AI in Education: Transforming Teaching and Learning

Description

This course explores the transformative potential of artificial intelligence (AI) in the field of education.

It covers foundational AI concepts, tools, and applications that educators and administrators can leverage to enhance teaching, learning, and administrative processes.

Through a mix of theoretical insights, hands-on exercises, and case studies, participants will gain a practical understanding of how to implement AI solutions in educational settings responsibly and effectively.

Target Group

Teachers, Trainers, Educators, School staff, etc.

Objectives

  • Understand AI Fundamentals: Introduce participants to the basic concepts, techniques, and terminologies of AI and its role in education;

  • Explore AI Tools and Applications: Provide an overview of AI tools and their applications in personalized learning, administrative efficiency, and student engagement;

  • Address Ethical and Practical Challenges: Discuss ethical considerations, data privacy, and practical challenges related to AI in education;

  • Develop Implementation Strategies: Equip participants with strategies for integrating AI into educational curricula and institutional workflows;

  • Promote Critical Thinking: Encourage educators to critically evaluate AI technologies and their suitability for specific educational needs.

Modules

1. Introduction to AI in Education

  • What is Artificial Intelligence?;

  • The Role of AI in Transforming Learning and Administration;

  • Current state of AI and future evolution.

2. AI Tools for the Classroom

  • Using AI for adaptive learning pathways and customized educational content;

  • Create Images, Videos, and Music with AI;

  • Assessment and Feedback Automation Tools

3. AI in teaching

  • Streamlining Aministrative Tasks with AI: Automating scheduling, record-keeping, and other routine tasks;

  • Text based AI in teaching;

  • Using AI in visual teaching.

4. Ethical and Practical Considerations

  • Ethical AI in Education: Bias, Fairness, and Transparency;

  • Data Privacy and Security in AI Implementations;

  • Challenges of Adopting AI in Diverse Educational Settings.

5. Designing AI-Enhanced Curricula

  • Frameworks for Integrating AI into Curricula;

  • Collaborative Workshop: Developing AI-Driven Lesson Plans;

  • Identifying AI tools.

6: Future of AI in Education

  • Emerging AI Trends and Their Potential Impact;

  • Lifelong Learning in the Age of AI;

  • Preparing Students for an AI-Driven World.

7. Reflection, Evaluation, and Certification

Methodology

The training course will employ an interactive, hands-on methodology that combines theoretical knowledge with practical application to ensure participants gain a comprehensive understanding of AI in education.

The sessions will include engaging lectures, group discussions, and workshops to explore AI tools and their uses in both teaching and administration. Real-world case studies and best practices will be analyzed to help participants identify effective AI strategies, while collaborative group activities will foster problem-solving and critical thinking.

Participants will engage in scenario-based exercises to address challenges such as ethical considerations, data privacy, and AI implementation in diverse educational settings. Reflection sessions will encourage participants to develop actionable plans for integrating AI in their specific educational contexts, ensuring long-term impact.

Continuous support will be offered through follow-up resources, webinars, and an online community platform to assist participants in sustaining their progress and sharing their experiences.

Learning outcomes

At the end of the training course, the participants will know:

  • Define and explain core AI concepts and how they apply to education;

  • Identify and evaluate AI tools suitable for classroom and institutional use;

  • Design AI-driven strategies to enhance personalized learning experiences;

  • Analyze the ethical implications and data privacy considerations of AI in education;

  • Develop an actionable plan to integrate AI technologies into their teaching or administrative practices.

  • Critically assess the potential benefits and challenges of AI adoption in education.

Certificates

1. A certificate of participation in the course will be given to all participants.
2. A Europass mobility certificate will be granted if the participant requests it.

Course Fee

1. The course fee is 80 Euros per participant per day.
2. This fee does not cover some expenses like accommodation or travel etc. Costs covering enrolment fees for staff mobility format ‘Courses and training’. (Source: Erasmus+ Program Guide)