This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools and critically interrogate the applications of AI in education. The course is designed to aspiring and current educators, and anyone who is interested in the intersection of human and machine learning, and AI applications in education.
Machine Learning and Human Learning
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Beginner level
No prior experience required
36 hours to complete
3 weeks at 12 hours a week
Flexible schedule
Learn at your own pace
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Taught in English
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There are 4 modules in this course
This course examines the differences between machine and human learning and the ways in which machines can complement human learning. It examines technical definitions of supervised and unsupervised machine learning, as well as broader views of mechanical intelligence able to replicate or exceed human intelligence. The course will also explore practical applications of learning analytics and artificial intelligence in learning management systems and other educational tools and critically interrogate the applications of AI in education.
What's included
7 videos9 readings3 peer reviews4 discussion prompts1 plugin
What's included
10 videos6 readings4 peer reviews4 discussion prompts
What's included
4 videos2 peer reviews2 discussion prompts
What's included
7 videos1 reading4 peer reviews4 discussion prompts1 plugin
Offered by
Recommended if you're interested in Education
Duke University
Google Cloud
Google Cloud
Scrimba
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