Teaching Impacts of Technology: Fundamentals

Coursera Courses ↗ · Coursera

Open Course on Coursera

Free to audit · Opens on Coursera

Teaching Impacts of Technology: Fundamentals

Coursera · Beginner ·📊 Data Analytics & Business Intelligence ·1mo ago
In this course you’ll focus on the fundamentals of teaching the impacts of technology, starting by exploring how you interact with and benefit from technology in a typical 24 hour period, such as the desire for instant food and entertainment. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level. This course is part of a larger Specialization through which you’ll learn impacts of computing concepts you need to know, organized into 5 distinct digital "worlds”, as well as learn pedagogical techniques and evaluate lesson plans and resources to utilize in your classroom. By the end, you’ll be prepared to teach pre-college learners to be both savvy and effective participants in their digital world. In this particular digital world (daily life), you’ll explore the following Impacts & Technology pairs -- Impacts (Food Delivery): Apps that bring you food, drivers, and find and recommend businesses Technologies and Computing Concepts: Geolocation, Push Notifications, Near Field Communications, HMTL5, GPS, Graph representations, Minimal Spanning Trees, Shortest Path Algorithms Impacts (Entertainment): Streaming for entertainment and education, Environmental impact of Internet, YouTube culture Technologies and Computing Concepts: Data Centers, Downloading vs Streaming, Digital vs. Analog image representation, basic compression algorithms, Internet metrics (latency, bandwidth) In the pedagogy section for this course, in which best practices for teaching computing concepts are explored, you’ll learn to employ constructivist activities useful in teaching impacts of computing and to evaluate and contribute to an unplugged lesson plan. In terms of CSTA K-12 computer science standards, we’ll primarily cover learning objectives within the “impacts of computing” concept, while also including some within t
Watch on Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related AI Lessons

Fast Python prototyping for data science
Learn to rapidly prototype data science ideas in Python for faster model development and iteration
Medium · Programming
Selective CDC with Apache SeaTunnel: How to Capture Only the Database Changes You Need
Learn how to use Apache SeaTunnel for selective CDC to capture only the database changes you need, improving real-time data processing efficiency
Dev.to · Apache SeaTunnel
Data Warehouse vs Data Lake: Understanding Modern Data Storage Systems
Learn the difference between data warehouses and data lakes to make informed decisions about your company's data storage system
Medium · Data Science
Building a Monte Carlo Retirement Simulator in Python
Learn to build a Monte Carlo retirement simulator in Python to model thousands of possible market paths for more accurate retirement projections
Dev.to · pickuma
Up next
Excel Pivot Table Analysis & Visualization
Coursera
Watch →