International Conference on AI and Data Science for Education Technology

ICADSET

20th Oct – 21st Oct 2026 Frankfurt, Germany

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Access to All Conference Sessions

Plenary, keynote and parallel sessions

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Connect with global educators & researchers

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Official invitation letter after successful registration

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Registration Summary

Conference ICADSET

Date 20th Oct – 21st Oct 2026

Location Frankfurt, Germany

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Discount USD 0.00

Total Payable USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Adaptive Learning Systems in Education +

This track explores the integration of adaptive learning systems powered by artificial intelligence to enhance personalized education experiences. Participants will discuss the implications of these systems on student engagement and learning outcomes.

SDG 4 SDG 8

02 Personalized Learning Analytics +

Focusing on the use of data science techniques, this track examines how personalized learning analytics can inform instructional strategies. Researchers will present methodologies for analyzing student data to tailor educational experiences.

SDG 4 SDG 10

03 Intelligent Tutoring Systems +

This track delves into the design and implementation of intelligent tutoring systems that leverage machine learning algorithms. Discussions will center on their effectiveness in improving student performance and providing real-time feedback.

SDG 4 SDG 10

04 E-Learning Platforms and AI Integration +

Participants in this track will investigate the role of artificial intelligence in enhancing e-learning platforms. Topics will include user experience design, content recommendation systems, and adaptive content delivery.

SDG 4 SDG 9

05 Natural Language Processing in Education +

This track focuses on the application of natural language processing techniques in educational contexts. Researchers will share insights on automated grading, feedback generation, and enhancing student interactions.

SDG 4 SDG 10

06 Gamification in Educational Technology +

Exploring the intersection of gamification and educational technology, this track will highlight innovative approaches to engage learners. Presentations will cover the impact of game mechanics on motivation and learning outcomes.

SDG 4 SDG 8

07 Educational Data Mining Techniques +

This track emphasizes the use of educational data mining to extract meaningful insights from large datasets. Participants will discuss methodologies for predicting student success and identifying at-risk learners.

SDG 4 SDG 10

08 Learning Management Systems and AI +

Focusing on the evolution of learning management systems, this track will explore how AI technologies can enhance these platforms. Discussions will include automation of administrative tasks and personalized learning pathways.

SDG 4 SDG 10

09 Digital Classrooms and Virtual Learning Environments +

This track examines the transformation of traditional classrooms into digital and virtual learning environments through AI and data science. Participants will analyze the effectiveness of these environments in fostering collaboration and engagement.

SDG 4 SDG 8

10 Student Performance Prediction Models +

This track will showcase various predictive modeling techniques aimed at forecasting student performance. Researchers will discuss the implications of these models for early intervention and support strategies.

SDG 4 SDG 10

11 Ethical Considerations in AI for Education +

Addressing the ethical implications of deploying AI technologies in educational settings, this track will foster discussions on privacy, bias, and the responsible use of data. Participants will explore frameworks for ensuring equitable access to AI-driven educational tools.

SDG 4 SDG 10