Utilizing Generative AI for Personalized Communication in Education

1000,00 د.إ

Short Course: Utilizing Generative AI for Personalized Communication in Education

Course Overview

This short course trains educators to leverage generative AI tools for personalized communication with students, parents, and colleagues. Participants will learn how to use AI to create customized messages, feedback, and communication strategies that foster better engagement and stronger relationships.

This course enables educators to use generative AI for creating meaningful, personalized communication, fostering stronger connections with students, parents, and colleagues while improving overall engagement and support.

Course Duration:

3 Days (12 hours total)

Target Audience:

Educators, academic administrators, and instructional designers interested in personalized communication using AI tools.

Category:

Description

Short Course: Utilizing Generative AI for Personalized Communication in Education

Course Overview

This short course trains educators to leverage generative AI tools for personalized communication with students, parents, and colleagues. Participants will learn how to use AI to create customized messages, feedback, and communication strategies that foster better engagement and stronger relationships.

This course enables educators to use generative AI for creating meaningful, personalized communication, fostering stronger connections with students, parents, and colleagues while improving overall engagement and support.

Course Duration:

3 Days (12 hours total)

Target Audience:

Educators, academic administrators, and instructional designers interested in personalized communication using AI tools.

Day 1: Introduction to Generative AI and Personalized Communication

Session 1: Generative AI Basics and Its Role in Communication (2 hours)

  • Topics:
    • What is generative AI and how does it work?
    • Overview of AI tools used for generating personalized messages (e.g., ChatGPT, Jasper, Copy.ai).
    • The importance of personalized communication in education: Enhancing engagement and addressing individual needs.
  • Practical Exercise:
    • Exploring AI tools to generate simple personalized emails and messages for students and parents.

Session 2: Using Generative AI for Tailored Feedback (2 hours)

  • Topics:
    • Automating feedback creation with generative AI based on individual student performance.
    • How AI can provide detailed, personalized feedback that is specific to student progress.
    • Customizing feedback for different learning styles and levels.
  • Practical Exercise:
    • Using AI to generate feedback for a sample set of student assignments.

Day 2: Automating and Scaling Personalized Communication with AI

Session 3: AI-Driven Communication for Student Support (2 hours)

  • Topics:
    • How to use AI for creating personalized support messages, reminders, and check-ins.
    • Using AI to generate personalized study plans and guidance for students.
    • Automating regular communication with students using AI tools.
  • Practical Exercise:
    • Setting up an AI-based system for automated, personalized communication (e.g., reminders, progress reports).

Session 4: Personalizing Communication with Parents and Guardians (2 hours)

  • Topics:
    • Using AI to generate individualized progress reports and updates for parents.
    • How AI can help create personalized recommendations for parent involvement.
    • Automating the generation of newsletters and other forms of parent communication.
  • Practical Exercise:
    • Drafting a personalized parent communication plan using generative AI.

Day 3: Enhancing the Quality of Communication and Addressing Challenges

Session 5: Customizing Communication for Diverse Student Needs (2 hours)

  • Topics:
    • How generative AI can adapt messages to meet diverse learning and cultural needs.
    • Ensuring inclusivity and addressing different communication preferences.
    • Using AI to personalize communication for students with disabilities or special needs.
  • Practical Exercise:
    • Creating personalized communication scenarios for diverse student populations using AI.

Session 6: Ethical Considerations and Future Trends in AI Communication (2 hours)

  • Topics:
    • Ethical issues in using AI for personalized communication (privacy, transparency, fairness).
    • Balancing AI-driven communication with human interaction.
    • Future trends in AI-driven communication and its impact on education.
  • Group Discussion:
    • Developing best practices for ethical AI use in personalized communication.

Assessment and Certification:

  • Final project: Design a communication strategy using generative AI tools that involves sending personalized messages to students, parents, or colleagues. The strategy should include automated feedback, student support, and progress updates.
  • Participants will receive a certificate upon completion of the course and submission of the final project.

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