Conference Information

MLET 2027: International Conference on Modern Learning and Educational Technology

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Submission Date:
2027-03-05 Due in 139 days
Notification Date:
2027-04-05
Conference Date:
2027-08-08
Location:
Osaka, Japan
Viewed: 22   Tracked: 0   Attend: 0
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MLET
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Conference Partner Index (CP-I)

43.3 / 100
Ranked #3,688 of 5,721 conferences · Top 65%
Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50 —
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%) No data - scored at the neutral baseline of 50 —
Community attention (10%)
5
Public record completeness (15%)
35

Inputs used: Researchers who opened this page in the past 24 months: 1

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.2 · Computed 2026-10-17

Call For Papers

MLET 2027 (International Conference on Modern Learning and Educational Technology) is an academic conference held in Osaka, Japan on 2027-08-08. The paper submission deadline is 2027-03-05. Acceptance notifications are sent on 2027-04-05.

Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of modern learning and educational technology including, but not limited to Track 1: Artificial Intelligence and Data-Enhanced Learning ▪ Generative AI for content creation and tutoring ▪ AI-driven personalized and adaptive learning pathways ▪ Learning analytics, educational data mining, and dashboard design ▪ Predictive analytics for student performance and intervention ▪ Automated assessment, evaluation, and intelligent feedback systems ▪ Ethical AI, algorithmic bias, and transparency in educational tools Track 2: Immersive and Interactive Learning Environments ▪ Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) applications ▪ Educational game design, serious games, and gamification strategies ▪ Simulation, virtual labs, and digital twins for skill training ▪ Metaverse platforms, social VR, and collaborative virtual spaces for education ▪ Haptic technology and multi-sensory immersive experiences Track 3: Innovative Pedagogy and Digital Learning Design ▪ Hybrid, blended, and flexible learning models ▪ Design and impact of MOOCs, micro-credentials, and nano-degrees ▪ Technology-enhanced active learning and collaboration strategies ▪ Digital storytelling, multimedia, and interactive content creation ▪ Universal Design for Learning (UDL) and technology integration Track 4: Equity, Inclusion, and Accessible Educational Technology ▪ Assistive technologies and adaptive tools for learners with disabilities ▪ Digital solutions for neurodiverse and special needs education ▪ Culturally responsive pedagogies and multilingual learning technology ▪ Bridging the digital divide: access, affordability, and digital literacy ▪ Designing for global and cross-cultural educational contexts Track 5: Systems, Leadership, and the Future of Learning Ecosystems ▪ Next-generation Learning Management Systems (LMS) and Learning Experience Platforms (LXP) ▪ Institutional data strategy, governance, and data-informed decision-making ▪ Leadership, policy, and managing change for digital transformation ▪ Cybersecurity, privacy, and ethical data management in education ▪ Future skills, workforce preparation, and lifelong learning infrastructure Track 6: Critical Perspectives and Emerging Sociotechnical Trends ▪ Teacher roles, agency, and professional development in the AI era ▪ Critical digital literacy, media literacy, and digital citizenship ▪ Sustainability, green computing, and EdTech's environmental impact ▪ Neuroscience, cognitive science, and technology-enhanced learning ▪ Futures studies, speculative design, and horizon scanning for education
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