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Related lectures (34)

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Emphasizes how technological details can influence pedagogical choices.

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Explores gamification, ludification, and edutainment in digital education, including games-based learning and serious games.

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Covers machine learning approaches for material design, practical examples, and software tools for research.

Acquiring Data for Learning

Explores training robots through reinforcement learning and learning from demonstration, highlighting challenges in human-robot interaction and data collection.

Learning and Adaptive Control for Robots: SEDS & LPV-DS

Explores learning and adaptive control for robots through SEDS and LPV-DS, emphasizing stability, non-linear dynamics, and optimization.

Learning Chemical Reaction Networks

Explores sparse learning of chemical reaction networks from trajectory data using data-based methods and learning approaches.

Cognitive Reflection Test and Learning Methods

Explores learning methods, effect sizes, and cognitive assessment in education.

Digital Tools Impact on Attention and Learning

Examines the impact of digital tools on attention, learning, and cognitive load management.

Acquiring Data for Learning: Modern Approaches and Challenges

Explores modern approaches and challenges in acquiring data for learning optimal controllers through demonstrations and data-driven methods.

Introducing a formal framework for representing learning

Covers Hebbian learning, reinforcement learning, types of learning, neuron models, learning rules, and weight homeostasis.

Introduction: Neurobotics

Introduces Neurobotics, a study combining neuroscience, robotics, and AI to understand embodied autonomous neural systems.

Machine Learning Biases

Covers the basics of machine learning, challenges in deployment, adversarial attacks, and privacy concerns.

Orchestration Graphs: Learning with Simulations

Explores orchestration graphs for enhancing learning with simulations and the importance of consolidating knowledge through practice.

Collaborative Tools: Enhancing Teamwork and Learning

Explores the development of interactive tools and eye tracking technology to enhance teamwork and learning experiences.

Scholarship of Teaching and Learning: Transformative Research Journey

Explores the transformative potential of Scholarship of Teaching and Learning research, emphasizing reflective practice and collaborative engagement.

Brain Intelligence: Continual Learning of Representational Models

Delves into the continual learning of representational models after deployment, highlighting the limitations of current artificial neural networks.

Hopfield Model: Memory and Dynamics MOOC: Neuronal Dynamics 2- Computational Neuroscience: Neuronal Dynamics of Cognition

Explores the Hopfield Model for associative memory and its dynamics.

Introduction to Chapter 3 MOOC: The Thymio robot as a tool for discovering digital science

Covers the transition to practical programming tasks using graphical languages.

Student Evaluation of Teaching: Importance and Strategies

Explores the importance of student feedback on teaching and strategies for effective evaluations.

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Outlines the LEARN Center's collaborative approach to enhancing education through research and innovative practices.

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