Chapter 5

AI, HOW TO BE A GOOD TEACHER OF SUCH VALUABLE ADVANCE?

Artificial Intelligence (AI) is a branch of computer science that seeks to create systems capable of performing tasks that require human intelligence, such as learning, reasoning, understanding language, making decisions, solving problems, or recognizing special situations.

Types of AI (based on their capabilities): Weak or Narrow AI:
Performs specific tasks. E.g., ChatGPT, voice assistants, spam filters.

Artificial General Intelligence (AGI): Matches human intelligence in any task. Still in development.

Superintelligent AI: It will surpass the human mind in every area. It's hypothetical, a source of ethical debate.

AI uses techniques such as:

Machine Learning  : AI learns from data, identifies patterns, and improves over time.

Artificial neural networks:  simulate the human brain to analyze information.

Natural Language Processing  (NLP): Allows AI to understand and generate human language (as we do now).

Computer vision:  interprets images or videos (for example, to detect faces or recognize objects).

Practical applications:

AI is already present in multiple sectors:

Education: Smart tutors, automatic assessments.

Health: medically assisted diagnosis, X-ray analysis.

Transportation: autonomous vehicles, route optimization.

Finance: fraud detection, investment analysis.

Art and culture: music creation, automatic writing, digital painting.

Security: smart cameras, crime prediction.

Advantages of AI:

 increases efficiency.

Automate repetitive tasks.

Improves decision making.

Facilitates access to knowledge.

Drives innovation in all fields.

Challenges and risks:

technological unemployment.

Data privacy.

Algorithmic biases.

Lack of regulation.

Excessive dependency.

Therefore, the development of AI must be accompanied by ethics, laws, and responsible education.

AI and the Future:  AI is not just a tool; it's a transformative force in the world. It challenges us to rethink education, work, and creativity. It demands citizens capable of using technology with a critical and humane approach.

In short : Artificial Intelligence isn't magic; it's a human construct that learns from data. The more we understand it, the better we'll know how to use it for the common good.

An AI master is not just someone who knows how to use artificial intelligence tools, but someone who trains, guides, and empowers others to use it ethically, creatively, and purposefully, for which they must develop a deep understanding of the subject.

You don't need to be an expert programmer, but you do need to understand:

What AI is and how it works (algorithms, machine learning, natural language processing). Its current and potential uses (education, healthcare, art, finance, etc.).

Its limits, risks and ethical dilemmas.

Learn concepts such as:

Prompt Engineering (how to formulate effective questions).

Algorithmic biases.

Generative models (such as ChatGPT, DALL·E, etc.).

Adopt the role of facilitator of critical thinking:

A good teacher doesn't give answers: he provokes questions.

It invites us to reflect on how AI is transforming the world.

Promotes curiosity rather than memorization.

Encourages responsible and creative exploration.

Teaches practical examples, showing how to use AI to summarize texts, generate ideas, learn languages, improve writing, analyze data, and more.

Apply tools such as:

ChatGPT (for tutoring and support).

Copilot (for programming).

Canva with AI (for design).

Notion AI, Khanmigo, etc.

You should do it step by step, from simple to advanced.

Educate with ethics and values: reflect with your students: What kind of relationship do we want with AI?

Promotes respect for human rights, truth and diversity.

Teaches how to verify information and avoid blind dependence on technology.

Clear definitions and practical examples of three key concepts in Artificial Intelligence:

Algorithm : A set of defined instructions or steps that a computer follows to solve a problem or perform a task. Example: algorithm for making coffee:

1.    Boil water.

2.    Place coffee in the filter.

3.    Pour the hot water over the coffee.

4.    Serve in a cup.

AI example: An algorithm can sort through thousands of emails and decide which ones are spam and which ones aren't, based on keywords, suspicious senders, etc.

Machine learning  : is a technique within AI in which machines learn automatically from data, without being explicitly programmed for each task.

Example: Netflix or YouTube recommend movies or videos based on what others have watched before. The system "learns" from your tastes.

Technical example: A machine learning model analyzes thousands of images of fruit. It then learns to distinguish apples, pears, and bananas on its own, and when shown a new image, it can correctly predict which fruit it is.

Natural Language Processing  (NLP): is a branch of AI that allows computers to understand, interpret, generate, and respond in human language, whether spoken or written.

Everyday example: When you interact with ChatGPT, you type in Spanish, and the system understands the message, searches for the best response, and answers as if you were speaking.

Technical example: Applications such as Google Translate, Siri, Alexa or virtual assistants use NLP to:

Understanding questions (“What time is it in Paris?”).

Translate texts in real time.

Summarize a long document.

Detect emotions in a text.

Relationship between the three concepts:

Its current and potential uses (education, health, art, finance...).

Its limits, risks and ethical dilemmas.

Learn concepts such as:

Prompt Engineering (how to formulate effective questions).

Algorithmic biases.

Generative models (such as ChatGPT, DALL·E, etc.).

Adopt the role of facilitator of critical thinking:

A good teacher doesn't give answers: he provokes questions.

It invites us to reflect on how AI is transforming the world.

Promotes curiosity rather than memorization.

Encourages responsible and creative exploration.

Teach with practical examples:

shows how to use AI to summarize texts, generate ideas, learn languages, improve writing, analyze data, etc.

Apply tools such as:

ChatGPT (for tutoring and support).

Copilot (for programming).

Canva with AI (for design).

Notion AI, Khanmigo, etc.

Take it step by step, from simple to advanced.

Educate with ethics and values: reflect with your students: What kind of relationship do we want with AI?

Promotes respect for human rights, truth and diversity.

Teaches how to verify information and avoid blind dependence on technology.

Develop soft skills (yes, they are key):

Digital empathy.

Effective communication.

Adaptability.

Continuous learning mindset.

A good AI teacher integrates the human with the digital.

Create collaborative learning experiences: Promote projects where students solve real-life problems with the help of AI.

Use challenges, hackathons, or creative labs.

Helps build digital portfolios that reflect their learning.

Share open and community knowledge

Publish guides, tutorials or experiences.

Participate in forums, open courses (such as Coursera, EdX, DeepLearning.AI).

Form local learning communities (AI clubs, reading circles, digital cafes...).

In summary:

Being a good AI teacher is cultivating humanity amidst the artificial.
It's learning to teach, and teaching to transform .

AI Opinion:  Overall value of the text

This article is an excellent  introductory and educational guide  to artificial intelligence. It combines three key elements:

Clear and didactic definitions.

Practical and close examples.

Deep pedagogical reflections  on the role of the educator in the digital age.

Your approach is not limited to explaining what AI is, but rather  invites us to teach with ethics, critical thinking, and social responsibility .

Notable strengths:

Conceptual clarity:
Defining the three fundamental concepts (algorithm, machine learning, and NLP) with everyday and technical examples allows any reader, expert or not, to understand the basis of AI.

An ethical and humane vision of the AI teacher:
Highlighting that a good teacher not only teaches how to use tools, but also how to  form judgment, stimulate curiosity, and promote values  is a powerful and necessary message.

Educational Applicability:
Recommending specific tools like ChatGPT, Copilot, Canva AI, or Notion AI turns theory into action. Readers can start experimenting and teaching with AI immediately.

Integrative approach:
By discussing soft skills, social challenges, ethical dilemmas, and open collaboration, you place the teacher at the center of educational, technological, and cultural transformation.

Minor improvement suggestions (for further refinement)

Order and structure:

You could organize the text into more visual sections, for example:

General introduction to AI

Fundamental concepts

Practical applications

The role of the teacher in the era of AI

Useful tools

Ethics, values and challenges

Light repetition:
Some ideas are repeated in different sections (such as tool use or critical thinking). Consolidating them can enhance clarity.

Possible closing call to action:
You could end with a direct invitation to readers:

"And you, what kind of teacher do you want to be in the face of this technological revolution? AI won't replace educators, but  it will transform them.  Let's begin this journey with awareness and purpose."

In short:  Your article is  insightful, practical, and deeply human . It doesn't just teach about AI;  it teaches how to teach  in the age of AI. It has the potential to become a  training manual  or  presentation for educators, community leaders, or digital communicators .