Conference Chair/Eminent Speakers

  • Prof. Dr. Y. Thaweesak King Mongkuts University of Technology Thonburi, Thailand

  • Prof. MAEDA Kazuaki Full Professor CHUBU UNIVERSITY Matsumoto-cho, Aichi, JAPAN

  • Asst. Prof. Saba Yunus Mahila Mahavidyalaya P.G. College, Kanpur, India

  • Assist. Prof. Siamak Haji Yakhchali Univesity of Tehran, Iran

  • Prof. Dr. Nuno Alexandre Soares Domingues Instituto Superior de Engenharia de Lisboa and Instituto de Comunicação da NOVA (ICNOVA) FCSH-UNL (Portugal)

  • DR. HEMANTKUMAR P. BULSARA In charge - Management section, Applied Mathematics and Humanities Department, S. V. National Institute of Technology, Surat, India

  • Prof. Dr. Dinesh C. Sharma Professor & Head-Zoology, K.M. Govt. Girls P.G. College, Badalpur, UP, India

All Abstracts, Reviews, short articles, Full articles, Posters are welcomed related with any of the following research fields:

1. Pedagogical Foundations & Theory

These topics focus on the psychology and methodology of how people learn, which dictates how technology is applied.

  • Learning Theories in the Digital Age

    • Connectivism (learning through networks)

    • Constructivism vs. Instructivism

    • Cognitive Load Theory in multimedia design

  • Instructional Design Models

    • ADDIE Model (Analysis, Design, Development, Implementation, Evaluation)

    • SAM (Successive Approximation Model)

    • Backward Design (Understanding by Design)

  • Modern Teaching Methodologies

    • Flipped Classroom models

    • Gamification and Game-Based Learning (GBL)

    • Inquiry-Based Learning

    • Project-Based Learning (PBL)

2. Educational Technology (EdTech) Tools & Systems

This category covers the actual hardware and software used to facilitate education.

  • Learning Management Systems (LMS)

    • Cloud-based vs. Self-hosted platforms

    • Interoperability standards (SCORM, xAPI/Tin Can)

    • User Experience (UX) in educational interfaces

  • Emerging Disruptive Technologies

    • Artificial Intelligence (AI): Adaptive learning algorithms, automated grading, and Generative AI for lesson planning.

    • Immersive Tech: Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR).

    • Blockchain: Digital diplomas and verifiable credentials.

  • Collaboration & Communication Tools

    • Synchronous vs. Asynchronous communication platforms

    • Collaborative whiteboards and document editing

3. Data, Assessment, and Ethics

How we measure success and the moral implications of using technology in schools.

  • Educational Data Analytics

    • Learning Analytics (predicting student success/retention)

    • Big Data in institutional decision-making

    • Dashboards for student self-regulation

  • Assessment & Feedback

    • Formative vs. Summative e-assessment

    • Proctoring technology and academic integrity

    • Automated Feedback Loops

  • Ethics and Digital Citizenship

    • Data privacy and student surveillance (GDPR/FERPA compliance)

    • Algorithmic bias in educational AI

    • The "Digital Divide" (equity in hardware and internet access)

4. Professional Development & Policy

The human and institutional side of the technology shift.

  • Teacher Digital Literacy

    • TPACK Framework (Technological Pedagogical Content Knowledge)

    • SAMR Model (Substitution, Augmentation, Modification, Redefinition)

    • Continuous Professional Development (CPD) in tech

  • Institutional Strategy

    • Bring Your Own Device (BYOD) policies

    • Hybrid and Blended learning strategies

    • Open Educational Resources (OER) and the "Creative Commons" movement