Title: AI for Personalized Education Speaker: Prof. Mukesh Mohania (IIIT Delhi, India) Date: 18 June 2024 Time:14:30-15:30 (updated) Venue:SB911-2 (updated) Language: English
Abstract: Online courses and learning systems have gained tremendous popularity over the last few years. While their ease of access and availability make them a very useful medium for knowledge sharing and learning, they do not keep the learners and their learning abilities in mind. The “one size fits all” approach to learning content and the question paper does not work in a large virtual classroom consisting of diverse students with different skill profiles, learning styles, aptitude and capabilities. In a traditional classroom, teachers who interact closely with students are in a position to evaluate the pace and depth of the curriculum being taught and can also suggest learning content to students not being able to cope with the general classroom teaching. Such suggestions and guidance are absent in current online learning systems. In this talk, we aim to address how AI can help in (1) making content smarter through learning content analytics and automatic content tagging, (2) generating the diverse, but semantically related, questions for evaluating the students’ knowledge, (3) assisting in short answers evaluation, and finally (4) understanding the students’ learning style/capacity through learning data analytics, thus enabling the adaptive and personalized education on Big Data platform.
講演タイトル: AI for Personalized Education 講演者: Prof. Mukesh Mohania (IIIT Delhi, India) 日時: 2024年6月18日（火） 13:30-14:3014:30-15:30 （時間変更） 場所:計算科学研究センター 国際ワークショップ室総合研究棟B 911-2ゼミ室 （場所変更） 言語: 英語
要旨:
Online courses and learning systems have gained tremendous popularity over the last few years. While their ease of access and availability make them a very useful medium for knowledge sharing and learning, they do not keep the learners and their learning abilities in mind. The “one size fits all” approach to learning content and the question paper does not work in a large virtual classroom consisting of diverse students with different skill profiles, learning styles, aptitude and capabilities. In a traditional classroom, teachers who interact closely with students are in a position to evaluate the pace and depth of the curriculum being taught and can also suggest learning content to students not being able to cope with the general classroom teaching. Such suggestions and guidance are absent in current online learning systems. In this talk, we aim to address how AI can help in (1) making content smarter through learning content analytics and automatic content tagging, (2) generating the diverse, but semantically related, questions for evaluating the students’ knowledge, (3) assisting in short answers evaluation, and finally (4) understanding the students’ learning style/capacity through learning data analytics, thus enabling the adaptive and personalized education on Big Data platform.
Brief Biography: Mukesh Mohania joined IIIT Delhi as a Professor in November 2019. He served as a Dean (Innovation, Research and Development) from July 2020-June 2023 at IIIT Delhi. Prior to joining the IIITD, he has held senior technical roles in IBM Research in India and Australia. He served as a Chief Architect of IBM Watson Education. His innovations center on AI for Education, Information (structured and unstructured data) integration, and developing complex systems and applications in these areas, particularly in Education and Financial sectors. Over the course of his career, he has led a succession of successful projects that produced technology and products in use across the industry today, as well as influential and frequently cited technical work and patents. He holds 60+ granted patents and published 120+ technical papers in International Conferences and has widely participated in Industry forums. For these accomplishments, IBM recognized him as an “IBM Distinguished Engineer” (2013), “Master Inventor” (2009), “Member of IBM Academy of Technology” (2010), “Best of IBM” (2014). He has received several IBM corporate and research level awards, such as, “Excellence in People Management”, “Outstanding Innovation Award”, “Technical Accomplishment Award”, “Leadership By Doing”, and many more. He is a founding project director of DST sponsored Technology Innovation Hub (TIH) on ‘Cognitive Computing and Social Sensing’ at IIIT Delhi and received Rs100Cr (USD12M) for 2021-2025. He has held several visible positions, like ACM Distinguished Scientist (2011-), DASFAA Industrial Track co-chair (2024), VLDB Conference Organizing Chair (2016), DASFAA General- co-chair (2022), ER PC co-chair (2022), ACM India Vice-President (2015-17), ACM Distinguished Service Award Committee chair (2017-2018), Adjunct Professors/Industrial R&D board at various top universities in India and Australia, and many more, and has received IEEE Meritorious Service Award and ACM Outstanding Service Award.
We are delighted to invite you to an insightful and forward-thinking urban webinar scheduled for the 12th of June (Wed) 2024 from 13:00 to 16:00 EEST (19:00 to 22:00 JST). This event is brought to you by the GATE Institute, Sofia University, Bulgaria and the Center for Computational Sciences, University of Tsukuba, Japan, with the support of the Embassy of the Republic of Bulgaria in Tokyo. It will be held virtually, allowing for broad participation from urban climate scientists and experts, policymakers, researchers, students and sustainability enthusiasts worldwide.
Event Overview
Cities are at the forefront of the battle against climate change, and sustainable urban development is crucial for creating resilient communities. This webinar aims to explore the innovative strategies and best practices that can help shape the cities of tomorrow.
Date and Venue
Date: 12th of June (Wed) 2024, 13:00 to 16:00 EEST (19:00 to 22:00 JST) Venue: online
Some of the Key Topics
Urban Climate, Urban Heat Islands, Thermal Environment, Green Infrastructure, Innovative Technologies, Community Engagement
Gain insights from leading experts in urban climate and resilience.
Discover practical solutions and innovative approaches to urban challenges.
Network with professionals and stakeholders in the field of urban development.
Participate in interactive discussions and Q&A sessions.
Registration
To register for the webinar, please fill out the registration form. Attendance is free, but we encourage you to secure your spot early. After registration, you will receive a link to join the webinar.
Contact Information
For more information or any inquiries, please contact us at lidia.vitanova[at]gate-ai.eu and doan.van.gb[at]u.tsukuba.ac.jp ([at]–> @)
The Center for Computational Sciences (CCS) at the University of Tsukuba has solidified a significant partnership with the Big Data for Smart Society (GATE) Institute, situated at Sofia University in Bulgaria. The agreement, signed on April 26, 2024, marks a milestone in fostering collaboration between academic institutions in advancing research and innovation in the fields of big data and artificial intelligence (AI).
GATE Institute is renowned for its collaborative efforts with government bodies, industries, and entrepreneurs to drive impactful research and innovation in the realms of big data and AI. The institute serves as a hub for foundational and applied research, as well as for promoting education in these cutting-edge domains.
The memorandum of understanding (MOU) between CCS and GATE Institute aims to facilitate joint research initiatives, promote information sharing, and encourage academic exchange. The collaboration will particularly focus on leveraging meteorology research to contribute to the development of smart cities and societies.
In continuation of the MOU signing ceremony, a hybrid seminar was conducted, providing a platform for engaging discussions among participants.
筑波大学計算科学研究センター（CCS）は、2024年4月26日、ブルガリア共和国・ソフィア大学 Big Data for Smart Society (GATE) Institute との部局間交流協定を締結しました。 GATEは、政府、産業界、起業家と協力し、社会的インパクトの高いビッグデータ・AI分野の基礎・応用研究と、イノベーション、教育を推進する拠点です。 この協定締結により、スマートシティ、スマートソサエティの構築に重要な気象分野を中心に、共同研究、情報共有、交流を促進し、社会に還元できる研究を推進します。
Center for Computational Sciences (CCS), University of Tsukuba is conducting “Computational Medical Science Project” to explore medical technology based on computational science in collaboration with medical science. One of the projects in this project, “3D Surgical Vision,” integrates scene understanding based on 3D visual information with Augmented Reality (AR) to realize a 3D surgical navigation system that enables an intuitive understanding of procedures and medical techniques. Our research aims to improve the skill of medical operations and educational effectiveness, as well as to realize a remote diagnosis and surgical operation system. https://www.ccs.tsukuba.ac.jp/eng/research-activities/computational-medical-science/
This call for applications is open to researchers who are willing to conduct the above-mentioned research in Computational Medical Science. Especially, We are looking for a person who is willing to promote research activities in collaboration with the field of medicine after starting the position.
Center for Computational Sciences (CCS), University of Tsukuba in Japan, and Big Data for Smart Society Institute (GATE), Sofia University in Bulgaria will conclude a memorandum of understanding (MOU). A signing ceremony and workshop will be held on the following schedule.
Date：26th April, 2024（Fri） 13:00-17:00 Venue：CCS Workshop Room and online
Time
Japan
Bulgaria
12:45 – 13:00
06:45 – 07:00
Registration
13:05 – 13:10
07:05 – 07:10
Welcomed remarks CCS
Prof. Taisuke BOKU
Welcomed remarks GATE
Prof. Sylvia ILIEVA
Welcomed remarks CCS
Prof. Hiroyuki KUSAKA
Welcomed remarks GATE
Prof. Desislava PETROVA-ANTONOVA
13:10 – 13:15
07:10 – 07:15
Ceremony for signing the MoU
Prof. BOKU and Prof. ILIEVA
13:15 – 13:25
07:20 – 07:25
Photo and memorial time
13:25 – 13:30
07:25 – 07:30
Closing the Ceremony
Chair: Asst. Prof. Quang Van DOAN
13:30 – 14:00
07:30 – 08:00
Tour visit of CCS 1
Workshop Part1 Chair: Dr. Vitanova (GATE)
14:00 – 14:05
08:00 – 08:05
Open the workshop
Chair: Asst. Prof. Quang Van DOAN
14:05 – 14:25
08:05 – 08:25
CCS introduction
Prof. Taisuke BOKU
14:25 – 14:45
08:25 – 08:45
Big Data for Smart Society (GATE) Institute: Challenges and achievements
Prof. Sylvia ILIEVA
14:45 – 15:05
08:45 – 09:05
Introduction of Geoenvironment group at CCS
Prof. Hiroyuki KUSAKA
15:05 – 15:15
09:05 – 09:15
Break
Workshop Part2 Chair: Prof. Hiroyuki KUSAKA (CCS)
15:15 – 15:35
09:15 – 09:35
Urban Climate Change Prediction
Asst. Prof. Quang Van DOAN
15:35 – 15:55
09:35 – 09:55
Urban digital twin: Challenges and use cases of Sofia city
![[Webinar] Urban Futures: Navigating the Path to Sustainable and Resilient Cities](https://www.ccs.tsukuba.ac.jp/wp-content/uploads/sites/14/2024/06/fc71e08f105abf5763dc871ee82ccfac-825x510.png)
