AI and STEM Education with IoT

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Questions and Answers

What is the primary goal of the AI4STEM module?

  • To teach students advanced programming skills.
  • To help teachers understand and explore AI and its interaction with IoT in the classroom. (correct)
  • To replace traditional teaching methods with AI.
  • To develop new AI algorithms for educational robotics.

Which of the following combines computer science and robust datasets to enable problem-solving?

  • Internet of Things (IoT)
  • Artificial Intelligence (AI) (correct)
  • Automation
  • Robotics

What is the definition of a 'Robot'?

  • A machine that performs tasks exactly like humans.
  • Any automatically operated machine that replaces human effort. (correct)
  • A computer program that simulates human intelligence.
  • A machine that always resembles a human.

Which of the following is a type of capacity-based AI?

<p>Artificial Narrow Intelligence (ANI) (C)</p> Signup and view all the answers

What does Artificial Narrow Intelligence (ANI) describe?

<p>AI tools designed to execute very specific actions or commands. (D)</p> Signup and view all the answers

What is the goal of Artificial General Intelligence (AGI)?

<p>To create machines that can learn, think, and perform tasks almost as a human. (B)</p> Signup and view all the answers

Which type of AI is still under development and aims to perform tasks like a human assistant?

<p>Artificial General Intelligence (AGI) (D)</p> Signup and view all the answers

What is Artificial Superintelligence (ASI) primarily featured in?

<p>Science fiction movies (B)</p> Signup and view all the answers

Which type of AI reacts immediately to a request but doesn't store memory or learn from past experiences?

<p>Reactive Machines (B)</p> Signup and view all the answers

Which AI type can store past data to make predictions?

<p>Limited Memory (C)</p> Signup and view all the answers

Which AI type is related to understanding human motives and reasoning?

<p>Theory of mind (D)</p> Signup and view all the answers

What is a key characteristic of 'Self-Aware' AI?

<p>It can think independently. (C)</p> Signup and view all the answers

What does the Internet of Things (IoT) enable?

<p>Computing devices to transfer information over a network without human interaction. (B)</p> Signup and view all the answers

What is AI strongly connected to?

<p>The Internet of Things (IoT) (A)</p> Signup and view all the answers

Which of the following is an example of IoT and AI working together?

<p>A smart thermostat (A)</p> Signup and view all the answers

What is one of the '5 Big Ideas' of AI?

<p>Societal Impact (C)</p> Signup and view all the answers

What does the 'Perception' Big Idea in AI refer to?

<p>The ability of computers to 'see' and 'hear' using sensors. (D)</p> Signup and view all the answers

What is the meaning of 'Representation and Reasoning' in AI?

<p>The ability of agents to maintain representations of the world and use them for reasoning. (B)</p> Signup and view all the answers

What is one potential negative Societal Impact of AI?

<p>Having biases in the data while training the AI (A)</p> Signup and view all the answers

Which of the following is an ethical concern regarding AI?

<p>Data responsibility and privacy (D)</p> Signup and view all the answers

Flashcards

Artificial Intelligence (AI)

The ability of machines to simulate human intelligence processes using computer programs.

Robot

Automatically operated machine replacing human effort, but it may not resemble humans.

Capacity-based AI

AI is categorized by capability into: Artificial Narrow Intelligence; Artificial General Intelligence; Artificial Superintelligence

Functionality-Based AI

AI applies its learning capabilities to process data, respond to stimuli and interact with its environment. AI can be sorted by functionality types (how it functions).

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AI4K12 project

Project focused on teaching AI in K-12 (primary-secondary) in the United States, aligned with CSTA standards.

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Internet of Things (IoT)

Using computer tools to automate real-world processes, reducing direct human participation. Computing devices transfer information over a network automatically.

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Artificial Narrow Intelligence (ANI)

Describes AI tools designed for very specific actions/commands, like image recognition software, e.g. Siri or Alexa.

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Artificial General Intelligence (AGI)

AI that can learn, think, and perform tasks almost as a human, like assistants for humans. Current generative AI models like ChatGPT may eventually reach this level.

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Artificial Superintelligence (ASI)

The kind of machine that appears in science fiction. Once AI machines reach general intelligence, they will surpass human intelligence.

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Reactive Machines

AI responds immediately to requests but can't store memory or learn from past experiences. E.g. Spam filters.

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Limited Memory AI

AI that can store past data and make predictions using it, improving performance through stored knowledge, e.g. chatbots and self-driving cars.

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Theory of Mind AI

AI which models emotions and subtle environmental changes to predict actions. Still very far from realization.

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Self-Aware AI

Hypothetical AI which reaches singularity with self-awareness, potentially surpassing human control.

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Representation & Reasoning (in AI)

How AI Agents maintain representations of the world to preform reasoning and work with data.

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Natural Interaction (AI)

AI agent requires various kinds of knowledge to interact with humans naturally, e.g. conversing in human languages.

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Societal Impact (AI)

AI has both a positive and negative influence on society, requiring a balance between technology and human interaction.

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AI and learning user preferences

AI algorithms learn user preferences and adjust to what is expected of them, improving with time and creating a better experiences for users.

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Perception

Computers can perceive the world with sensors such as cameras. AI has enabled computers to 'see' and 'hear'.

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Learning

Agents can learn by themselves from the various inputs it receives. Machine learning helps in finding patterns in data.

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Study Notes

  • The AI4STEM curriculum explores the application of AI in educational robotics and introduces the 5 Big Ideas in Artificial Intelligence using the Internet of Things in STEM education.
  • The project number is 2022-1-FR01-KA220-SCH-000085611 and was finalized on August 24, 2023.

Revision History

  • A draft version was created on August 24, 2023, by Sofia Sousa, Ana Barroca, and Joana Santos (SCHOLÉ).

Referenced Documents:

  • The AI4STEM Proposal with ID 1, reference 2022-1-FR01-KA220-SCH-000085611.
  • Copyright the AI4STEM Consortium 2022-1-FR01-KA220-SCH-000085611 with all rights reserved.
  • The document is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Module Introduction

  • This module explores Artificial Intelligence (AI) and its modern applications.
  • It aims to help teachers integrate AI into the classroom, exploring the interaction between AI and the Internet of Things (IoT).
  • It provides simple information about AI, its applications, and its integration with IoT.
  • The module includes examples and activities to help understand these aspects in elementary and secondary classrooms.

Glossary - Key Notions and Concepts

  • Artificial Intelligence (AI) combines computer science and datasets to enable problem-solving.
  • AI involves developing computer systems that perform tasks requiring human intelligence, like visual perception and language translation.
  • A robot is any automated machine that replaces human effort.
  • Capacity-based AI is categorized into Artificial Narrow Intelligence, Artificial General Intelligence, and Artificial Superintelligence.
  • Functionality-Based AI concerns how an AI uses its learning capabilities and interacts with its environment.
  • The AI4K12 project focuses on teaching AI in K-12 education in the US, aligning with CSTA standards for computer science.
  • IoT involves using computer tools to automate real-world processes, reducing the need for human intervention, and enables devices to transfer information over a network without human interaction.

Introduction to Artificial Intelligence (AI)

  • AI is the ability of machines to simulate human intelligence using computer programs.
  • Human-like AI focuses on algorithms/systems development performing human intelligence tasks like reasoning and problem-solving.
  • AI can learn in three ways: supervised, semi-supervised, and unsupervised.

Types of Artificial Intelligence

  • Various types of AI exist, each with its applications and challenges, contributing to problem-solving.
  • The classification of AI depends on the criteria used, primarily capacity-based and functionality-based.
  • Capacity-based AI includes:
    • Artificial Narrow Intelligence (ANI), which executes specific actions, like image recognition.
    • Artificial General Intelligence (AGI), which can learn and perform tasks like a human.
    • Artificial Superintelligence (ASI), which surpasses human intelligence.
  • Functionality-based AI types include:
    • Reactive Machines that react immediately.
    • Limited Memory that uses past data to improve performance.
    • Theory of Mind that understands emotions.
    • Self-Aware, which has a sense of self.

Task for the Classroom - AI in the Classroom

  • Teachers can show images of AI applications and discuss their uses to introduce AI concepts.
  • It could be followed up with conversation about the types of AI they can find.
  • Discuss:
    • Whether all AIs work the same way.
    • What the main differences between one another are.
  • Students should be able to discuss and understand AI, recognize different types of AI, and discuss their similarities and differences.

Application of AI in Everyday Life

  • AI is integrated into daily routines.
  • This includes facial recognition and personalized recommendations in various sectors like healthcare and education.
  • AI is used in search engines, social networks, virtual assistants, and autonomous transportation.
  • It enhances medical diagnoses, adapts educational content, and automates home systems.

Task for the Classroom - AI in Everyday Life

  • Discuss how much students rely on AI in their daily lives and whether AI has made life easier.
  • Identify how AI integrates with routines, discuss its uses, and understand its various applications.

AI and the 5 Big Ideas

  • The "Five Big Ideas" of AI, proposed by John Haugeland, is a way to summarize the key concepts.
  • The big ideas are:
    • Perception: computers perceive the world with sensors.
    • Representation & Reasoning: agents maintain representations of the world and use them for reasoning.
    • Learning: computers learn from inputs.
    • Natural Interaction: AI agents interact with humans naturally.
    • Societal Impact: AI has positive and negative effects on society.

Societal Impact in AI

  • AI significantly impacts society, from the economy to daily life.
  • It is used across industries, including healthcare, transport, education, e-commerce, and government.
  • AI enhances accessibility, improves cyber security, and raises ethical and privacy issues.

The Internet of Things and Artificial Intelligence

  • IoT and AI are interconnected, with IoT helping AI process real-world events.
  • AI enhances IoT by enabling more sophisticated responses, reducing the need for human intervention.
  • AI advancements will greatly expand IoT applications.
  • Examples include robots in manufacturing, self-driving cars, and smart thermostats.

Task for the Classroom - IoT and AI

  • Think of examples where IoT and AI are used and describe what is the role of the IoT and the role of the AI.
  • Discuss:
    • The main differences between IoT and AI.
    • Examples of applications or industries that apply IoT and AI combined.
    • The role of both IoT and AI in the execution of some interactions.

Ethics in Artificial Intelligence

  • The increasing use of AI raises ethical concerns.
  • Ethical issues include fairness, data responsibility, privacy, climate degradation, human rights, accountability, and technology misuse.
  • Potential issues of ethical issues include:
    • Invasion of privacy.
    • Hindrance of the development of social skills.

Task for the Classroom - Ethics and AI

  • Show students different school equipment and ask them to describe if they demonstrate artificial intelligence.
  • Take conversation further by asking about the benefits and drawbacks of these technologies.
  • Divide the class into smaller groups and define the positive and negative aspects.
  • Deliver safe rules while using the equipment.
  • Learning Objectives are:
    • Describe at least one example of an ethical issue pertaining to AI.
    • Create at least one guiding principle that addresses an AI ethics issue.
    • Gain conscience about the risk involved while using AI.
    • Reflecting on the positive and negative aspects of AI.

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