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Related lectures (9)
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Problem-solving before Instruction: Linear Algebra for Mechanical Engineers
Explores the benefits of problem-solving before instruction in a linear algebra course for mechanical engineers at ETH Zürich.
Machine Learning for Education: Student Models and Conceptual Understanding
Explores student models, conceptual understanding prediction, and model transferability in education.
Lesson Design: Backwards Design
Explores designing lessons with a focus on learning goals and constraints.
Implementation Research Outcomes: Distinguish Efficacy from Effectiveness
Explores the difference between intervention efficacy and implementation effectiveness in research outcomes.
Conceptual Model of LCA
Introduces the conceptual model of Life Cycle Assessment, focusing on the interactions between human activities and the natural environment.
Reinforcement Learning: Basics and Applications
Covers the basics of reinforcement learning, including trial-and-error learning, Q-learning, deep RL, and applications in gaming and planning.
Exam Guidelines: Preparation and Grading
Explains exam guidelines, cognitive levels, formula preparation, and grading criteria.
Non conceptual knowledge systems
Explores the impact of Deep learning on Digital Humanities, focusing on non conceptual knowledge systems and recent advancements in AI.
Non Conceptual Knowledge Systems
Explores non conceptual knowledge systems through image translation, video synthesis, self-supervised learning challenges, and universal representations.
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