Hour of AI: Machine Learning: What is a Blorg?
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Hour of AI: Machine Learning: What is a Blorg?
45min
Students will be able to explain how AI learns by recognizing patterns in data and identify the attributes AI uses, including those in recognition software that help distinguish humans.
Lesson Preparation
* _This is the Hour of AI version of the lesson. For the original version, see the lesson with the same title (without “Hour of AI”)._
* It is recommended that you present the interactive activity for the whole class to complete together. During the activity, there are pauses for class discussion. Click the continue button to move on when the class has finished their discussion.
* Print one handout for each student to complete to create their own alien species. Students will need coloring materials and scissors for this activity.
* Share the CodeHS Mascot AI Model link with students so they can complete the activity individually.
Lesson Plan
Lesson Slides
Lesson Standards
| Standard | Description |
|---|---|
| AL DLCS 1: DLCS18.1.1 | Classify and sort information into logical order with and without a computer. |
| AL DLCS 2: DLCS18.2.1 | Create and sort information into useful order using digital tools. |
| AZ CS 1: 1.DA.IM.1 | Identify patterns in data to make inferences or predictions. |
| AZ CS K-5: 1.DA.IM.1 | Identify patterns in data to make inferences or predictions. |
| CA CS K-2: K-2.NI.6 | Create patterns to communicate a message. |
| CA CS K-5: K-2.NI.6 | Create patterns to communicate a message. |
| CO CS 1: CS.1.2.1b | Students can describe the difference between online and local use of computing devices. |
| CO CS 2: CS.2.5.1a | Students can demonstrate how to train a computer to recognize something. |
| CO CS 2: CS.2.5.1b | Students can describe and provide examples of how people learn and how computers learn. |
| CO CS 2: CS.2.5.1c | Students can describe the kinds of tasks an intelligent assistant can and cannot perform. |
| FL CS K-2: SC.K2.CS-CS.2.2 | Solve age-appropriate problems (e.g., puzzles and logical thinking programs) with or without technology (i.e., computational thinking). |
| FL CS K-2: SC.K2.CS-CP.1.1 | Identify different kinds of data (e.g., text, charts, graphs, numbers, pictures, audio, video, and collections of objects). |
| FL CS K-2: SC.K2.CS-CP.1.3 | Propose a solution to a problem or question based on an analysis of the data and critical thinking, individually and collaboratively. |
| FL CS K-2: SC.K2.CS-PC.2.2 | Communicate about technology using developmentally appropriate terminology. |
| FL GR1 CS Foundations: SC.1.TI.1.3 | Explore Artificial Intelligence (AI)-powered devices. |
| GA CS K-2: CSS.EL.K-2.1 | Recognize that technology provides the opportunity to enhance relevance, increase confidence, offer authentic choice, and produce positive impacts in learning. |
| GA CS K-2: CSS.CT.K-2.5.2 | Identify patterns. |
| GA CS K-2: CSS.DA.K-2.9.1 | Understand that technology is everywhere and changes our lives |
| ID CS K-2: K-2.CT.2.4 | Analyze age-appropriate data and look for similarities in order to identify patterns and categories. |
| IL K-2: K-2.ET.E | Create new or original work by applying emerging technologies. |
| KY CS K-5: E-DA-03 | Analyze data for trends and relationships |
| MA DLCS K-2: K-2.CT.c.1 | Identify different kinds of information (e.g., text, charts, graphs, numbers, pictures, audio, video, collections of objects.) |
| NJ CS K-2: 8.1.2.DA.3 | Identify and describe patterns in data visualizations. |
| NY CS 2-3: 2-3.IC.5 | Identify and discuss how computers are programmed to make decisions without direct human input in daily life. |
| NY CS K-1: K-1.CT.1 | Identify and describe one or more patterns (found in nature or designed), and examine the patterns to find similarities and make predictions. |
| NY CS K-1: K-1.CT.2 | Identify different kinds of data that can be collected from everyday life. |
| NY CS K-6: K-1.CT.1 | Identify and describe one or more patterns (found in nature or designed), and examine the patterns to find similarities and make predictions. |
| NY CS K-6: K-1.CT.2 | Identify different kinds of data that can be collected from everyday life. |
| OH CS 1: AI.P.1.b | With guidance and support, use intelligent agents to help answer simple questions. |
| OH CS 1: AI.NI.1.a | Using recognition software, identify attributes that computers use for identification to explain how computers recognize humans. |
| OH CS 2: AI.NI.2.a | List possible attributions computers can use to distinguish humans from each other by comparing these attributions. |
| OH CS K: AI.P.K.b | With guidance and support, access intelligent agents to demonstrate how they work. |
| OH CS K: AI.NI.K.a | With guidance and support, identify how computers can recognize different humans using some form of recognition software to see how computers interact with humans. |
| RI CS 1B: 1B-DA-IM-1 | Use data to highlight or propose cause-and-effect relationships, predict outcomes, or communicate an idea. |
| RI CS K-5: 1B-DA-IM-1 | Use data to highlight or propose cause-and-effect relationships, predict outcomes, or communicate an idea. |
| SD CS K-2: K-2.IC.01 | Describe past, present, and possible future impacts of technology on society. |
| SD CS K-2: K-2.IC.02 | Identify and explain how technologies are used in daily life, school, and the workforce. |
| Texas 1 Technology Applications: 1.1.B | Identify the simple patterns found in the solutions to everyday problems or tasks. |
| TN CS 1: 1.DA.2 | Organize data using similarities and differences. |
| TN CS K-5: AIT.7 | Infer and predict or propose relationships with data. |
| TN CS K-5 2022: 1.DA.2 | Organize data using similarities and differences. |
| TN CS K-5 2022: 3.DA.1 | Use data to highlight or propose cause-and-effect relationships, predict outcomes, or communicate an idea. |
| TX K-5 CS: 1.1.B | Identify the simple patterns found in the solutions to everyday problems or tasks. |
| WI CS K-2: AP1.a.3.e | Categorize a group of items based on the attributes of actions of each item, with or without a computing device. |
| WI CS K-2: DA2.b.1.e | Sort objects into buckets, recognizing relevant and/or irrelevant data (e.g., one of these things is not like the other). |
| WI CS K-2: IC2.c.1.e | Work with others as co- learners to solve a problem or reach a goal. |