The AI-Powered Classroom: Personalized Learning Paths and Intelligent Tutoring Systems
An advanced Erasmus+ course for teachers, trainers, school leaders and educational professionals who want to transform teaching and learning through effective use of Artificial Intelligence.
Course Description
The AI-Powered Classroom: Personalized Learning Paths and Intelligent Tutoring Systems is an advanced professional development course designed for teachers, trainers, school leaders, and educational professionals who want to transform teaching and learning through the effective use of Artificial Intelligence.
As educational systems increasingly move toward personalized learning, AI offers powerful opportunities to support individual student needs, provide adaptive learning experiences, automate feedback, and enhance student engagement.
Participants will explore intelligent tutoring systems, adaptive learning platforms, AI-assisted assessment tools, personalized learning pathways, learning analytics, and student progress monitoring while addressing ethical considerations, responsible AI use, data privacy, and equity.
Methodology
This course is based on experiential learning, collaborative learning, AI tool exploration, case-study analysis, project-based learning, classroom simulations, reflective practice, peer learning, problem-solving activities, and practical workshops.
Participants will engage in hands-on activities using AI-powered educational tools, adaptive learning systems, intelligent tutoring platforms, and learning analytics dashboards. Through collaborative design activities and real-world educational scenarios, participants will develop practical solutions for personalized learning.
By the end of the course, participants will be able to:
- Understand the principles of personalized learning and adaptive education.
- Explain how intelligent tutoring systems support student learning.
- Design personalized learning pathways using AI-supported tools.
- Utilize AI technologies to differentiate instruction effectively.
- Monitor student progress using learning analytics.
- Apply AI-powered assessment and feedback strategies.
- Support diverse learning needs through adaptive learning environments.
- Evaluate AI tools based on pedagogical effectiveness and student outcomes.
- Promote student autonomy and self-directed learning.
- Address ethical, privacy, and inclusion considerations related to AI.
- Develop implementation plans for AI-powered personalized learning.
- Foster future-ready skills through technology-enhanced education.
Available Dates & Locations
5-Day Training Programme
Foundations of Personalized Learning and AI
Topics
- Introduction to AI in education.
- Understanding personalized learning models.
- Adaptive learning and student-centered education.
- Intelligent tutoring systems: concepts and applications.
- Benefits and challenges of AI-powered learning.
Tasks
- Course introduction and participant networking.
- Exploration of personalized learning examples.
- AI readiness self-assessment.
- Group discussions on future classrooms.
- Reflection activities.
Designing Personalized Learning Pathways
Topics
- Learning styles and learner profiles.
- Creating adaptive learning experiences.
- Personalization through AI-supported platforms.
- Differentiation and inclusive education.
- Student agency and self-directed learning.
Tasks
- Workshop: Building learner profiles.
- Designing personalized learning journeys.
- Collaborative planning activities.
- Peer review sessions.
- Classroom implementation discussions.
Intelligent Tutoring Systems and Learning Analytics
Topics
- Understanding intelligent tutoring systems.
- AI-driven feedback and recommendations.
- Learning analytics and student progress monitoring.
- Predictive insights for educational decision-making.
- Supporting struggling and advanced learners.
Tasks
- Hands-on exploration of tutoring systems.
- Learning analytics simulations.
- Student progress analysis activities.
- Case-study discussions.
- Development of intervention strategies.
Assessment, Feedback and Student Engagement
Topics
- AI-powered assessment tools.
- Formative and summative assessment strategies.
- Automated feedback and personalized support.
- Increasing student motivation and engagement.
- Responsible use of educational data.
Tasks
- Assessment design workshop.
- AI-generated feedback activities.
- Classroom simulations.
- Collaborative problem-solving exercises.
- Reflection and peer feedback.
Building the AI-Powered Classroom of the Future
Topics
- Strategic implementation of personalized learning.
- School-wide AI integration approaches.
- Ethical AI, privacy, and inclusion.
- Emerging technologies and future trends.
- Action planning for sustainable innovation.
Tasks
- Development of institutional implementation plans.
- Presentation of participant projects.
- International networking activities.
- Reflection and evaluation session.
- Course evaluation and certification ceremony.
Objectives of the Mobility Experience
- Strengthen educators’ understanding of AI-powered personalized learning.
- Promote student-centered and adaptive teaching approaches.
- Enhance teachers’ capacity to use intelligent tutoring systems.
- Improve learning outcomes through personalized support strategies.
- Foster inclusion through differentiated learning pathways.
- Support ethical and responsible AI use in education.
- Encourage innovation and digital transformation in schools.
- Promote international cooperation and exchange of educational practices.
Type of Certification Awarded
Register for This Course
Please complete the form below to register or request more information.