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Ai and Education
Third-party on-site course

AI and Education A Glimpse into the Classrooms of the Future

As AI advances, its impact on education offers transformative possibilities. "AI and Education" explores how future classrooms may evolve with AI technologies, providing personalized learning paths, real-time feedback, and adaptive materials. AI can automate tasks for educators, enabling more focus on quality instruction. This course highlights AI’s potential to enhance inclusivity, ethical consid

25.08.2024
Next upcoming session:
21.07.2025 - 26.07.2025
Hungary , Prague
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Description

As AI continues to advance, its impact on education grows increasingly profound, offering transformative possibilities for future learning environments. The integration of AI in classrooms is poised to revolutionize education by providing personalized learning paths tailored to each student’s unique needs. AI-powered tools can analyze student performance in real-time, offering customized feedback and adaptive materials that cater to individual strengths, thereby enhancing engagement and learning effectiveness.

 

AI also supports educators by automating routine tasks such as grading and administration, allowing teachers to focus more on instructional quality and meaningful student interactions. AI-driven insights can help identify learning trends, predict outcomes, and implement targeted interventions to support diverse needs.

 

The future classroom may also incorporate AI-powered virtual and augmented reality (VR/AR) technologies, creating immersive learning experiences that simulate real-world scenarios. This makes learning more engaging and practical.

 

Inclusivity and accessibility are other critical areas where AI can make a significant impact, offering tools like speech-to-text, text-to-speech, and other assistive technologies to ensure equitable access for all learners.

 

As we look to the future, it's essential to consider the ethical implications of AI in education, including data privacy, algorithmic bias, and equitable access. Balancing innovation with ethical considerations will be crucial in shaping a positive and inclusive educational future. By embracing these advancements, we can prepare students for the complexities of a rapidly changing world.

 

 

Learning objectives

  • nderstanding AI Integration in Education: Participants will gain a comprehensive understanding of how artificial intelligence is integrated into educational settings, including the technologies and tools that are shaping the classrooms of the future.
  • Personalized Learning Approaches: Learners will explore how AI can provide highly personalized learning experiences tailored to individual students' needs, preferences, and learning styles, enhancing engagement and effectiveness.
  • AI-Driven Support for Educators: Participants will learn how AI can support educators by automating routine tasks, providing insights into student performance, and helping to design targeted interventions to meet diverse learning needs.
  • Exploring VR/AR Technologies: Participants will examine how virtual and augmented reality technologies, powered by AI, can create immersive learning experiences that simulate real-world scenarios and enhance interactive learning.
  • Inclusivity and Accessibility: Learners will understand how AI can improve inclusivity and accessibility in education, offering support for students with disabilities through various assistive technologies.
  • Ethical Considerations: Participants will discuss the ethical implications of AI in education, including issues related to data privacy, algorithmic bias, and ensuring equitable access to AI technologies.
  • Practical Applications: Learners will gain practical insights into how AI tools can be effectively utilized in educational settings, including hands-on experience with AI-powered educational platforms and applications.
  • Future Trends and Innovations: Participants will explore emerging trends and innovations in AI that are expected to shape the future of education, preparing them for future developments in the field.

Methodology & assessment

Day 1: Introduction to AI in Education

Overview: Introduction to AI's transformative role in education, focusing on current technologies and their classroom applications.
AI Tools Exploration: Examination of AI tools like Google Expeditions and Oculus Rift.
Workshop: Hands-on session to integrate AI into classrooms.
Panel Discussion: Insights on AI's impact on teaching and learning from experts.

Day 2: Personalized Learning with AI

Personalized Learning: How AI tailors learning experiences for individual students.
Adaptive Learning: Review of systems that enhance student engagement.
Workshop: Developing personalized learning pathways using AI.
Collaboration Tools: Using AI-enhanced tools like Microsoft Teams and Slack for group work.
Case Studies: Examples of successful AI applications in personalized learning.

Day 3: AI-Driven Support for Educators

Administrative Efficiency: AI's role in automating tasks like grading.
Data-Driven Insights: Using AI to inform teaching practices.
Workshop: Exploring AI tools that support educators.
Assessment Tools: Examples like Gradescope for automated grading.
Roundtable: Discussing challenges in AI adoption and solutions.

Day 4: Immersive Learning with VR/AR

VR/AR in Education: Introduction to the educational potential of virtual and augmented reality.
Workshop: Developing VR/AR learning modules.
Classroom Management Tools: AI tools like Classcraft for monitoring behavior.
Demonstration: Live VR/AR applications in education.

Day 5: Ethical Considerations and Future Trends

Ethics in AI: Discussion on data privacy, bias, and inclusivity.
Workshop: Developing ethical guidelines for AI in education.
Assistive Technologies: AI tools supporting students with disabilities.
Future Trends: Discussion on emerging AI innovations.
Closing: Summary, certificates, and final reflections.

Certification details

Participants receive a 30-hour certificate for attending the course.

Pricing, packages and other information

  • Price:
    480
    Euro

Additional information

  • Language:
    English
  • Target audience ISCED:
    Primary education (ISCED 1)
    Lower secondary education (ISCED 2)
    Upper secondary education (ISCED 3)
  • Target audience type:
    Teacher
    ICT Coordinator
    Teacher Educator
  • Learning time:
    25 hours or more

Upcoming sessions

  • Starting on 21.07.2025 - Ending on 26.07.2025
    Confirmed
    in

    Prague

    , Hungary

Provider

You can view this course on the provider's website Go to website

Vocational subjects

Key competences