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 = 0.0763
Pengagihan Normal, oleh William Sealy Gosset (Pelajar) r = 0.0763
Pengedaran tidak normal, oleh Spearman r = 0.0031
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
0.0709
Lemah negatif
-0.0028
Lemah positif
0.1106
Lemah negatif
-0.0994
Lemah negatif
-0.0085
Lemah negatif
-0.0583
Lemah positif
0.0110
Answer 2-
Lemah positif
0.0280
Lemah positif
0.0016
Lemah positif
0.0403
Lemah negatif
-0.0300
Lemah positif
0.0444
Lemah negatif
-0.0020
Lemah negatif
-0.0658
Answer 3-
Lemah negatif
-0.0147
Lemah negatif
-0.0480
Lemah negatif
-0.0065
Lemah positif
0.0458
Lemah negatif
-0.0093
Lemah negatif
-0.0046
Lemah positif
0.0184
Answer 4-
Lemah positif
0.0166
Lemah positif
0.0057
Lemah positif
0.0186
Lemah negatif
-0.0386
Lemah negatif
-0.0325
Lemah negatif
-0.0142
Lemah positif
0.0482
Answer 5-
Lemah positif
0.0043
Lemah negatif
-0.0109
Lemah negatif
-0.0187
Lemah positif
0.0505
Lemah negatif
-0.0008
Lemah positif
0.0361
Lemah negatif
-0.0520
Answer 6-
Lemah negatif
-0.0401
Lemah negatif
-0.0583
Lemah negatif
-0.0839
Lemah positif
0.0803
Lemah negatif
-0.0010
Lemah positif
0.0548
Lemah positif
0.0139
Answer 7-
Lemah negatif
-0.0560
Lemah positif
0.1141
Lemah negatif
-0.0539
Lemah negatif
-0.0116
Lemah negatif
-0.0001
Lemah negatif
-0.0108
Lemah positif
0.0246
2) Mengawal (berapa yang anda setuju atau tidak setuju?)
Answer 8-
Lemah positif
0.0279
Lemah positif
0.0172
Lemah positif
0.0623
Lemah positif
0.0562
Lemah negatif
-0.0184
Lemah negatif
-0.0748
Lemah negatif
-0.0562
Answer 9-
Lemah positif
0.0074
Lemah negatif
-0.0274
Lemah negatif
-0.0412
Lemah positif
0.0323
Lemah positif
0.0853
Lemah negatif
-0.0162
Lemah negatif
-0.0452
Answer 10-
Lemah positif
0.0176
Lemah negatif
-0.0320
Lemah negatif
-0.0396
Lemah negatif
-0.0023
Lemah negatif
-0.0136
Lemah positif
0.0492
Lemah positif
0.0170
Answer 11-
Lemah positif
0.0321
Lemah positif
0.0105
Lemah positif
0.0134
Lemah negatif
-0.0615
Lemah negatif
-0.0101
Lemah negatif
-0.0137
Lemah positif
0.0401
Answer 12-
Lemah negatif
-0.0132
Lemah positif
0.0326
Lemah positif
0.0613
Lemah positif
0.0349
Lemah negatif
-0.0699
Lemah positif
0.0061
Lemah negatif
-0.0382
Answer 13-
Lemah negatif
-0.1088
Lemah negatif
-0.0423
Lemah negatif
-0.0096
Lemah negatif
-0.0013
Lemah positif
0.0092
Lemah positif
0.0769
Lemah positif
0.0302
Answer 14-
Lemah positif
0.0043
Lemah positif
0.0611
Lemah negatif
-0.0311
Lemah negatif
-0.0806
Lemah negatif
-0.0219
Lemah positif
0.0017
Lemah positif
0.0791


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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