Registration summary
ConferenceICETML
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICETML conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Intelligent Tutoring Systems and Adaptive Learning +
This track focuses on the development and implementation of intelligent tutoring systems that leverage machine learning to provide personalized educational experiences. Participants will explore adaptive learning methodologies that enhance student engagement and performance.
02 Predictive Analytics in Educational Settings +
This session will delve into the use of predictive analytics to forecast student performance and identify at-risk learners. Researchers will present methodologies for utilizing machine learning techniques to enhance educational outcomes.
03 Recommendation Systems for Personalized Learning +
This track examines the design and effectiveness of recommendation systems that tailor educational content to individual learner needs. Discussions will include algorithms and user modeling strategies that optimize learning pathways.
04 Learning Analytics: Insights and Innovations +
This session will highlight the latest advancements in learning analytics, focusing on how data-driven insights can inform educational practices. Participants will discuss tools and techniques for analyzing learner data to improve instructional design.
05 Supervised and Unsupervised Learning in Education +
This track will explore the applications of both supervised and unsupervised learning techniques within educational contexts. Researchers will present case studies and methodologies that demonstrate the impact of these approaches on educational technology.
06 Feature Selection and Engineering in Educational Data Mining +
This session will focus on the critical role of feature selection and engineering in the context of educational data mining. Participants will discuss techniques for identifying relevant features that enhance model performance in educational applications.
07 Deep Learning Applications in Education +
This track will investigate the transformative potential of deep learning technologies in educational settings. Presentations will cover various applications, including image recognition for educational content and natural language processing for student interactions.
08 Cognitive Modeling and Learning Pattern Recognition +
This session will explore cognitive modeling techniques that aim to understand and predict student learning behaviors. Researchers will present methodologies for recognizing learning patterns and their implications for instructional design.
09 Anomaly Detection in Educational Performance Data +
This track will address the challenges and methodologies associated with anomaly detection in educational performance metrics. Participants will discuss how identifying outliers can inform interventions and improve student outcomes.
10 Curriculum Optimization through Machine Learning +
This session will focus on leveraging machine learning techniques for curriculum optimization to enhance educational effectiveness. Discussions will include data-driven approaches to curriculum design and evaluation.
11 AI-Driven Innovations in Educational Technology +
This track will showcase cutting-edge AI-driven innovations that are reshaping educational technology. Participants will explore the implications of artificial intelligence for teaching, learning, and assessment practices.
