prawf seiliedig ar lyfrau «Spiral
Dynamics: Mastering Values, Leadership,
and Change» (ISBN-13: 978-1405133562)
Noddwyr

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 = 0.0763
Dosbarthiad Arferol, gan William Sealy Gosset (Myfyriwr) r = 0.0763
Dosbarthiad nad yw'n arferol, gan Spearman r = 0.0031
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
0.0713
Negyddol gwan
-0.0025
Gadarnhaol gwan
0.1106
Negyddol gwan
-0.0997
Negyddol gwan
-0.0087
Negyddol gwan
-0.0586
Gadarnhaol gwan
0.0113
Answer 2-
Gadarnhaol gwan
0.0287
Gadarnhaol gwan
0.0022
Gadarnhaol gwan
0.0402
Negyddol gwan
-0.0306
Gadarnhaol gwan
0.0441
Negyddol gwan
-0.0024
Negyddol gwan
-0.0654
Answer 3-
Negyddol gwan
-0.0141
Negyddol gwan
-0.0475
Negyddol gwan
-0.0065
Gadarnhaol gwan
0.0452
Negyddol gwan
-0.0095
Negyddol gwan
-0.0050
Gadarnhaol gwan
0.0188
Answer 4-
Gadarnhaol gwan
0.0171
Gadarnhaol gwan
0.0062
Gadarnhaol gwan
0.0186
Negyddol gwan
-0.0391
Negyddol gwan
-0.0327
Negyddol gwan
-0.0145
Gadarnhaol gwan
0.0485
Answer 5-
Gadarnhaol gwan
0.0046
Negyddol gwan
-0.0106
Negyddol gwan
-0.0187
Gadarnhaol gwan
0.0501
Negyddol gwan
-0.0010
Gadarnhaol gwan
0.0358
Negyddol gwan
-0.0517
Answer 6-
Negyddol gwan
-0.0396
Negyddol gwan
-0.0579
Negyddol gwan
-0.0839
Gadarnhaol gwan
0.0797
Negyddol gwan
-0.0012
Gadarnhaol gwan
0.0544
Gadarnhaol gwan
0.0142
Answer 7-
Negyddol gwan
-0.0588
Gadarnhaol gwan
0.1109
Negyddol gwan
-0.0537
Negyddol gwan
-0.0085
Gadarnhaol gwan
0.0010
Negyddol gwan
-0.0088
Gadarnhaol gwan
0.0224
2) Rheoli (faint ydych chi'n cytuno neu'n anghytuno?)
Answer 8-
Gadarnhaol gwan
0.0286
Gadarnhaol gwan
0.0178
Gadarnhaol gwan
0.0623
Gadarnhaol gwan
0.0555
Negyddol gwan
-0.0186
Negyddol gwan
-0.0752
Negyddol gwan
-0.0557
Answer 9-
Gadarnhaol gwan
0.0081
Negyddol gwan
-0.0268
Negyddol gwan
-0.0412
Gadarnhaol gwan
0.0315
Gadarnhaol gwan
0.0850
Negyddol gwan
-0.0166
Negyddol gwan
-0.0447
Answer 10-
Gadarnhaol gwan
0.0182
Negyddol gwan
-0.0315
Negyddol gwan
-0.0396
Negyddol gwan
-0.0029
Negyddol gwan
-0.0138
Gadarnhaol gwan
0.0488
Gadarnhaol gwan
0.0174
Answer 11-
Gadarnhaol gwan
0.0325
Gadarnhaol gwan
0.0109
Gadarnhaol gwan
0.0134
Negyddol gwan
-0.0619
Negyddol gwan
-0.0103
Negyddol gwan
-0.0140
Gadarnhaol gwan
0.0404
Answer 12-
Negyddol gwan
-0.0129
Gadarnhaol gwan
0.0328
Gadarnhaol gwan
0.0613
Gadarnhaol gwan
0.0346
Negyddol gwan
-0.0700
Gadarnhaol gwan
0.0059
Negyddol gwan
-0.0380
Answer 13-
Negyddol gwan
-0.1120
Negyddol gwan
-0.0454
Negyddol gwan
-0.0095
Gadarnhaol gwan
0.0026
Gadarnhaol gwan
0.0106
Gadarnhaol gwan
0.0788
Gadarnhaol gwan
0.0272
Answer 14-
Gadarnhaol gwan
0.0047
Gadarnhaol gwan
0.0614
Negyddol gwan
-0.0311
Negyddol gwan
-0.0810
Negyddol gwan
-0.0221
Gadarnhaol gwan
0.0015
Gadarnhaol gwan
0.0793


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 y Cynnyrch Saas Pet Project Sdtest®

Roedd Valerii yn gymwys fel addysgegydd cymdeithasol-seicolegydd ym 1993 ac ers hynny mae wedi cymhwyso ei wybodaeth mewn rheoli prosiect.
Cafodd Valerii radd meistr a chymhwyster y prosiect a rheolwr rhaglen yn 2013. Yn ystod rhaglen ei feistr, daeth yn gyfarwydd â Map Ffordd Project (GPM Deutsche Gesellschaft für Projektmanagement e. V.) a Spiral Dynamics.
Cipiodd Valerii amryw o brofion dynameg troellog a defnyddio ei wybodaeth a'i brofiad i addasu'r fersiwn gyfredol o SDTest.
Valerii yw awdur archwilio ansicrwydd y V.U.C.A. Cysyniad gan ddefnyddio dynameg troellog ac ystadegau mathemategol mewn seicoleg, mwy nag 20 o bolau rhyngwladol.
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