Uncommon Sense Teaching: Teaching Online
Master innovative online teaching strategies using neuroscience-based approaches for effective virtual learning.
Master innovative online teaching strategies using neuroscience-based approaches for effective virtual learning.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Uncommon Sense Teaching Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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বাংলা, اردو, Azərbaycanca, 1 more
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What you'll learn
Design effective online learning experiences
Implement neuroscience-based teaching strategies
Create engaging virtual content
Facilitate online student interaction
Develop effective assessment methods
Skills you'll gain
This course includes:
5.2 Hours PreRecorded video
9 quizzes
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 modules in this course
This course combines neuroscience research with practical online teaching strategies. Students learn to create effective virtual learning environments, understand student motivation and engagement, and implement research-based teaching methods. The curriculum covers video production, student interaction, and assessment techniques for online learning.
Schemas, Motivation, and Teaching Online
Module 1 · 3 Hours to complete
Popcorn Time! Lessons from the Neuroscience of Movie Watching
Module 2 · 4 Hours to complete
Retrieval & Spaced Repetition in Online Learning
Module 3 · 2 Hours to complete
Preparing Now and for the Future through Great Online Teaching
Module 4 · 4 Hours to complete
Fee Structure
Instructors
Francis Crick Professor at the Salk Institute for Biological Studies
Terrence Sejnowski is a pioneering figure in computational neuroscience, dedicated to uncovering the principles that connect brain activity to behavior. His laboratory employs experimental and modeling techniques to investigate the biophysical properties of synapses and neurons, as well as the population dynamics within large neural networks. He has developed innovative computational models and analytical tools to explore how the brain represents information and how new representations emerge through learning algorithms that modify synaptic strengths.
Online Education Pioneer Advances Large-Scale Learning Through AI and Innovation
David Joyner is a distinguished leader in online education who serves as Executive Director of Online Education & OMSCS at Georgia Tech's College of Computing. With a Ph.D. in human-centered computing, he has made significant contributions to educational technology and AI-enhanced learning. His research focuses on leveraging artificial intelligence for student support, building vibrant online communities in large classes, and developing sustainable interactive learning materials. As an educator, he teaches five online courses reaching over 3,000 students per semester, while his published work includes over 50 papers and three books on online learning and computer science education. His excellence in online teaching has been recognized through multiple awards, including the 2022 College of Computing Outstanding Faculty Leadership Award and the 2019 USG Regents' Teaching Excellence Award. As chair of the ACM Learning @ Scale conference steering committee, he continues to shape the future of technology-mediated education at scale
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