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Objective: To present the technical vocabulary in English.

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Welcome, tech learners!

This Padlet will help you learn and practice essential vocabulary for IT professionals.
You’ll explore terms, watch videos, complete interactive tasks, and use AI tools to improve your English for Specific Purposes (ESP).

Goal: Master technical vocabulary in English using AI-enhanced resources.

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Term: Backend

Definition: The part of a computer application that handles data and logic behind the scenes.

Example: "The backend of the website processes all the user data."

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Term: Firewall
Definition: A security system that controls incoming and outgoing network traffic.
Example: "We installed a firewall to protect our company’s servers."

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Term: API (Application Programming Interface)
Definition: A set of protocols that allow different software applications to communicate.
Example: "We use the Google Maps API in our app to show locations."

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Click the link below to complete the quiz and check your understanding:
https://quizizz.com/signup/qdp?quizId=660059f6d191c63b88590162&fromPage=/admin/quiz/660059f6d191c63b88590162/integracion-de-la-inteligencia-artificial-en-la-educacion&action=use_activity&ctaSource=use_activity_cta

Tip: Review the vocabulary cards first if needed!

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Quizizz — The world’s most engaging learning platform

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Find and create gamified quizzes, lessons, presentations, and flashcards for students, employees, and everyone else. Get started for free!

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✍️ Writing activity:
Write a short description (50–80 words) in English about a tech tool you use in your daily work/studies.

Example: “I use Visual Studio Code because it is lightweight and supports many programming languages.”

🎙️ Optional: Record your explanation and upload the audio/video file here.

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💬 Use tools like Grammarly, ChatGPT, or DeepL Write to improve your writing.

Example task:
Original sentence: “I install softwares in computer.”
AI corrected: “I install software on computers.”

➕ Try improving your own paragraph using AI and reflect:
What did the AI change? Why?

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Term: Bug

Definition: An error or flaw in a computer program that causes it to produce incorrect or unexpected results.

Example: The app crashed because of a bug in the login system.

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Term: Patch

Definition: A piece of code designed to fix bugs or update a program.

Example: "The developer released a patch to fix the security issue.

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Term: Cloud Computing

Definition: The practice of using remote servers hosted on the internet to store, manage, and process data.

Example: We use cloud computing to access company files from anywhere.

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Term: Frontend

Definition: The part of a software or website that users interact with directly.

Example: "The frontend of the website was built using React.js.

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Term: Server

Definition: A computer or system that provides data, resources, or services to other computers.

Example: The server went down and users couldn’t access the platform.

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Term: API Key

Definition: A unique code used to authenticate a user, developer, or calling program to an API.

Example: You need an API key to connect your app to the payment gateway.

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This ESP course is designed for professionals working in the Information Technology (IT) sector who need to enhance their English skills for workplace communication. The main goal is to develop language competence for tasks such as writing technical documentation, participating in meetings, understanding user requirements, and delivering project presentations.

The course adopts a learner-centered approach and integrates Artificial Intelligence (AI) tools to personalize learning, promote engagement, and simulate real-life professional tasks.

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The needs analysis was conducted using a Google Forms survey. Key findings:

Learners often write emails, bug reports, and user manuals in English.

They participate in daily stand-up meetings and international calls.

Most learners struggle with pronunciation, specific IT vocabulary, and technical writing.

AI tools can support the development of these skills through adaptive feedback, personalized practice, and access to authentic contexts.

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Various AI tools were selected for their potential in addressing the specific language needs of IT professionals:

ChatGPT: Practicing interview questions, writing and refining documentation, grammar correction.

Canva + AI Magic Design: For creating infographics and slides for tech project presentations.

Text-to-Speech (TTS) and Speech-to-Text (STT): Pronunciation practice and oral fluency.

Quillbot and Grammarly AI: For improving clarity and accuracy in written communication.

DALL·E: Creating visual support for presentations of IT concepts.

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Here are examples of class activities integrating AI:
🔹 Simulated Job Interview: Students prepare with ChatGPT and record answers via VoiceThread.
🔹 Technical Documentation Drafting: Using ChatGPT to generate a first draft and Grammarly for editing.
🔹 Explaining Code in English: Students use Copilot/ChatGPT to generate code and explain it aloud (recorded).
🔹 Vocabulary Game with Quizizz: Learners use a class-made glossary and generate context-rich questions.
🔹 Pitching a Tech Idea: Canva AI helps design the pitch deck; students present it and receive peer/AI feedback.

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Assessment includes both formative and summative approaches, emphasizing real-world communication tasks.
Formative assessment:

Feedback on ChatGPT-generated content and presentations

Peer reviews and self-reflection using rubrics

Summative assessment:

Recorded mock interviews evaluated with a rubric

Final written report (manual, user story, bug report) improved with AI tools

Tools: Rubrics via Google Docs, Google Forms for peer feedback, and Quizizz for quick vocabulary checks.

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AI integration requires responsible use. This course addresses:

Privacy: Ensuring student data isn’t stored unnecessarily by tools.

Bias: AI outputs are reviewed critically to avoid misinformation or bias.

Accessibility: Tools chosen work across multiple platforms and devices.

Cost: Preference for free or freemium tools to ensure inclusion.

Learners are also trained in ethical AI use and the limits of generative tools.