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Minds and Machines: Cognitive Science, Artificial Intelligence and Education

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Event date: Monday, 10 February 2020 09:00 am - Friday, 14 February 2020 05:00 pm
Place: Université du Luxembourg, Belval campus
Learning Centre

The University of Luxembourg organises a doctoral workshop to give students both conceptual knowledge and practical experience in using advanced machine learning methods applied to educational settings, domains, and datasets.

About

Learning science as an interdisciplinary subject requires integrating distinct fields and skillsets. In particular, Cognitive Science, which studies and models the human mind, and Artificial Intelligence, which seeks to generate intelligent behavior in machines, share deep theoretical and practical concerns in the domains of education and learning which make interdisciplinary research that spans these two disciplines highly relevant. First, AI is more cognitive than appears at first glance. At the heart of the current AI revolution is a massive transfer of knowledge from humans to machines, in the form of learning from human-labeled and human-structured data. Creating and curating appropriate datasets for training AI systems requires a deep understanding of human-like knowledge representations and the subtleties of converting abstract human knowledge (e.g., what concept or skill a test question assesses) into a machine readable form. Second, AI systems most often have humans as users, as in the case of adaptive learning or assessment, requiring the AI system to maintain human interpretability. Interpretable AI requires the decisions, recommendations and advice delivered to provide sensible interpretations that can be understood by various stakeholders (such as educators, researchers or students), which imposes interesting constraints on learning methodologies for autonomous systems. Finally, Cognitive Science provides proof of concept demonstrations of learned behavior that provide next-generation targets for what AI might achieve. In this workshop we explore these themes through lectures, tutorials, and collaborative projects to enable students to participate in this exciting interdisciplinary research frontier.

Instructors

  • Prof. Pedro Cardoso-Leite, Dr Dominic Mussack, University Luxembourg, Cognitive Science Group
  • Dr. Siwen Guo, Prof Dr Christoph Schommer. University Luxembourg, Artificial Intelligence
  • Prof. Constantin Rothkopf, TU Darmstadt, Germany
  • Prof. Paul Schrater, University Minnesota, MN, US
Link: https://acc.uni.lu/Minds-and-Machines
Minds