The First International workshop on 

Ethics of AIED:
Challenges and Opportunities for Achieving Learner Centricity

Organized by UNESCO MGIEP in conjunction with International Conference on Computers in Education (ICCE 2023)
at Matsue, Shimane, JAPAN
During December 4 - 5 ICCE 2023

Online Session (Zoom Meeting) Link

Time: Dec 4, 2023 09:00 AM Osaka, Sapporo, Tokyo

https://us06web.zoom.us/j/86541668145

Meeting ID: 865 4166 8145

Workshop date: December 04, 2023

Workshop Program

List of Papers

Workshop Objectives

Potential participants and papers

This workshop is intended for researchers, educators, policymakers, and other stakeholders interested in the ethical implications of AIED. Its panellists and presenters will, therefore, include experts from diverse fields like computer science, social science, moral philosophy, law, and economics; from at least two or more different countries or regions of the world.

Call for workshop paper

Researchers, educators, policymakers, and other stakeholders interested in the ethical implications of AIED are strongly encouraged to submit their work.

We solicit original research or review papers on the topics related to Ethics of AIED that include, but not limited to, following thematic areas.

Length of the Paper & Submission Guidelines

This workshop looks for Full and Short papers that follow the author guidelines of ICCE2023.

Please download the latest version of the Paper Template file in preparing your manuscript.

This workshop practices a double-blind peer-review process.

All accepted papers will be published in proceedings, which will be submitted to Elsevier for inclusion in Scopus. All papers should follow the paper format of the main conference.

Contact

Organizing Committee


Anantha Duraiappah, Director of the Mahatma Gandhi Institute of Education for Peace and Sustainable Development (MGIEP), a UNESCO Category 1 Research Institute in the Asia Pacific. Dr. Anantha Duraiappah has been the inaugural director of UNESCO MGIEP since 2014. He has played a pivotal role in developing MGIEP's AI-powered GDPR-compliant learning platform, FramerSpace, which is now being used across many countries by schools, educators, and learners. A PhD in Economics from the University of Texas. He is currently a Visiting Professor, at the Urban Institute at Kyushu University, Japan, and a former visiting Professor, at the University of Tokyo, Japan. He has previous experience of working in senior positions at the United Nations University, the United Nations Environment Programme and the International Institute for Sustainable Development.

Shitanshu Mishra, National Information Technology Officer, UNESCO MGIEP.
Shitanshu is the head of Information Technology and EdTech research and development at UNESCO MGIEP. His work includes developing and evaluating an AI-based online learning platform FramerSpace, to help learners improve their social-emotional skills. He is a PhD in Educational Technology from the Indian Institute of Technology Bombay (IITB), Mumbai and has worked with the Department of Computer Science and Engineering, Vanderbilt University, as a postdoctoral research fellow.

Ramkumar Rajendran, Assistant Professor, IDP in ET, IIT Bombay, India. Ramkumar received PhD from IITB-Monash Research Academy, IITB, India, and Monash University, Melbourne. Prior to teaching at IITB, he worked as a research scholar at Vanderbilt University USA and as an Assistant Manager at NEC Central Research Laboratory in Japan. His research interest includes Learning Analytics, Affective Computing, Educational Data Mining, Intelligent Learning environments, Self-regulated learning, MOOC Data Analytics, Natural Language Processing, and Deep Learning. He served as a Program Chair and Track Chair for International Conferences like IEEE T4E, ICALT, ICCE and SIG in LA&EDM at the APSCE.

Kshitij Sharma, Associate Professor, Norwegian University of Science and Technology, Norway.  Kshitj is an associate professor at the Computer Science department of NTNU. He received his Ph.D. in Computer Science from EPFL. His research interests include collaborative learning, multimodal learning analytics, machine learning, and statistics.

Program Committee

Ram Das, IIT Bombay, India

Nidhi Hegde, University of Alberta, Canada

Jayakrishnan Madathil, IIT Madras, India

Rwitajit Majumdar, Kyoto Univerisity, Japan

Anabil Munshi, Vanderbilt University, USA

Meera Pawar, IIT Bombay, India

Prajish Prasad, FLAME University, India

Arpan Tulsyan, UNESCO MGIEP

 

Important Dates

Submission deadline for workshop papers: August 18, 2023

Acceptance notification of workshop papers: August 30, 2023

Final camera-ready version due for workshop papers: September 15, 2023

Author registration: September 20, 2023