Hybrid Conferencee

International Conference on AI and Data Science for Education Technology (ICADSET - 26)

21st - 22nd August 2026 | Jakarta Raya, Indonesia

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Jakarta Raya. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Jakarta Raya event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Jakarta Raya conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Jakarta Raya, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Jakarta Raya."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.