21-26 May 2025 

3rd International Conference on Digital Learning and Intelligent Information Management for Societal Transformation (DLIIMST 2025)

University of Aizu, Japan

Hosted By:

DLIIMST 2025 is part of the ETLTC Conference Series

PAST PARTICIPANTS

In today's rapidly evolving world, information has become the lifeblood of our society. The abundance of data at our fingertips presents both immense opportunities and unprecedented challenges. In this context, Artificial Intelligence emerges as a game-changer, revolutionizing the way we gather, analyze, and leverage information to drive innovation, efficiency, and progress.


AI, with its remarkable ability to learn, reason, and adapt, has unleashed a new era of possibilities for information management. It empowers us to navigate the vast oceans of data, transforming them into valuable insights that shape decision-making, enhance productivity, and ultimately, reshape entire industries.


Throughout this conference, we will delve into the cutting-edge advancements in AI and explore how they are redefining the landscape of information management. We will witness the incredible strides made in natural language processing, computer vision, and machine learning, which are propelling us toward intelligent automation, predictive analytics, and personalized experiences.


We aim to gather an exceptional lineup of industry leaders, researchers, and innovators who will share their expertise, experiences, and vision with us. Together, we will gain invaluable insights into the potential of AI-driven information management in diverse domains such as healthcare, finance, logistics, and education.


Throughout this conference, the idea is to engage in lively discussions, thought-provoking panels, and interactive workshops. We will explore the ethical considerations of AI, addressing concerns around privacy, bias, and the responsible use of data. Furthermore, we will examine the societal impact of AI, delving into its potential to bridge the digital divide, foster inclusivity, and create opportunities for a brighter future.


As we embark on this collective journey, let us not forget the importance of collaboration and knowledge sharing. This conference serves as a platform for networking, forging new partnerships, and fostering a vibrant AI community that will drive innovation and address the challenges that lie ahead.

I invite you all to open your minds, embrace the possibilities, and actively participate in this transformative conference on AI and Information Management. Together, let us shape the future where AI and information seamlessly intertwine, opening new frontiers of knowledge, and empowering us to make a lasting impact on our world.

DLIIMST 2025 IS PROUDLY HOSTED BY CONAL CONFERENCE ALERTS

https://conferencealerts.com/

MAJOR THEME 1

Innovative Pedagogies and Learning Technologies

MAJOR THEME 2

Data-Driven Education and Intelligent Systems

MAJOR THEME 3

Digital Transformation and Sustainable Development in Education

 DLIIMST 2025: AI, INFORMATION & DIGITAL LEARNING FOR SOCIETAL TRANSFORMATION

 Special Tracks:   

1. Smart Learning Environments    2. Artificial Intelligence in Education     3. Data-Driven Decision-Making in Education

4. Innovative Educational Technologies   5. Digital Transformation and Smart Society    6. Intelligent Information Management

 Publication 2025:



The final decision to publish in any of the options above depends on the decision made by conference editors. The final decision is based on the quality of the paper, the content topic, and linguistic issues. 

Deadline 2025:


Meeting of Minds

Extended Abstract (500-800 words approx.) OR Full Paper Submission 



KEYNOTE Speakers

To be announced at a later date

The Venue

UNIVERSITY OF AIZU, JAPAN

The University of Aizu is a public university in Aizuwakamatsu, Fukushima Prefecture, Japan. The university is dedicated to computer engineering and English language education.

〒965-0006 Fukushima, Aizuwakamatsu, Itsukimachi Oaza Tsuruga, Kamiiawase−90, JAPAN

https://u-aizu.ac.jp/en/

 © ETLTC & ACM Chapter on eLearning & Technical Communication: All Rights Reserved.