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Hybrid Event

21st - 22nd September 2026 | New York, USA

International Conference on Computer Science Engineering Education and Curriculum Development (ICCSECD - 26)

4

Days

4

Hrs

07

Min

02

Sec

Conference Program

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.

Why it matters

SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
Explore All Session Tracks
Track 01
Innovations in Computer Science Curriculum Design

This track focuses on the latest methodologies and frameworks for developing effective computer science curricula. Participants will explore innovative approaches to curriculum design that enhance student engagement and learning outcomes.

Track 02
Pedagogical Strategies in Software Engineering Education

This session will delve into pedagogical techniques specifically tailored for teaching software engineering concepts. Emphasis will be placed on project-based learning and collaborative approaches that foster practical skills.

Track 03
E-Learning Technologies in Computer Science Education

This track examines the integration of e-learning technologies into computer science education. Discussions will include the effectiveness of various digital platforms and tools in enhancing the learning experience.

Track 04
Learning Analytics for Improved Educational Outcomes

Participants will explore the role of learning analytics in assessing and improving educational practices in computer science. This track will highlight data-driven approaches to understanding student performance and engagement.

Track 05
Artificial Intelligence in Educational Contexts

This session will investigate the application of artificial intelligence in enhancing educational methodologies within computer science. Topics will include adaptive learning systems and AI-driven assessment tools.

Track 06
Deep Learning and Its Educational Implications

This track focuses on the pedagogical implications of deep learning technologies in computer science education. Participants will discuss how these advanced techniques can be effectively integrated into curricula.

Track 07
Feature Extraction and Anomaly Detection in Learning Systems

This session will address the significance of feature extraction and anomaly detection in the context of educational technologies. Emphasis will be placed on how these techniques can enhance personalized learning experiences.

Track 08
Assessment Methods in Computer Science Education

This track will explore innovative assessment methods that align with modern computer science curricula. Participants will discuss formative and summative assessment strategies that effectively measure student learning.

Track 09
Skill Development through Project-Based Learning

This session will highlight the importance of project-based learning in developing essential skills for computer science students. Discussions will focus on best practices for implementing projects that foster critical thinking and problem-solving.

Track 10
Computational Thinking in Engineering Education

This track will explore the integration of computational thinking into engineering education, particularly within computer science. Participants will discuss strategies for cultivating this essential skill among students.

Track 11
Digital Learning Platforms and Their Impact on Education

This session will investigate the effectiveness of various digital learning platforms in delivering computer science education. Participants will analyze case studies that demonstrate the impact of these platforms on student learning outcomes.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.