This short video and interactive assessment activity is designed to teach fifth graders about determining whether various shapes have lines of symmetry.
This short video and interactive assessment activity is designed to teach third graders about listing all factors.
This short video and interactive assessment activity is designed to teach fourth graders about listing common multiples.
Students can map out the key literary elements of character, setting, conflict, and resolution as prewriting for their own fiction or as analysis of a text by another author in this secondary-level interactive.
Pamela explains the difference between "local" and "global" variables, a tricky concept in programming.
In this interactive activity adapted from Annenberg Learner’s Teaching Math Grades 6–8, students interpret two line graphs to identify possible locations where the data might have been gathered.
Pamela shows how to use different logical operators (like && and ||) inside if statements.
This is a BlendSpace lesson on the persuasive appeals - ethos, logos, and pathos. It involves note-taking, an understanding check quiz, and an application assignment in which students analyze a commercial or print ad for its use of ethos, logos, and pathos.
This short video and interactive assessment activity is designed to teach fifth graders about multiple rounds of division - long division word problems.
This short video and interactive assessment activity is designed to teach fifth graders about dividing 3 and 4 digit numbers by 2 digit numbers.
This short video and interactive assessment activity is designed to teach fourth graders about dividing 3 and 4 digit numbers by 2 digit numbers.
Pamela explains how to use loops to iterate through each value in an array.
Learn several techniques for looping through jQuery collections, using both a for loop and a jQuery method.
Everyone will be impacted by AI in daily life and in the workplaces of the future. It is critical for all students to have fundamental knowledge of AI and to understand AI’s potential for good and harm. The Daily-AI program will jumpstart your readiness for AI and give you the tools you need to prepare for the AI-enabled world.
The Daily-AI workshop, designed by MIT educators and experienced facilitators, features hands-on and computer-based activities on AI concepts, ethical issues in AI, creative expression using AI, and how AI relates to your future. You will experience training and using machine learning to make predictions, investigate bias in machine learning applications, use generative adversarial networks to create novel works of art, and learn to recognize the AI you interact with daily and in the world around you.
This curriculum is currently being piloted through NSF EAGER Grant 2022502. This is a joint venture between the Personal Robots Group at the MIT Media Lab, MIT STEP Lab, and Boston College.
Contents:
Unit 0: What is AI?
- What is AI
- Algorithms as Opinions
- Ethical Matrix
- Decision Trees
- Investigating Bias
Unit 1: Supervised Machine Learning
- Introduction to Supervised Machine Learning
- Neural Networks
- Classifying AI vs. Generating AI
Unit 2: GANs
- What are GANs?
- Generator vs. Discriminator
- Unanticipated Consequences of Technology
- AI Generated Art
- What are Deepfakes?
- Spread of Misinformation
- Generate a Story
Unit 3: AI + My Future
- Environmental Impact of AI
- Redesign YouTube
- Careers in AI
This LO demonstrates how to create in-text citations for tricky situations including more than one author, multiple quotes by the same source in a paragraph, corporate authors, electronic sources.
This LO demonstrates how to create the most common types of in-text citations.
This LO demonstrates how to follow MLA guidelines to set up a document.
This LO introduces how to correctly format a block quote following MLA 8.
This LO covers how to create both the in-text citation and works cited citation for books.
This LO covers how to create both the in-text citation and works cited citation for most electronic sources students will encounter.