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Learning Science and Engineering Seminar 03/21/22 Ken Koedinger - Shared screen with speaker view
Paulo Carvalho
14:28
For those arriving just now: if you have questions, feel free to ask either by unmuting yourself or leaving questions in the chat. I will help coordinate. There will also be time at the end for questions.
Joseph Jay's Otter.ai
15:03
You can see the live meeting notes here: https://otter.ai/u/xQ9lXYniwWY_V0UT3vDMhTHdIUoScroll back to review anything you missed.
Paulo Carvalho
16:49
Thanks Joseph!
Jack Mostow
16:57
At wherever appropriate address Joe Beck's identifiability issue with BKT?
Jack Mostow
19:26
Herb Simon was red-green colorblind and complained about UIs that relied solely on color to distinguish things.
Joseph Jay's Otter.ai
24:58
Does anyone have any questions or action items?Let's capture them in the meeting notes: https://otter.ai/u/xQ9lXYniwWY_V0UT3vDMhTHdIUo
Sharon Carver (she/her)
25:37
Gray and blue
Lauren Herckis (she/her/hers)
32:58
So far so good!
Jack Mostow
41:45
Is Zoom unstable for others or just me?
Chinmay Kulkarni
41:52
just you
Paulo Carvalho
42:11
Mine is fine
Jack Mostow
42:45
Thanks. Karma for bragging about being a human bug magnet ;-).
Marsha Lovett (she/her)
47:13
I like this concrete hypothetical: lower half students (in terms of incoming k) need three times the practice as upper half… it speaks volumes
Yun Huang
50:19
Would there be confounding effect from KCs? I.e., (some) KC explains away the variance of learning rates of students?
Yun Huang
51:20
For example, some harder KCs only have faster students?
Yun Huang
56:59
depends on how much time they put?
Sergey Sosnovsky
57:06
maybe he worked harder =>
Marsha Lovett (she/her)
57:17
Could depend on practice, tot
Brusilovsky, Peter Leonid
58:01
maybe better students practiced with more "optimal" activities?
Sergey Sosnovsky
58:03
interestingly, industriousness is a better predictor of academic success than IQ
Lauren Herckis (she/her/hers)
59:44
This comports with research from the social sciences about the enabling conditions of academic success-- it's about whether students are given the tools for success (not some innate quality)
Dalila Dragnic-Cindric
01:00:03
Does students’ interest relate to the rate of learning and the effort they put in?
Chinmay Kulkarni
01:01:45
does this mean people should *try* to learn everything?
Bruce McLaren
01:02:19
In your analogue from Calculus to language learning: Good switch from informal learning to implicit learning (which was in an earlier draft of your paper)
Brusilovsky, Peter Leonid
01:03:51
Is it correct to consider all opportunities as equal?
Brusilovsky, Peter Leonid
01:07:19
How it agrees with zone of proximal development, there is best time for everything, not every time is best..
Sharon Carver (she/her)
01:07:38
+1 Peter
Megan Andrew
01:12:47
Do strategies to support effort need to be human? (Can a chat bot or other tech substitute effectively? And for what learner populations?)
Megan Andrew
01:13:27
Yep
Megan Andrew
01:14:02
Tech might be better if it provides those opps better, more easily
Bruce McLaren
01:14:05
Interesting! Let’s look at the data.
Harley Chang
01:19:48
Thanks for the talk Ken!
Perfetti, Charles A
01:20:00
Great presentation Kem
Yun Huang
01:20:01
Thanks Ken!! Great talk!
Tanvi Domadia
01:20:04
Thanks Ken, great presentation!
Lauren Herckis (she/her/hers)
01:20:07
Thank you!
Pallavi Chhabra
01:20:26
Thank you!
Ann-Christin Falhs
01:20:33
Thanks for this very interesting presentation!
Sebastian Strauß (Ruhr-University Bochum, Germany)
01:20:38
yes, thanks for the presentation and the opportunity to join you :)
Brusilovsky, Peter Leonid
01:20:40
good insights. thanks...
Yun Huang
01:20:54
Is there a way to get the recorded talk ?