🎓 AI for Learning 2026
2 Online Sessions • 60–75 minutes each

Webinar Program

Explore the full agenda for both sessions of our educational webinar series covering adaptive learning, AI-based assessments, interactive tutoring, and practical skill development tools.

📋 Series Overview

Two focused sessions designed to take participants from foundational concepts to hands-on exploration of AI-powered learning tools.

Format

Live Online Webinar

Duration

60–75 minutes per session

Cost

Completely Free

Recording

Available after each session

Session 1

November 12, 2026

19:00 EET

Session 2

November 19, 2026

19:00 EET

1 Session 1 • November 12, 2026

🧠 Adaptive Learning and AI in Education

The opening session introduces participants to the foundational principles behind AI-driven education. We begin with a practical overview of how intelligent tutoring systems emerged from decades of cognitive science research, then move into the specific mechanisms that make adaptive learning effective. Rather than presenting abstract theory, every concept is illustrated with concrete examples drawn from language acquisition, programming instruction, music theory, and visual arts training. Participants will see how AI models assess prior knowledge, identify learning gaps, and dynamically adjust content difficulty to match each individual learner's readiness level. The session also examines the role of data privacy and ethical considerations when deploying AI in educational contexts, ensuring attendees understand both the opportunities and the responsibilities involved.

Topics Covered

AI-Based Assessments

Explore how machine learning algorithms evaluate learner capabilities in real time. We examine item response theory, adaptive questioning sequences, and confidence-weighted scoring systems that go beyond traditional right-or-wrong evaluations. These assessments capture nuanced understanding and provide fine-grained data about each learner's cognitive profile, allowing tutoring systems to respond with precision rather than guesswork.

Personalized Learning Paths

Learn how algorithms construct individualized curricula based on assessment results, learner preferences, and historical performance patterns. We discuss prerequisite mapping, spaced repetition scheduling, and multi-objective optimization techniques that balance mastery, engagement, and time efficiency. Participants will see demonstrations of path generation for different skill domains.

Interactive Explanations

Understand how AI tutors generate context-sensitive explanations that adapt based on learner confusion signals. We cover natural language generation for educational contexts, worked example sequencing, Socratic questioning patterns, and scaffolding strategies that gradually remove support as competence grows. The session includes live demonstrations of explanation generation across multiple subjects.

Case Studies: Languages, Coding, Music, and Arts

Review practical examples of AI tutoring systems operating in diverse skill domains. We analyze a language learning platform that adjusts pronunciation feedback using speech recognition, a coding tutor that identifies logical errors and suggests debugging strategies, a music theory system that evaluates harmonic progressions, and an art instruction tool that provides compositional feedback. Each case study highlights domain-specific challenges and solutions.

Adaptive learning AI interface showing personalized assessment dashboard with real-time learner feedback for language coding music education
November 12, 2026 at 19:00 EET

Session 1 Highlights

  • Research-backed content from academic journals
  • Live demonstrations of adaptive AI tools
  • Multi-domain case studies and examples
  • Q&A with the invited expert
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One week later
Skill tracking dashboard showing learner progress analytics and AI-driven performance insights for multi-skill development
November 19, 2026 at 19:00 EET

Session 2 Highlights

  • Practical progress monitoring frameworks
  • Hands-on exercises with sample data
  • Digital tool walkthroughs and comparisons
  • Extended Q&A and discussion
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2 Session 2 • November 19, 2026

📊 Tracking Progress and Enhancing Skills

The second session builds on the foundations established in Session 1, shifting focus toward the measurement and enhancement of learning outcomes over time. Participants will explore how modern analytics dashboards translate raw learner data into actionable insights, enabling both self-directed students and educators to make informed decisions about study strategies. We examine long-term retention modeling, competency-based progression systems, and the emerging field of learning analytics that combines educational data mining with visualization design. This session is deliberately hands-on: attendees will work through guided exercises using sample datasets, interact with demonstration dashboards, and participate in structured discussions about applying these tools in real educational settings. The goal is to leave each participant with a clear understanding of how to evaluate, select, and interpret AI-enhanced progress tracking systems for their own learning objectives.

Topics Covered

Monitoring Learner Progress

Dive into the methods used to track skill acquisition across multiple dimensions. We cover knowledge component analysis, forgetting curves, and mastery probability estimation. Participants learn how to interpret time-series data showing learner improvement, identify plateau patterns that signal the need for strategy changes, and understand the statistical foundations behind progress scores. Real anonymized datasets are used to illustrate these concepts in practice.

Skill Tracking Dashboards

Examine the design principles behind effective learning analytics dashboards. We review visualization best practices from the field of human-computer interaction, discuss how color coding, progress bars, and competency maps communicate information at a glance, and analyze examples of dashboards used in university settings, corporate training programs, and self-directed learning platforms. Participants evaluate what makes a dashboard genuinely useful versus merely decorative.

Digital Tools for Learning

Survey the landscape of current AI-enhanced learning tools available to educators and independent learners. We categorize tools by function (assessment, content delivery, practice, feedback) and examine the evidence base supporting each category. The discussion covers open-source options, research prototypes, and established platforms, helping participants build a practical toolkit they can evaluate for their own contexts without endorsing specific commercial products.

Interactive Exercises and Q&A

Engage in structured activities designed to reinforce concepts from both sessions. Participants work through a guided analysis exercise using sample progress data, discuss findings in small groups, and present observations during a collaborative wrap-up. The extended Q&A segment allows direct interaction with the expert on topics ranging from technical implementation questions to broader discussions about the future of AI in personalized education.

👥 Who Should Attend

This webinar series is designed for a broad audience interested in the intersection of artificial intelligence and skill development.

Educators and Teachers

Teachers at any level who want to understand how AI tools can supplement their instruction and provide individualized support to students with diverse needs and backgrounds.

Students and Lifelong Learners

Anyone engaged in self-directed skill development who wants to learn evidence-based strategies for leveraging AI to accelerate their learning in languages, coding, music, or other areas.

Researchers

Academic and industry researchers studying educational technology, learning sciences, or AI applications who seek current perspectives and cross-disciplinary case examples.

Instructional Designers

Professionals who build curricula and training programs and want to integrate adaptive learning principles and AI-driven analytics into their design workflows.

EdTech Enthusiasts

Individuals interested in the evolving landscape of educational technology who want to stay informed about the latest developments in AI tutoring systems and their practical implications.

Training Managers

Corporate training professionals exploring how AI-powered assessment and progress tracking can improve employee development programs and measure learning outcomes more effectively.

✅ What to Expect

A structured, evidence-based learning experience from start to finish

1

Pre-Session Materials

Registered participants receive a preparation guide via email 48 hours before each session. This guide includes a brief overview of key concepts, suggested reading from publicly available academic papers, and a list of questions to consider. No prior technical knowledge is required, but reviewing these materials will help participants engage more deeply during the live event.

2

Expert Presentation

Each session opens with a 35-to-45-minute presentation by the invited expert. The presentation combines slides, live demonstrations, and narrated walkthroughs of AI tutoring interfaces. Visual examples and screen recordings supplement the explanation, making complex technical concepts accessible to participants from diverse educational backgrounds.

3

Interactive Exercises

Following the presentation, participants engage in guided exercises. In Session 1, this involves analyzing sample adaptive assessment outputs. In Session 2, participants work with demonstration dashboards and sample progress data. These activities are designed to be completed during the session and do not require software installation.

4

Q&A and Discussion

Each session closes with 15-to-20 minutes of open questions and discussion. Participants can submit questions through the webinar chat at any time during the session, and the most relevant questions are addressed during this segment. The expert provides thoughtful, research-informed responses and may suggest additional resources for deeper exploration.

Ready to Join Both Sessions?

Registration is free and gives you access to both live sessions, pre-session materials, recordings, and the Q&A segments. Secure your spot and explore how AI is shaping the future of personalized education.

Register for the Webinar

Free registration • No credit card required • Educational content only

Educational Disclaimer

All materials are provided for educational purposes only. Information is intended for general knowledge and is not professional or financial advice. The webinar is provided for educational purposes only. The invited expert participates as a guest contributor.