Prof. Jeffrey D. Ullman
Turing Laureate, Stanford W. Ascherman Professor of Computer Science (Emeritus), Stanford University
Bio: Jeff Ullman is the Stanford W. Ascherman Professor of Engineering (Emeritus) in the Department of Computer Science at Stanford and CEO of Gradiance Corp. He received the B.S. degree from Columbia University in 1963 and the PhD from Princeton in 1966. Prior to his appointment at Stanford in 1979, he was a member of the technical staff of Bell Laboratories from 1966-1969, and on the faculty of Princeton University between 1969 and 1979. From 1990-1994, he was chair of the Stanford Computer Science Department. Ullman was elected to the National Academy of Engineering in 1989, the American Academy of Arts and Sciences in 2012, the National Academy of Sciences in 2020, and has held Guggenheim and Einstein Fellowships. He has received the Sigmod Contributions Award (1996), the ACM Karl V. Karlstrom Outstanding Educator Award (1998), the Knuth Prize (2000), the Sigmod E. F. Codd Innovations award (2006), the IEEE von Neumann medal (2010), the NEC C&C Foundation Prize (2017), and the ACM A.M. Turing Award (2020). He is the author of 16 books, including books on database systems, data mining, compilers, automata theory, and algorithms.
Title: The Gradiance Automated Homework System
Abstract: We shall describe a free automated homework system and in particular the way it tries to combat cheating and its method for giving guidance as well as assessment. Central to this effort is the idea of a “root question,” which is a way of phrasing multiple-choice questions in a way that enables students with incorrect answers to be given advice and then take the same homework again, without eventually discovering the correct answers by process of elimination.
Schedule: 3 PM; July 11, 2023 [Tuesday]
Dr. Sihem Amer-Yahia
CNRS Research Director, France
Bio: Sihem Amer-Yahia is a Silver Medal CNRS Research Director and Deputy Director of the Lab of Informatics of Grenoble. She works on exploratory data analysis and fairness in job marketplaces. Before joining CNRS, she was Principal Scientist at QCRI, Senior Scientist at Yahoo! Research and Member of Technical Staff at at&t Labs. Sihem is PC chair for SIGMOD 2023. She currently leads the Diversity, Equity and Inclusion initiative for the data management community.
Title: Towards AI-Powered Data-Informed Education
Abstract: The Covid-19 health crisis has seen an increase in the use of digital work platforms from videoconferencing systems to MOOC-type educational platforms and crowdsourcing and freelancing marketplaces. These levers for sharing knowledge and learning constitute the premises of the future of work. Educational technologies coupled with AI hold the promise of helping learners and teachers. However, they are still limited in terms of social interactions, user experience and learning opportunities. I will describe research at the intersection of data-informed recommendations and education theory and conclude with ethical considerations in building educational platforms.
Schedule: 2 PM July 12, 2023 [Wednesday]
Prof. Hiroaki Ogata
Kyoto University, Japan
Bio: Hiroaki Ogata is a full professor at the Academic Center for Computing and Media Studies, Kyoto University in Japan, director of the evidence-driven education research council, and an associate member of Science Council of Japan. His research includes Computer Supported Ubiquitous and Mobile Learning, CSCL, CALL, and Learning Analytics. He has published over 600 peer-reviewed papers including SSCI Journals and international conferences. He has received several Best Paper Awards, and gave keynote lectures.
Title: LEAF: Learning and Evidence Analytics Framework in Japan: Connecting Researchers, Practitioners and Policy-makers
Abstract: The LEAF system is a Learning and Evidence Analytics infrastructure that supports the collection, analysis, and utilization of learning logs. LEAF system consists of a Learning Management System (LMS), an eBook reader (BookRoll), Learning Record Store (LRS), and a Learning Analytics tool (Log Palette). BookRoll works as a behavior sensor and records student log data. Log Palette analyzes and visualizes the log data obtained from BookRoll and LMS. The log data can be further used for interactive lectures, reflection, recommendations, and class improvement. LEAF system has been used in over 120 educational institutions, from elementary to higher education, within eight countries and regions. Our goal is to scientifically analyze those data, support teachers and students, and transform from “education and learning based on their experiences” into “education based on data and evidence.” This talk will introduce: (1) research for supporting data-and-evidence informed education, (2) practices of data-informed education with LEAF in K12 schools and universities, and (3) policies for educational data utilization in Japan.
Schedule: 9 AM July 12, 2023 [Wednesday]
Dr. Anand Deshpande
Founder and Chairman, Persistent Systems, India
Bio: Anand Deshpande is the Founder and Chairman of Persistent Systems, a Company that he founded in 1990. Persistent Systems today employs 23,000 employees and has revenues over a Billion Dollars. Anand is also the Chairman of the Board of Governors at IIT Patna, VJTI Mumbai, and IIIT Allahabad.
Title: Challenges and Opportunities in Higher Education
Abstract: As a practitioner and a recruiter of college graduates, I will share my perspectives of the changes in the job market.and how students and colleges must explore new ways to thrive in the ever changing world.
Schedule: 9 AM July 13, 2023 [Thursday]
Prof. Ayelet Baram-Tsabari
Israel Institute of Technology, Israel
Bio: Ayelet Baram-Tsabari, a former science journalist, is a professor of science education and communication at the Faculty of Education in Science and Technology at the Technion–Israel Institute of Technology, where she heads the applied science communication research group. She was an elected member of the Israel Young Academy, and the scientific committee of the PCST Network. She is a PI of the research center on “Taking Citizen Science to School” and of the research collaboration “Public engagement with science in the era of Artificial Intelligence”. Her research program focuses on supporting public engagement with science and effective science communication. She hosts a science communication MOOC on edX and recently received the Higher Education Award for a Young Faculty Member for an exceptional contribution to society and the community in Israel from the Council of Higher Education.
Title: Communicating science for amplifying human potential in a post-truth era
Abstract: Science is a communication-driven endeavor – without it, we cannot build on previous research, collaborate with practitioners, or convince policymakers and stakeholders, such as parents and students, to use the resulting technology or its outcomes. In this talk, we’ll explore what science communication is and why it’s crucial? What do people know, and how is that related to what they do? How do we decide who to believe in? How is our worldview, the things we love and value, related to what we know? Do people need to know what they are talking about to form an opinion? And more specifically, what do people know about AI, and how can we communicate the results of AI research to diverse audiences? Finally, we will discuss what can be done so that people can make informed decisions about scientific issues. To put it more practically: what works and what doesn’t when it comes to communicating science to diverse audiences?
Schedule: 9 AM July 14, 2023 [Friday]
Prof. Cristina Conati
University of British Columbia, Canadá
The Prof. Ram Kumar Educational Data Mining Test of Time Award Talk
Bio: Dr. Conati is a Professor of Computer Science at the University of British Columbia, Vancouver, Canada. She received a M.Sc. in Computer Science at the University of Milan, as well as a M.Sc. and Ph.D. in Intelligent Systems at the University of Pittsburgh. Cristina has been researching human-centered and AI-driven personalization for over 25 years, with contributions in the areas of Intelligent Tutoring Systems, User Modeling, Affective Computing, Information Visualization and Explainable AI.
Cristina’s research has received 10 Best Paper Awards from a variety of venues She is an ACM Distinguished Member and AAAI Senior Member, and an associate editor for UMUAI (Journal of User Modeling and User Adapted Interaction), ACM Transactions on Intelligent Interactive Systems and the Journal of Artificial Intelligence in Education. She served as President of AAAC, (Association for the Advancement of Affective Computing), as well as Program or Conference Chair for several international conferences including UMAP, ACM IUI, and AI in Education.
Title: Combining unsupervised and supervised classification to build user models for exploratory learning environments (ELE)
Abstract: In this talk, I will present the approach we proposed in the paper recipient of the “The Prof. Ram Kumar Educational Data Mining Test of Time Award” for building data-driven user models that can drive real-time support to students interacting with exploratory learning environments (ELEs). I will summarize the results we obtained in the past 12 years in applying extensions of this approach to a variety of ELEs, moving then to discussing lessons learned and opportunities for future research
Schedule: 2 PM July 13, 2023 [Thursday]
D. N. Prahlad
Surya software Systems
Bio: D. N. Prahlad is a B.Sc. with honours in mathematics from Bangalore University and B.E. (Electrical technology and Electronics) from Indian Institute of Science, Bangalore.
Prahlad is the founder and Non-executive Chairperson of Surya Software Systems Private Limited, Bangalore. Surya focusses on products for financial control and risk management of financial institutions in general and banks in particular.
He serves as an advisory board member of PathShodh Healthcare, a company with leading edge nano-technology in diagnostic measurements related to diabetes. He serves as Chairperson of BioFi, a biotech startup harnessing light for health and hygiene, an initiative very relevant to today’s problems.
Prior to founding Surya, Prahlad played a key role in the rapid growth of Infosys Technologies, being associated with Infosys from its formative years. He brings with him a high level of experience of working with multiple Fortune 50 clients, creation of new services, products and strategies.
From October 2016 till April 2020, Prahlad served as in independent director on the board of Infosys Limited. He was the Chairperson of Risk and Strategy committee during his tenure on the board and served as a member of Nominations and Remunerations Committee. He served as a non-executive chairperson of Edgeverve, an Infosys subsidiary and as a board member of Infosys BPM as well.
He served as an adjunct faculty at Indian institute of Information Technology, Bangalore in its formative years.
Title: EDM – Questions and thoughts from the Industry
Schedule: 7.15 PM; July 13, 2023 [Thursday]; Banquet Hall, Hotel Radisson Blu