Teaching Impacts of Technology: Data Collection
Learn to teach K-12 students about data privacy, cybersecurity, and big data analysis through hands-on activities and real-world examples.
Learn to teach K-12 students about data privacy, cybersecurity, and big data analysis through hands-on activities and real-world examples.
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 Teaching Impacts of Technology in K-12 Education 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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What you'll learn
Understand and teach concepts of internet privacy and data collection
Explain cybersecurity principles and data protection methods
Teach big data analysis and machine learning concepts
Create effective learning objectives using Bloom's taxonomy
Implement hands-on activities for teaching computing concepts
Skills you'll gain
This course includes:
3.5 Hours PreRecorded video
9 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 5 modules in this course
This comprehensive course focuses on teaching the impacts of data collection and big data analysis in our digital world. Through paired teaching sections, educators learn to explain complex computing concepts at a K-12 appropriate level. The curriculum covers internet privacy, cybersecurity, machine learning, and data protection, providing hands-on activities and pedagogical techniques. Participants explore how to create meaningful learning objectives using Bloom's taxonomy and implement effective teaching strategies for computing concepts.
Course Orientation
Module 1 · 43 Minutes to complete
Data Collection
Module 2 · 4 Hours to complete
Data Privacy
Module 3 · 3 Hours to complete
Data Use
Module 4 · 2 Hours to complete
Impacts of Computing and Pedagogy
Module 5 · 1 Hours to complete
Fee Structure
Instructor
Computing Education Pioneer and Pedagogical Innovation Leader
Dr. Beth Simon serves as a Teaching Professor in the Department of Education Studies at UC San Diego, where she has revolutionized computer science education through evidence-based teaching practices and curriculum development. After earning her Ph.D. in Computer Science from UCSD in 2002, she has dedicated her career to advancing computing education at both K-12 and university levels. Her pioneering work includes developing high school computing curricula, implementing Peer Instruction methodologies, and creating the Graduate Certificate program for K-12 Computer Science Education. Her diverse roles have included serving as Director of UCSD's Center for Teaching Development, Principal Teaching and Learning Specialist at Coursera (2014-2015), and Faculty Advisor for Digital Learning in the UCSD Teaching + Learning Commons. Her research, supported by numerous National Science Foundation grants, has significantly improved student outcomes in computing education, particularly through active learning practices and technology-enhanced teaching. Her impact extends beyond UCSD through her work with the Carl Wieman Science Education Initiative at UBC and her leadership in developing MOOCs and professional development programs for educators nationwide.
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