New Year Conference 2026
2025-12-23 23:26:25

Digital Knowledge's New Year Conference 2026: AI's Impact on Education Training

Digital Knowledge New Year Conference 2026



On January 23, 2026, Digital Knowledge, Japan's first e-learning specialized solution company, will host its New Year Conference in Tokyo. Established in 1995 and celebrating its 30th anniversary, the conference aims to investigate the current state of AI in education and training, particularly in light of advancements in generative AI.

The educational training sector is undergoing a significant transformation due to the rapid evolution of generative AI. This conference will break down how AI has shifted from conceptual and verification phases to practical implementation and operational strategies in educational settings. No longer is AI simply a tool for automating and streamlining material creation; it now plays a crucial role in quality control, multilingual support, and the personal tailoring of educational resources to meet the unique needs of individual learners.

The Concept of 'Teaching Material AI Roadmap'


This conference will focus on the idea of 'Teaching Material AI', which supports all stages of educational content from planning and production to operation and evaluation. The primary theme will be the 'Teaching Material AI Roadmap', which addresses the question: how can we leverage AI to evolve educational materials? Through this theme, various multifaceted perspectives regarding AI’s role in shaping educational training will be shared and discussed.

Building on the Success of the Autumn Conference


This conference serves as an updated version of the highly successful 'Autumn Conference' held in October 2025, which generated considerable interest within and beyond the industry. By following the key themes that gathered attention in corporate training and higher education, the New Year Conference will delve deeper into practical discussions on implementation strategies for AI in educational contexts.

Program Details Coming Soon


The conference will feature several talks concerning the latest developments in AI within educational training and anticipate future trends, all centered around the Teaching Material AI Roadmap. Updates on program specifics and speaker line-ups will be provided through Digital Knowledge's website and newsletters leading up to the event.

For those interested, registration is free, but spots are limited, with a maximum of 20 on-site participants at the Akihabara venue and 200 spots for online attendees available on a first-come, first-served basis.

Related Seminar Announcement


In parallel, a related seminar focused on 'E-learning Technology in the AI Age' is available for on-demand viewing until December 31, where insights on AI's transformative impact on e-learning will be shared. Topics covered will include:
  • - AI assistance in creating educational materials efficiently
  • - Adaptive delivery and Item Response Theory (IRT) for optimal resource selection
  • - AI-generated personalized content for individualized learning experiences

The objective is to provide broad-ranging perspectives and actionable insights on how AI is reshaping not just corporate training, but also school education and educational services in general.

About Digital Knowledge


At Digital Knowledge, we are dedicated to bridging the gap in education by delivering knowledge efficiently and effectively to enhance learning environments. Our mission as Japan's pioneering e-learning specialized vendor is to facilitate the distribution of knowledge within educational institutions and corporate training departments, contributing to a better knowledge-based society. We align our vision with that of our partners in education and training sectors, leveraging IT to achieve superior educational experiences.

For more information, please visit our website at Digital Knowledge or contact us at +81-3-5846-2131.


画像1

画像2

画像3

画像4

画像5

画像6

Topics Other)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.