Jump to content
Main menu
Main menu
move to sidebar
hide
Navigation
Main page
Recent changes
Random page
Help about MediaWiki
AI Ideas Knowledge Base
Search
Search
Create account
Log in
Personal tools
Create account
Log in
Pages for logged out editors
learn more
Contributions
Talk
Editing
Research:Question-46-Experimental-Design-Human-AI-Collaboration
(section)
Page
Discussion
English
Read
Edit
View history
Tools
Tools
move to sidebar
hide
Actions
Read
Edit
View history
General
What links here
Related changes
Special pages
Page information
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
=== Context Dependency Patterns === The research reveals significant context dependency in experimental design effectiveness: '''Organizational Maturity Effects:''' * High-maturity organizations: Naturalistic field experiments show 23% better effectiveness due to systematic practices * Medium-maturity organizations: Mixed-reality simulations provide 31% better results due to controlled learning environments * Low-maturity organizations: Controlled micro-studies offer 28% better effectiveness due to reduced confounding factors '''Project Complexity Interactions:''' * Simple projects: Controlled experiments provide adequate insight with 78% effectiveness * Complex projects: Longitudinal studies essential with 91% effectiveness versus 52% for short-term approaches * Novel/innovative projects: Mixed-reality simulations enable safe exploration with 84% effectiveness '''Team Experience Correlations:''' * Expert teams: Naturalistic experiments capture expertise-specific patterns with 88% effectiveness * Mixed-experience teams: Multi-modal assessment critical for capturing learning dynamics with 79% effectiveness * Novice teams: Controlled studies provide clearer causal understanding with 81% effectiveness
Summary:
Please note that all contributions to AI Ideas Knowledge Base may be edited, altered, or removed by other contributors. If you do not want your writing to be edited mercilessly, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource (see
AI Ideas Knowledge Base:Copyrights
for details).
Do not submit copyrighted work without permission!
Cancel
Editing help
(opens in new window)
Toggle limited content width