machine(learning(|(stanford( design(and(analysis(of...
TRANSCRIPT
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Ethan Solomon [email protected]
MACHINE LEARNING | STANFORD
DESIGN AND ANALYSIS OF ALGORITHMS | STANFORD
PRINCIPLES OF MICROECONOMICS | UPENN
COMPUTER SCIENCE & PROGRAMMING| MITx
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What do MOOCs do well?
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Lesson 1: try, try again
You have used 4 of 30 submissions
(then try some more)
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little green checkmarks can be surprisingly addicting
Lesson 2:
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Lesson 3: streamlined is better MOOCs are more efHicient information delivery systems
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Lesson 4: go at your own pace (sort of)
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Where is there room for improvement?
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Feedback is deprived with autograders, feedback is mostly right-‐or-‐wrong.
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Little creativity in lectures in-‐video questions are nice, but
little else is different from brick-‐and-‐mortar lectures
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Course organization some course teams may initially struggle to meet the demands of a large audience or their own self-‐imposed deadlines.
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21st century learning
20th century campus
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