PARIS 4th World Conference on Studies on Education, Teaching & Technology: SETT-27

Call for papers/Topics

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

Part 1: Independent Domains

These topics represent the core foundational principles of each individual field before they are integrated with the others.

1. Education (Foundations & Systems)

  • Philosophy of Education: Perennialism, essentialism, progressivism, and reconstructionism.

  • Sociology of Education: Social stratification, educational equity, institutional roles, and cultural reproduction.

  • Educational Policy and Governance: Funding mechanisms, standardization, national vs. local curricula, and legislative frameworks.

  • Comparative Education: International schooling systems, global literacy initiatives, and cross-border educational benchmarks.

2. Teaching (Pedagogy & Practice)

  • Learning Theories: Behaviorism, cognitivism, constructivism, and humanism.

  • Instructional Design Models: The ADDIE model, Dick and Carey model, backward design, and universal design for learning.

  • Classroom Management Frameworks: Restorative practices, positive behavioral interventions, and environmental design.

  • Assessment and Evaluation: Diagnostic, formative, summative, and ipsative assessments; psychometrics and rubric design.

3. Technology (Infrastructure & Systems)

  • Information Architecture: Network infrastructure, cloud computing, database management, and data warehousing.

  • Software Engineering & Platforms: System architecture, application programming interfaces, and UI/UX design principles.

  • Data Science & Security: Cryptography, data privacy regulations, predictive modeling, and network security protocol.

  • Emerging Hardware Systems: Edge computing, wearable sensors, biometrics, and spatial computing infrastructure.

Part 2: Interrelated Domains

These topics emerge at the intersections of the three fields, showing how they influence, disrupt, and reshape each other.

4. Educational Technology (EdTech Foundations)

  • Learning Management Systems (LMS): Architecture, deployment, interoperability standards, and user adoption metrics.

  • Digital Curriculum Design: Hypermedia environments, chunking strategies for digital cognitive load, and interactive multimedia asset creation.

  • Assisitive and Adaptive Technology: Screen readers, speech-to-text engines, alternative input devices, and personalized pacing software.

5. Technology-Enhanced Teaching (Pedagogical Integration)

  • Digital Pedagogy Frameworks: The TPACK framework, the SAMR model, and the Technology Integration Matrix.

  • Alternative Learning Environments: Flipped classrooms, hybrid/hyflex teaching models, and fully asynchronous course delivery.

  • Virtual Facilitation Techniques: Synchronous engagement strategies, digital whiteboard orchestration, and managing cognitive presence online.

6. Technical Education & Digital Literacy (Teaching Technology)

  • Computer Science Education: Computational thinking, syntax vs. logic instruction, and block-based vs. text-based programming progression.

  • Digital Citizenship: Media literacy, cyberbullying prevention, digital footprint management, and intellectual property ethics.

  • Vocational Technical Training: Network administration certifications, hardware maintenance training, and systems engineering education.

7. The Ultimate Intersection (Education + Teaching + Technology)

  • Artificial Intelligence in Education (AIEd): Large language models for lesson planning, automated grading systems, and intelligent tutoring systems.

  • Learning Analytics & Educational Data Mining: Predictive modeling for student retention, engagement analytics, and institutional dashboards.

  • Immersive Learning Environments: Virtual reality simulations for medical/technical training, augmented reality field trips, and gamified learning platforms.

  • Ethics and Equity in Digital Education: The digital divide, algorithmic bias in assessment, student surveillance vs. privacy, and the commercialization of student data