International Conference on Educational Technology with Machine Learning

ICETML

26th May – 27th May 2027 Torun, Poland

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICETML

Date 26th May – 27th May 2027

Location Torun, Poland

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

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

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.

SDG 4 SDG 8

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.

SDG 4 SDG 10

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.

SDG 4 SDG 9

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.

SDG 4 SDG 10

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.

SDG 4 SDG 9

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.

SDG 4 SDG 10

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.

SDG 4 SDG 9

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.

SDG 4 SDG 8

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.

SDG 4 SDG 10

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.

SDG 4 SDG 10

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.

SDG 4 SDG 9