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Buy:
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Computer Vision: Invisible Animals
Note: Lesson plan and resources for this activity can be found at the bottom of this page.
Overview
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Camouflage is evidence of natural selection at work. In this lesson, students will
contextualize this by using computer vision to create a digital chameleon that can change colour to match its surroundings. |
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Computer Vision (CV)
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Computer vision, often abbreviated as CV, is a field of study that tries to teach computers how to “see” and interpret the world around them.
By using AI in computer vision, we can train computers to assess visual data such as photos, images, and videos, enabling us humans to gather and process huge amounts of information, much more quickly than we could do on our own. |
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COMPUTER VISION APPLICATIONS
Common Computer Vision applications include:
Computer vision has infinite applications across many different industries, from retail to banking, automotive to entertainment, and agriculture to healthcare, just to name a few. Computer vision technology powers innovation including Touch ID on iPhones, Facebook auto-tagging, image search engines, Instagram filters, QR codes, bar codes, autonomous vehicles, medical imaging and speed cameras. |
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Lesson Plan
Lesson Plan: Chatting Robot
Creating a Machine Learning Sentiment Analysis Bot
This lesson is aligned with the National Curriculum in England: Secondary Curriculum (Key Stage 2/3)
Overview
In this lesson, students will create a chatting robot using machine learning and NLP.
Learning Objectives
Materials Needed
Lesson Outline
Starter (10 mins)
Direct students to one of the online chat bots listed below. Instruct students to ask the chat bots a series questions and note down any unusual or unexpected answers.
Note: Some online chat-bots learn from previous conversations. As a result, there may be some cases where what the chat bot says may be deemed as inappropriate. Use these sites at your own risk. TeachwithICT.weebly.com is not responsible for the content of external Internet sites.
Online chat bots:
After a few minutes, stop the class and ask them to feedback their findings to the rest of the class.
Note down some of the students’ findings and ask the students why they think the chat bot could not answer all of their questions.
Ask the students why you think it is so hard to make a computer appear as if it able to think like a human. Try to draw out answers such as “Computers can only follow a given sequence of instructions” or “Computers can only respond to questions they have been programmed to answer” – give students prompts where necessary.
Explain to students about the Turing Test and discuss the concept of Artificial Intelligence (AI). Finally, inform students that they are going to create a chatting robot (chat bot) and that there will be a prize for the most convincing robot (the prize is optional).
Introduction (10 mins)
Introduce the concept of Natural Language Processing (See description above) and it's applications in everyday life (e.g., virtual assistants, translation tools, predictive text etc.).
Inform the students that they will be creating an NLP-powered chatbot, using an experimental version of Scratch and machine learning techniques.
Hands-On Activity (30 mins)
Plenary (10 mins)
Direct students to swap places with a partner or person next to them and try out their chat bot. Instruct the students to leave a comment in their partner’s code suggesting at least one improvement. After a few minutes, ask the students to return to their seats and make any suggested improvements.
As an extra incentive, you could offer a prize for the most convincing chat bot (almost like a mini Loebner Prize - http://en.wikipedia.org/wiki/Loebner_Prize) However, rather than rewarding the students with $6,000 for creating the most convincing chat bot, I suggest some chocolate instead!
Assessment Criteria
Creating a Machine Learning Sentiment Analysis Bot
This lesson is aligned with the National Curriculum in England: Secondary Curriculum (Key Stage 2/3)
Overview
In this lesson, students will create a chatting robot using machine learning and NLP.
Learning Objectives
- Understand the basic principles of machine learning and its applications
- Understand and use sequence in an algorithm
- Understand and use iteration in an algorithm (FOR and WHILE loops)
- Understand and use selection in an algorithm (IF, Else and Else if)
- Develop skills in creating and training a machine learning model.
- Create an NLP chatbot using Scratch and machinelearningforkids.co.uk.
Materials Needed
- Computers with internet access
- Access to machinelearningforkids.co.uk
- Scratch 3 (online version via machinelearningforkids.co.uk)
- Projector and screen for demonstration
- Handouts with step-by-step instructions (see resources below)
Lesson Outline
Starter (10 mins)
Direct students to one of the online chat bots listed below. Instruct students to ask the chat bots a series questions and note down any unusual or unexpected answers.
Note: Some online chat-bots learn from previous conversations. As a result, there may be some cases where what the chat bot says may be deemed as inappropriate. Use these sites at your own risk. TeachwithICT.weebly.com is not responsible for the content of external Internet sites.
Online chat bots:
- Evie (recommended!) - http://www.existor.com
- Jabberwacky - http://www.jabberwacky.com
- Brain Bot - http://www.botlibre.com/chat.jsp
- SkyNet Ai - http://home.comcast.net/~chatterbot/bots/AI/SkynetV5/
- Clever Bot - http://www.cleverbot.com
After a few minutes, stop the class and ask them to feedback their findings to the rest of the class.
Note down some of the students’ findings and ask the students why they think the chat bot could not answer all of their questions.
Ask the students why you think it is so hard to make a computer appear as if it able to think like a human. Try to draw out answers such as “Computers can only follow a given sequence of instructions” or “Computers can only respond to questions they have been programmed to answer” – give students prompts where necessary.
Explain to students about the Turing Test and discuss the concept of Artificial Intelligence (AI). Finally, inform students that they are going to create a chatting robot (chat bot) and that there will be a prize for the most convincing robot (the prize is optional).
Introduction (10 mins)
Introduce the concept of Natural Language Processing (See description above) and it's applications in everyday life (e.g., virtual assistants, translation tools, predictive text etc.).
Inform the students that they will be creating an NLP-powered chatbot, using an experimental version of Scratch and machine learning techniques.
Hands-On Activity (30 mins)
- Direct students to machinelearningforkids.co.uk and have them click on 'try it now'.
- Guide students through creating a machine learning project that recognises text.
- Share the instructions for creating an AI chatbot (below) and challenge students to create their own chatbot on a topic of their choice.
- Once the training is complete, have students test their model using the examples they supplied and new ones.
Plenary (10 mins)
Direct students to swap places with a partner or person next to them and try out their chat bot. Instruct the students to leave a comment in their partner’s code suggesting at least one improvement. After a few minutes, ask the students to return to their seats and make any suggested improvements.
As an extra incentive, you could offer a prize for the most convincing chat bot (almost like a mini Loebner Prize - http://en.wikipedia.org/wiki/Loebner_Prize) However, rather than rewarding the students with $6,000 for creating the most convincing chat bot, I suggest some chocolate instead!
Assessment Criteria
- Understanding of machine learning concepts and applications.
- Ability to create and train a machine learning model with appropriate examples.
- Successful creation of an NLP chatbot using Scratch.
Step-by-step instructions:
| chatbot_worksheet__scratch_.pdf |
