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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.


Deallusrwydd artiffisial a diwedd gwareiddiad

Gwlad
Iaith
-
Mail
Ailgyfrifo
Gwerth feirniadol o'r cyfernod cydberthyniad
Dosbarthiad Arferol, gan William Sealy Gosset (Myfyriwr) r = 0.0723
Dosbarthiad Arferol, gan William Sealy Gosset (Myfyriwr) r = 0.0723
Dosbarthiad nad yw'n arferol, gan Spearman r = 0.0029
NosbarthiadauNad
yw'n normal
NormalNad
yw'n normal
NormalNormalNormalNormalNormal
Pob cwestiwn
Pob cwestiwn
1) Diogelwch (faint ydych chi'n cytuno neu'n anghytuno?)
2) Rheoli (faint ydych chi'n cytuno neu'n anghytuno?)
1) Diogelwch (faint ydych chi'n cytuno neu'n anghytuno?)
Answer 1-
Gadarnhaol gwan
0.0643
Gadarnhaol gwan
0.0187
Gadarnhaol gwan
0.0956
Negyddol gwan
-0.1202
Negyddol gwan
-0.0005
Negyddol gwan
-0.0499
Gadarnhaol gwan
0.0193
Answer 2-
Gadarnhaol gwan
0.0151
Negyddol gwan
-0.0051
Gadarnhaol gwan
0.0441
Negyddol gwan
-0.0253
Gadarnhaol gwan
0.0350
Negyddol gwan
-0.0038
Negyddol gwan
-0.0503
Answer 3-
Negyddol gwan
-0.0220
Negyddol gwan
-0.0216
Gadarnhaol gwan
0.0115
Gadarnhaol gwan
0.0603
Negyddol gwan
-0.0284
Negyddol gwan
-0.0143
Gadarnhaol gwan
0.0013
Answer 4-
Gadarnhaol gwan
0.0293
Negyddol gwan
-0.0083
Gadarnhaol gwan
0.0101
Negyddol gwan
-0.0467
Negyddol gwan
-0.0320
Gadarnhaol gwan
0.0006
Gadarnhaol gwan
0.0502
Answer 5-
Negyddol gwan
-0.0072
Negyddol gwan
-0.0246
Negyddol gwan
-0.0240
Gadarnhaol gwan
0.0477
Gadarnhaol gwan
0.0335
Gadarnhaol gwan
0.0284
Negyddol gwan
-0.0527
Answer 6-
Negyddol gwan
-0.0121
Negyddol gwan
-0.0537
Negyddol gwan
-0.0769
Gadarnhaol gwan
0.0657
Negyddol gwan
-0.0086
Gadarnhaol gwan
0.0466
Gadarnhaol gwan
0.0152
Answer 7-
Negyddol gwan
-0.0591
Gadarnhaol gwan
0.0965
Negyddol gwan
-0.0600
Gadarnhaol gwan
0.0071
Gadarnhaol gwan
0.0060
Negyddol gwan
-0.0071
Gadarnhaol gwan
0.0168
2) Rheoli (faint ydych chi'n cytuno neu'n anghytuno?)
Answer 8-
Gadarnhaol gwan
0.0132
Gadarnhaol gwan
0.0035
Gadarnhaol gwan
0.0801
Gadarnhaol gwan
0.0543
Negyddol gwan
-0.0260
Negyddol gwan
-0.0781
Negyddol gwan
-0.0439
Answer 9-
Gadarnhaol gwan
0.0242
Negyddol gwan
-0.0234
Negyddol gwan
-0.0420
Gadarnhaol gwan
0.0280
Gadarnhaol gwan
0.0824
Negyddol gwan
-0.0099
Negyddol gwan
-0.0551
Answer 10-
Gadarnhaol gwan
0.0165
Negyddol gwan
-0.0378
Negyddol gwan
-0.0547
Negyddol gwan
-0.0176
Gadarnhaol gwan
0.0019
Gadarnhaol gwan
0.0566
Gadarnhaol gwan
0.0289
Answer 11-
Gadarnhaol gwan
0.0146
Gadarnhaol gwan
3.46E-5
Gadarnhaol gwan
0.0290
Negyddol gwan
-0.0583
Negyddol gwan
-0.0296
Negyddol gwan
-0.0094
Gadarnhaol gwan
0.0558
Answer 12-
Negyddol gwan
-0.0069
Gadarnhaol gwan
0.0343
Gadarnhaol gwan
0.0508
Gadarnhaol gwan
0.0414
Negyddol gwan
-0.0658
Gadarnhaol gwan
0.0075
Negyddol gwan
-0.0442
Answer 13-
Negyddol gwan
-0.0955
Negyddol gwan
-0.0364
Negyddol gwan
-0.0180
Gadarnhaol gwan
0.0054
Gadarnhaol gwan
0.0261
Gadarnhaol gwan
0.0732
Gadarnhaol gwan
0.0073
Answer 14-
Gadarnhaol gwan
0.0035
Gadarnhaol gwan
0.0867
Negyddol gwan
-0.0352
Negyddol gwan
-0.0661
Negyddol gwan
-0.0264
Negyddol gwan
-0.0137
Gadarnhaol gwan
0.0689


Allforio i MS Excel
Bydd y swyddogaeth hon ar gael yn eich polau VUCA eich hun
Iawn



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


2023.11.27
Valerii Kosenko
Perchennog Cynnyrch SaaS SDTEST®

Cymhwyswyd Valerii fel pedagog-seicolegydd cymdeithasol yn 1993 ac ers hynny mae wedi cymhwyso ei wybodaeth mewn rheoli prosiectau.
Enillodd Valerii radd Meistr a chymhwyster rheolwr prosiect a rhaglen yn 2013. Yn ystod ei raglen Meistr, daeth yn gyfarwydd â Project Roadmap (GPM Deutsche Gesellschaft für Projektmanagement e. V.) a Spiral Dynamics.
Mae Valerii yn awdur ar archwilio ansicrwydd y V.U.C.A. cysyniad defnyddio Spiral Dynamics ac ystadegau mathemategol mewn seicoleg, a 38 polau rhyngwladol.
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