Important Dates
Early Bird Registration :1st October 2026
Paper Submission Deadline :6th October 2026
Last Date of Registration : 16th October 2026
Date of Conference : 31st - 1st November 2026
Conference Session Tracks
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.
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
Track 01
Advancements in Education Analytics
This track focuses on the latest methodologies and technologies in education analytics. Researchers are invited to present their findings on how data-driven approaches can enhance educational outcomes.
Track 02
Predictive Modeling in Learning Systems
This session will explore the application of predictive modeling techniques to forecast student performance and engagement. Contributions should highlight innovative models that inform decision-making in educational contexts.
Track 03
Adaptive Learning Technologies
This track examines the role of adaptive learning systems in personalizing educational experiences. Papers should discuss the integration of data analytics to tailor learning pathways for diverse student populations.
Track 04
Data Visualization for Educational Insights
This session invites contributions that utilize data visualization techniques to communicate complex educational data effectively. The focus will be on how visual tools can enhance understanding and drive actionable insights in learning environments.
Track 05
Machine Learning Applications in Education
This track will highlight the use of machine learning algorithms to analyze educational data. Researchers are encouraged to share case studies that demonstrate the impact of these technologies on learning outcomes.
Track 06
Assessment Analytics and Student Performance
This session will delve into the analytics of assessment data to improve student performance metrics. Papers should explore innovative approaches to evaluating and enhancing assessment strategies through data analysis.
Track 07
Curriculum Optimization through Data-Driven Insights
This track focuses on the optimization of educational curricula using data analytics. Contributions should address how data can inform curriculum design and improve alignment with student needs and industry demands.
Track 08
Learning Management Systems and Data Integration
This session examines the integration of data analytics within Learning Management Systems (LMS). Researchers are invited to discuss the implications of data integration for enhancing user experience and educational effectiveness.
Track 09
E-Learning and Student Engagement Analytics
This track will explore the analytics of student engagement in e-learning environments. Papers should focus on strategies to measure and enhance engagement through data-driven insights.
Track 10
Cloud Analytics in Education Technology
This session will investigate the role of cloud analytics in transforming education technology. Contributions should highlight how cloud-based solutions can facilitate data analysis and improve educational practices.
Track 11
Knowledge Management in Educational Institutions
This track focuses on the strategies for effective knowledge management within educational institutions. Researchers are encouraged to present frameworks that leverage data analytics to enhance knowledge sharing and collaboration.