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
0.0709
Negyddol gwan
-0.0028
Gadarnhaol gwan
0.1106
Negyddol gwan
-0.0994
Negyddol gwan
-0.0085
Negyddol gwan
-0.0583
Gadarnhaol gwan
0.0110
Answer 2-
Gadarnhaol gwan
0.0280
Gadarnhaol gwan
0.0016
Gadarnhaol gwan
0.0403
Negyddol gwan
-0.0300
Gadarnhaol gwan
0.0444
Negyddol gwan
-0.0020
Negyddol gwan
-0.0658
Answer 3-
Negyddol gwan
-0.0147
Negyddol gwan
-0.0480
Negyddol gwan
-0.0065
Gadarnhaol gwan
0.0458
Negyddol gwan
-0.0093
Negyddol gwan
-0.0046
Gadarnhaol gwan
0.0184
Answer 4-
Gadarnhaol gwan
0.0166
Gadarnhaol gwan
0.0057
Gadarnhaol gwan
0.0186
Negyddol gwan
-0.0386
Negyddol gwan
-0.0325
Negyddol gwan
-0.0142
Gadarnhaol gwan
0.0482
Answer 5-
Gadarnhaol gwan
0.0043
Negyddol gwan
-0.0109
Negyddol gwan
-0.0187
Gadarnhaol gwan
0.0505
Negyddol gwan
-0.0008
Gadarnhaol gwan
0.0361
Negyddol gwan
-0.0520
Answer 6-
Negyddol gwan
-0.0401
Negyddol gwan
-0.0583
Negyddol gwan
-0.0839
Gadarnhaol gwan
0.0803
Negyddol gwan
-0.0010
Gadarnhaol gwan
0.0548
Gadarnhaol gwan
0.0139
Answer 7-
Negyddol gwan
-0.0560
Gadarnhaol gwan
0.1141
Negyddol gwan
-0.0539
Negyddol gwan
-0.0116
Negyddol gwan
-0.0001
Negyddol gwan
-0.0108
Gadarnhaol gwan
0.0246
2) Rheoli (faint ydych chi'n cytuno neu'n anghytuno?)
Answer 8-
Gadarnhaol gwan
0.0279
Gadarnhaol gwan
0.0172
Gadarnhaol gwan
0.0623
Gadarnhaol gwan
0.0562
Negyddol gwan
-0.0184
Negyddol gwan
-0.0748
Negyddol gwan
-0.0562
Answer 9-
Gadarnhaol gwan
0.0074
Negyddol gwan
-0.0274
Negyddol gwan
-0.0412
Gadarnhaol gwan
0.0323
Gadarnhaol gwan
0.0853
Negyddol gwan
-0.0162
Negyddol gwan
-0.0452
Answer 10-
Gadarnhaol gwan
0.0176
Negyddol gwan
-0.0320
Negyddol gwan
-0.0396
Negyddol gwan
-0.0023
Negyddol gwan
-0.0136
Gadarnhaol gwan
0.0492
Gadarnhaol gwan
0.0170
Answer 11-
Gadarnhaol gwan
0.0321
Gadarnhaol gwan
0.0105
Gadarnhaol gwan
0.0134
Negyddol gwan
-0.0615
Negyddol gwan
-0.0101
Negyddol gwan
-0.0137
Gadarnhaol gwan
0.0401
Answer 12-
Negyddol gwan
-0.0132
Gadarnhaol gwan
0.0326
Gadarnhaol gwan
0.0613
Gadarnhaol gwan
0.0349
Negyddol gwan
-0.0699
Gadarnhaol gwan
0.0061
Negyddol gwan
-0.0382
Answer 13-
Negyddol gwan
-0.1088
Negyddol gwan
-0.0423
Negyddol gwan
-0.0096
Negyddol gwan
-0.0013
Gadarnhaol gwan
0.0092
Gadarnhaol gwan
0.0769
Gadarnhaol gwan
0.0302
Answer 14-
Gadarnhaol gwan
0.0043
Gadarnhaol gwan
0.0611
Negyddol gwan
-0.0311
Negyddol gwan
-0.0806
Negyddol gwan
-0.0219
Gadarnhaol gwan
0.0017
Gadarnhaol gwan
0.0791


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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