UCL Learning Analytics & Technology Lab

UCLAT - LAB

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UCLAT team is part of UCL Knowledge Lab, University College London, investigating the potential of analytics, artificial intelligence and technology to support human learning. We are particularly interested in supporting students’ ability to learn how to learn and solve complex problems collaboratively. Our work aims to address the pressing social-educational challenge of preparing people for a future that will require a great deal more than the routine cognitive skills currently prized by many education systems.

Main Themes of Research

Human-AI collaboration in teaching and learning contexts.
Computational and statistical models of collaboration and regulation of learning behaviours of humans with multimodal learning analytics.
Design and use of analytics feedback interventions for reflection and regulation for effective pedagogical support, and their impact in real-world settings.
Psychological and socio-scientific challenges in the adoption of AI and analytics technologies in educational practice.

How can we design, build, and implement AI and analytics solutions providing opportunities for augmented human capabilities for learning?

Interested in our research themes? Contact us for PhD positions and collaboration opportunities! m.cukurova@ucl.ac.uk

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news

Sep 22, 2022	Prof. Michail Giannakos is visiting the lab in September 2022. He will lead a lab seminar on MMLA for the faculty. He will give a research seminar for the PhD team on “Experimental Studies in Learning Technology and Child–Computer Interaction.”
Sep 12, 2022	Seventeenth European Conference on Technology Enhanced Learning EC-TEL 2022
Jul 28, 2022	AIED 2022 in Durham

selected publications

PhysRev

Can Quantum-Mechanical Description of Physical Reality Be Considered Complete?

A. Einstein, B. Podolsky, and N. Rosen

Phys. Rev., May 1935

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In a complete theory there is an element corresponding to each element of reality. A sufficient condition for the reality of a physical quantity is the possibility of predicting it with certainty, without disturbing the system. In quantum mechanics in the case of two physical quantities described by non-commuting operators, the knowledge of one precludes the knowledge of the other. Then either (1) the description of reality given by the wave function in quantum mechanics is not complete or (2) these two quantities cannot have simultaneous reality. Consideration of the problem of making predictions concerning a system on the basis of measurements made on another system that had previously interacted with it leads to the result that if (1) is false then (2) is also false. One is thus led to conclude that the description of reality as given by a wave function is not complete.