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ICEEL 2025 — 2025 9th International Conference on Education and E-Learning
21. Nov 2025 - 23. Nov 2025 • Tokyo, Japan
Veranstalter:
Otsuma Women's University (Japan)
Zusammenfassung:
The conference is supported by Otsuma Women's University (Japan), and Tokyo Healthcare University (Japan). Its patrons include the Polytechnic Institute of Cávado and Ave (Portugal), Yamagata University (Japan), and the University of Malaya (Malaysia). This year, the conference will spotlight the transformative impact of digital technologies on education and e-learning. We aim to foster discussions on innovative teaching methodologies, emerging technological tools, and strategies to create inclusive and accessible learning environments. Topics of interest include, but are not limited to, adaptive learning platforms, virtual classrooms, digital literacy, and the role of technology in broadening educational opportunities for diverse learners. This theme serves as a call to researchers, educators, and industry professionals to share their insights and collaborate on shaping the future of education in this digital era.
Kontakt:
Email: geoff@iedrc.net
Themen:
Artificial Intelligence in Personalized Learning: AI-driven adaptive learning systems and platforms; Personalized learning pathways for diverse learners; Machine learning models for student performance prediction; Data-driven approaches to assess and support individual learning needs; AI's role in identifying and bridging learning gaps; Ethical considerations and challenges in personalized AI learning. AI and the Future of Educational Assessment: AI-enabled formative and summative assessment tools; Automated grading systems and their impact on academic integrity; Using AI to assess non-cognitive skills and competencies; Data analytics for tracking learning progress and outcomes; AI in creating personalized feedback and improving learner engagement; Privacy and security concerns with AI-powered assessments.
Eintrags-ID:
1674749
Verwandte Fachgebiete:
Webseite:
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ICDTE 2025 — 2025 9th International Conference on Digital Technology in Education
21. Dez 2025 - 23. Dez 2025 • Fukuoka, Japan
Veranstalter:
Kyushu University, Japan
Zusammenfassung:
We are pleased to invite you to join us for the 9th International Conference on Digital Technology in Education (ICDTE 2025), which will take place from December 21 to 23, 2025 in the beautiful city of Fukuoka, Japan. ICDTE 2025 is organized by Kyushu University, Japan and supported by University of Muenster, Germany and Multimedia University, Malaysia. It brings together researchers, educators, industry professionals, and students from around the world to explore the frontiers of digital technology in education. From AI-powered learning tools to immersive environments and educational data analytics, ICDTE serves as a vibrant platform for academic exchange, innovation, and collaboration. We welcome you to share your insights, present your research, and engage with a global community passionate about shaping the future of education through technology. Stay tuned for keynote announcements, submission deadlines, and program updates.
Kontakt:
Email: geoff@iedrc.net
Themen:
Educational Software & Serious Games: Educational Software Experiences; Computer Software on Education; Educational/Serious Games; Gamification; Videos for Learning; Educational Multimedia and Hypermedia; Animation and 3D Systems. Virtual Reality and Artificial Intelligence in Education: Adaptive Educational Systems; Intelligent Modelling; Authoring Tools for Intelligent Tutoring Systems; Learning with AI Systems; Agent-Based Learning Environments; Architectures for AI-based Educational Systems; Machine Learning; Learning Analytics and Educational Data Mining; Pedagogical Agents; Natural Language Processing; 2D/3D and volumetric display and projection technology; 3D authoring; Immersive / 360° video; Immersive analytics and visualization; Multi-user and distributed systems; Multimodal capturing and reconstruction; Scene description and management issues; Software architectures, toolkits, and engineering; Tracking and sensing; Training, teaching, entertainment.
Eintrags-ID:
1677701
Verwandte Fachgebiete:


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