Lemah positif
0.0593
Lemah positif
0.0308
Answer 11-
Lemah positif
0.0224
Lemah positif
0.0023
Lemah positif
0.0128
Lemah negatif
-0.0592
Lemah negatif
-0.0166
Lemah negatif
-0.0136
Lemah positif
0.0552
Answer 12-
Lemah negatif
-0.0087
Lemah positif
0.0333
Lemah positif
0.0523
Lemah positif
0.0403
Lemah negatif
-0.0660
Lemah positif
0.0087
Lemah negatif
-0.0436
Answer 13-
Lemah negatif
-0.0947
Lemah negatif
-0.0346
Lemah negatif
-0.0132
Lemah positif
0.0111
Lemah positif
0.0178
Lemah positif
0.0731
Lemah positif
0.0036
Answer 14-
Lemah negatif
-0.0009
Lemah positif
0.0838
Lemah negatif
-0.0344
Lemah negatif
-0.0762
Lemah negatif
-0.0236
Lemah negatif
-0.0102
Lemah positif
0.0767


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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