Learning Is Optimized When We Fail 15% of the Time
Posted4 months agoActive4 months ago
neurosciencenews.comResearchstory
calmpositive
Debate
20/100
Learning TheoryEducationCognitive Science
Key topics
Learning Theory
Education
Cognitive Science
Research suggests that learning is optimized when individuals experience a moderate level of difficulty, failing around 15% of the time, and this concept is related to the 'frustration level' and 'instructional level' in educational contexts.
Snapshot generated from the HN discussion
Discussion Activity
Light discussionFirst comment
29m
Peak period
1
0-1h
Avg / period
1
Key moments
- 01Story posted
Sep 19, 2025 at 6:27 PM EDT
4 months ago
Step 01 - 02First comment
Sep 19, 2025 at 6:57 PM EDT
29m after posting
Step 02 - 03Peak activity
1 comments in 0-1h
Hottest window of the conversation
Step 03 - 04Latest activity
Sep 19, 2025 at 6:57 PM EDT
4 months ago
Step 04
Generating AI Summary...
Analyzing up to 500 comments to identify key contributors and discussion patterns
Discussion (1 comments)
Showing 1 comments
lazyasciiart
4 months ago
Interesting. I’m helping my son with some remedial work and this sounds like what is called the “frustration level” - 85-90% accuracy, more than one mistake in every ten words. The “instructional level” - reading to improve the skill of reading - is a bit lower at 90-95%, less than one mistake in every ten words. Computers certainly don’t experience frustration, and I don’t know if animals would in the studies mentioned - but in kids, it’s associated with giving up on a skill and taking a dislike to the whole thing. So there would have to be some investigation into whether working at this zone of optimal learning actually produced optimal outcomes in people.
View full discussion on Hacker News
ID: 45307492Type: storyLast synced: 11/17/2025, 4:06:46 PM
Want the full context?
Jump to the original sources
Read the primary article or dive into the live Hacker News thread when you're ready.