2021 4th International Conference on Future Learning (ICFL 2021)

Conference / Summit (onsite)
Education Management

Address: Tokyo, Tokyo, Japan
Date: 17 to 19 Dec '21

Visit Event Website


Publication: 
Accepted papers of ICFL 2021 will be published into one of the following Journals based on the paper topic:

-International Journal of Information and Education Technology (IJIET, ISSN: 2010-3689)  
Abstracting/ Indexing:  Scopus (Since 2019), INSPEC (IET), UGC care, EBSCO, Electronic Journals Library, Google Scholar, Crossref, etc.

-International Journal of Learning and Teaching (IJLT, ISSN: 2377-2891)    
Abstracting/Indexing:  Google Scholar; Crossref, etc.

Conference Schedule: 

Day 1 - Friday - December 17, 2021
10:00-17:00 | Onsite Registration & Conference Materials Collection
14:00-17:00 | Committee Conference

Day 2 - Saturday - December 18, 2021
09:00 - 12:00 | Opening Remark & Keynote Speeches
12:00 - 13:30 | Lunch
13:30 - 18:00 | Oral Sessions & Poster Sessions
18:00 - 19:30 | Award Ceremony & Dinner Banquet

Day 3 - Sunday - December 19, 2021
09:00 - 11:00 | Campus Tour
13:00 - 18:00 | City Tour

Contact:
Conference secretary: Ms. Luna Wu
Email: icfl@iacsit.net
Tel: +86-18000547208

Will robots be the teachers of the future? The general consensus is that technology will never fully replace teachers in the classroom. However, with the rapid advancements being made in artificial intelligence (AI) and the groundbreaking research being conducted in this area, learning for both children and adults is set to undergo nothing short of a revolution. The Future of Learning is a comprehensive and contemporary examination of the maturity of digital teaching and learning. This is an invaluable resource from administration to classroom providing new insight into innovation in the education technology practice.

2021 4th International Conference on Future Learning (ICFL 2021) will be held in Tokyo, Japan during December 17-19, 2021. It aims to be the premier international forum for researchers, practitioners and industry specialists to discuss and explore the latest trends, innovations, and research that could fundamentally alter teaching and learning

ICFL 2021 will feature invited speeches, paper presentations and social networking event. It welcomes submission of abstracts and research papers concerning any branch of Future Learning and participation of anyone who are interested in the related fields. Abstracts and papers submitted to ICFL 2021 will be subject to a double-blind peer review. Participants with no submission could join the conference by registering online

Papers describing original work are invited in any of the areas listed below. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome.

Topics of interest for submission include, but are not limited to:

  • Adaptivity in Learning Systems
  • Advanced Uses of Multimedia and Hypermedia
  • Architecture of Context Aware Learning Technology Systems
  • Artificial Intelligence Tools for Contextual Learning
  • Building Learning Communities
  • Concretizing Technologies (e.g. Robotics) in Learning
  • Educational Modelling Languages / Learning Design
  • Educational Paradigms
  • Evolution in Teacher Roles through Technology
  • Information Retrieval and Visualization Methods for Learning
  • Instructional Design Theories
  • Interactive Learning Systems
  • Learning Objects for Personalized Learning
  • Media for Learning in Multicultural Settings
  • Metadata for Learning Resources
  • Mobile Learning Applications
  • Participatory Simulations
  • Pedagogical and Organizational Frameworks
  • Peer-to-Peer Learning Applications
  • Social Software for Collaborative Learning at a Distance
  • Socially Intelligent Agents
  • Technology-Facilitated Learning in Complex Domains
  • Technologies for Advanced Teacher Training
  • Virtual Spaces for Learning Communities

Will robots be the teachers of the future? The general consensus is that technology will never fully replace teachers in the classroom. However, with the rapid advancements being made in artificial intelligence (AI) and the groundbreaking research being conducted in this area, learning for both children and adults is set to undergo nothing short of a revolution. The Future of Learning is a comprehensive and contemporary examination of the maturity of digital teaching and learning. This is an invaluable resource from administration to classroom providing new insight into innovation in the education technology practice.

2021 4th International Conference on Future Learning (ICFL 2021) will be held in Tokyo, Japan during December 17-19, 2021. It aims to be the premier international forum for researchers, practitioners and industry specialists to discuss and explore the latest trends, innovations, and research that could fundamentally alter teaching and learning

ICFL 2021 will feature invited speeches, paper presentations and social networking event. It welcomes submission of abstracts and research papers concerning any branch of Future Learning and participation of anyone who are interested in the related fields. Abstracts and papers submitted to ICFL 2021 will be subject to a double-blind peer review. Participants with no submission could join the conference by registering online

Papers describing original work are invited in any of the areas listed below. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome.

Topics of interest for submission include, but are not limited to:

  • Adaptivity in Learning Systems
  • Advanced Uses of Multimedia and Hypermedia
  • Architecture of Context Aware Learning Technology Systems
  • Artificial Intelligence Tools for Contextual Learning
  • Building Learning Communities
  • Concretizing Technologies (e.g. Robotics) in Learning
  • Educational Modelling Languages / Learning Design
  • Educational Paradigms
  • Evolution in Teacher Roles through Technology
  • Information Retrieval and Visualization Methods for Learning
  • Instructional Design Theories
  • Interactive Learning Systems
  • Learning Objects for Personalized Learning
  • Media for Learning in Multicultural Settings
  • Metadata for Learning Resources
  • Mobile Learning Applications
  • Participatory Simulations
  • Pedagogical and Organizational Frameworks
  • Peer-to-Peer Learning Applications
  • Social Software for Collaborative Learning at a Distance
  • Socially Intelligent Agents
  • Technology-Facilitated Learning in Complex Domains
  • Technologies for Advanced Teacher Training
  • Virtual Spaces for Learning Communities

Prof. Mario Barajas Frutos

University of Barcelona, Spain

Prof. Marlene Scardamalia

University of Toronto, Canada

IConf

Media Partner

Prof. Mario Barajas Frutos

University of Barcelona, Spain

Prof. Marlene Scardamalia

University of Toronto, Canada

IConf

Media Partner

Venue

Tokyo

Organizer

International Association of Computer Science & Information Technology

Venue

Tokyo

Organizer

International Association of Computer Science & Information Technology

Copyright © 2021 Industry Events. All rights reserved. Site credit.