AI Novus
- Grades: 2-5
- Number of Students: 1
- Number of Lessons: ~ 30 lessons
- Contact Hours: N/A
- Additional Resources: Free AI Samples, Real World AI Applications & Additional Resources, AIWS Course Overview, AIWS Course Curriculum Overview
Highlights:
The AI Novus course is designed for students between the ages of 7 and 10 who are new to the field of Artificial Intelligence. The course is designed to provide students with a rich, hands-on learning experience and will cover 5 big ideas in AI. The course is delivered online and self-learning, with a total of approximately 30 lessons, each lasting approximately 1 hour.The course material is designed to be experiential, with hands-on coding activities and real-world examples to help students understand the impact AI is having and will have in various fields and industries. The course includes the use of coding tools such as Cognimates, mBlock, and the Phiro Code mobile app, as well as 5 quizzes to test students' understanding of the material.
The course culminates in a capstone project, allowing students to apply their newly acquired skills and knowledge to build an AI project of their own. Upon completion of the course, students will receive a course certificate and will have access to the AIWS community for a period of one year.
Features:
- Age range: 7 to 10 years
- Level: Beginner
- Duration: 24 Sessions x ~ 1 hour
- Mode: Online and Self-Learning
- Learning Content: Rich & Experiential
- # of lessons: ~ 30 lessons
- # of quizzes: Five
- Learning Experience: Hands-On
- Concepts: 5 Big ideas in AI
- Coding Tools: Cognimates, mBlock, Phiro Code mobile app
- Capstone Projects: 1
- Course License validity: One year
- Course Certificate on Completion
- Membership to AIWS Community
Curriculum or Lesson Topics:
Courses
AI Novus Chapter 1
This is a basic chapter on Artificial Intelligence.
This chapter includes:
- Two lessons on AI
- 1.1 Are Machines Intelligent?
- 1.2 Where Can I Find AI Around Me?
- One Quiz
AI Novus Chapter 2
This is a basic chapter on Perception.
This chapter includes:
- Two lessons on Perception
- 2.1 How Does AI Perceive Things?
- 2.2 Can AI Perceive Emotions?
- Eleven AI Challenges
- One Quiz
AI Novus Chapter 3
This chapter will introduce learners to the basics of human and AI interaction.
This chapter includes:
- Two lessons on AI
- 3.1 Can AI Understand What We Are Saying?
- 3.2 How Does Natural Language Processing Work?
- Eleven AI Challenges
- One Quiz
AI Novus Chapter 4
This chapter will introduce learners to the basics of Machine Learning.
This chapter includes:
- One lesson on AI
- 4.1 How Do Machines Learn Using AI?
- Three challenges
- One Quiz
AI Novus Chapter 5
This chapter will introduce learners to the impacts of AI on our lives.
This chapter includes:
- One lesson on AI
- 5.1 is AI Good Or Bad For Us?
- One Quiz
Curriculum
| Themes and Modules | Learning Outcomes |
| What is AI? | This experiential course provides students with an overview of the elements and concepts of Artificial Intelligence. |
| Can AI sense the world around them? | Demonstrate how computers sense and perceive the world around them. |
| Can AI recognise human emotions? | Discover various computer vision tools to read and recognise emotion. |
| How does AI perceive things? | Explore how AI perceives with a fun project explaining gesture control. |
| Is text recognition possible by AI? | Design an AI program that will read and recognise text using computer vision tools. |
| Does a computer have vision? | Analyse how an AI program will use computer vision tools to read and recognise emotions. |
| Do machines understand human sentiments? | Articulate and create an AI program that will recognise the user’s "Smile" score using sentiment analysis tools. |
| How can we enable AI to track user hand movement? | Execute an AI program that will recognise the user’s hand using computer vision tools. |
| How do machines learn using AI? | Explore and experience the need for labelled data for machines to learn. |
| Is decision making possible by AI? | Plan and employ models and concepts to help decision making through data acquired. |
| Can machines read and understand the entered text? | Build knowledge by actively exploring real-world situations to understand sentiment analytical tools. |
| Can we make a machine intelligent? | Create a machine that will analyse text, semantics and understand NLP concepts and its impact. |
| What is natural language processing? | Deep dive to understand the various facets of Natural Language Processing. |
| What is machine learning? | Model and nurture creativity and creative expression by understanding Machine Learning. |
| Do machines understand human language? | Design and implement an AI program to make machines understand human language. |
| How can we model machines to recognise colors? | Explore how machine learning models and concepts help in decision making through data acquired over time using colour as basis. |
| Does AI support language translation? | Design a language translator & understand its real world applications. |
| How do machines learn using AI? | Create an intelligent machine that will learn by itself. |
| Do machines also exercise? | Explore how computers understand natural human language. They will create an Intelligent machine that will analyse Text, Semantics and draw different shapes. |
| What are conversational agents? | Play & Learn with conversational agents such as Alexa, Google Assistant or Siri and learn how to develop a simple conversational agent. |
| Is AI language dependent or can it recognise any language? | Explore how computers understand different languages. |
| Can AI create and play music its own music? | Develop an intelligent machine that will analyse and play music of your choice. |
| How does AI draw different shapes? | Explore how computers understand natural human language and create an intelligent machine that will analyse text, semantics and draw different shapes. |
| Is it possible to detect a person's face by AI? | Learn about Perception in AI and execute an AI programme that will detect a person’s face. |
What’s Included:
1-year access for 1 student for AI World School's AI Novus Course Program.
Additional Information and Resources:
- Free AI Samples
- Real World AI Applications & Additional Resources
- AIWS Course Overview
- AIWS Course Curriculum Overview
Technology Requirements/Specifications:
Minimum Tech Requirements:
- Operating System: Windows 10+
- CPU: Intel Core i3 & above | 64 bit processor
- RAM: 4 GB minimum
- Network: Wired DSL Internet Connection, 40 Mbps minimum
Special Notes and Considerations:
PLEASE NOTE: This product is a temporary digital license and not a physical product. We DO NOT accept returns or refunds on digital licenses.
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