Approaches to the Use of AI in Learning
Date Thursday, Dec 6 Time – Room Charlottenburg I
What is hype and what is the reality of artificial intelligence (AI) in digital learning? Furthermore, what is the state of play? One contention is that AI can be used to enhance learning, augmenting human intelligence to help us learn better and faster. Another claim is that by taking advantage of the technological revolution, children will be able to find their own individual ways of learning and generating creativity; the victim is rote memorisation. A third view, perhaps a bit more conservative, seeks a learning model that combines online educational content with immersive, real-world teaching, while simultaneously creating an intelligent AI-based learning tool that will help students achieve their potential. Join the fray.
Research Assistant, TU Berlin, Germany
The Future of AI in Education: Addressing Bias and Inclusion
Gunay Kazimzade is working at the Weizenbaum Institute for the Networked Society (the German Internet Institute) which is run by Technische Universität Berlin in cooperation with Freie Universität Berlin, Humboldt-Universität zu Berlin, Universität der Künste Berlin as well as Universität Potsdam and Fraunhofer Institute for Open Communication Systems. She is a Ph.D. student in Computer Science at TU Berlin. After Applied Mathematics and Computer Science degrees, she was involved in the education field and managed two social projects focused on women and children CS education. Trained over 3000 women and 300 children. Currently working on Research Group "Criticality of Software Systems". The main research directions: AI in education, Racial/gender biases in AI, critical perspectives of the future autonomous cars.
Center for Curriculum Redesign, UK
Learning with Artificial Intelligence
Dr Wayne Holmes is an Assistant Professor in Learning Sciences and Innovation, at The Open University (UK), a Research Expert at The Center for Curriculum Redesign (US), and a Visiting Professor at Universidade Federal de Alagoas (Brazil). He has been involved in education and education research for more than 25 years, receiving his PhD in Learning and Technology from the University of Oxford. His research is focused on the application of Artificial Intelligence in education (AIED): how might we use the potential of AI to both enhance and further understand learning, and how do we ensure that the application of AI in education is socially responsible? He led the international workshop Ethics in AIED: Who Cares?, co-authored Artificial Intelligence in Education: Promises and Implications for Teaching and Learning and Personalisiertes Lernen mit digitalen Medien: Ein roter Faden, and has been invited to speak about AIED to audiences in Brazil, China, Germany, Israel, Spain, and the US.
Marie Lou Papazian
TUMO Center for Creative Technologies, Armenia
Inventing the Future of Learning: Coaching, Personalisation and AI
As TUMO’s founding CEO, Marie Lou Papazian developed the center’s educational program and led the design and construction of its flagship facility. Prior to TUMO, Marie Lou led the Education for Development Foundation linking Armenian students to their global peers through online educational activities. Previously, she was lead construction manager on prominent high-rise buildings in New York City. Marie Lou holds a Master’s Degree in Computing in Education from the Teachers College at Columbia University, as well as degrees in engineering and construction management.
Area9 Lyceum, Denmark
Artificial Intelligence and Learning: Myths, Limits and the Real Opportunities
CLAUS BIERMANN, MD MPH
EXECUTIVE VICE PRESIDENT - GLOBAL HEALTHCARE EDUCATION
- Dr. Biermann oversees all of Area9’s healthcare partnerships, including NEJM Group and future partners. He also leads
Area9’s efforts to partner with industry both for internal and external stakeholder medical education.
- Dr. Biermann has a background as MD from Medical University Bochum in Germany and MPH from University Bielefeld in
Germany. He was trained in transplantations and abdominal surgery as well as urology at several international universities.
- He has been a Research Fellow for Experimental Research and very active in Outcomes & Value-based Health Care
Research including publications.
- He worked as a global Executive cross sectoral in all major Health Care industries; Pharma, MedTech, IT and Services.
Communication design, Texas State University, USA
Alvaro Soto is director of product management at Figure Eight, the essential human-in-the-loop AI platform for data science and machine learning teams. Before joining Figure Eight, Alvaro was the Design Principal for IBM Watson where he led the design for products such as Watson Assistant and Watson Studio.
Alvaro teaches entrepreneurship, futurism, and AI strategy at Texas State University. He speaks regularly about what it takes to build great AI products and the role of design in making AI possible for everyone.