Lectures related to Engineering Ethics: Priming and Transfer of Learning

Introduction to Systems Neuroscience: Memory Systems Overview

Introduces systems neuroscience, focusing on neural circuits, memory systems, and course logistics.

Non-Participant Observation: Field Notes and Analysis

Emphasizes understanding end users' perspectives through non-participant observation and field notes.

Core Skills and Curricula: Strengthening Education for the Future

Emphasizes strengthening core skills and reshaping curricula for future education.

Digital Resources in Education

Explores the integration of digital resources in education to enhance learning and optimize teaching methods.

Digital Tools Impact on Attention and Learning

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

Spatial Configuration and Teaching

Explores the impact of spatial configuration on teaching interactions in classrooms, analyzing seating arrangements and teacher movements.

Collaboration in Education: The LEARN Center's Approach

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

Learning in Artificial Neural Networks

Discusses the evolution of artificial neural networks, challenges in supervised learning, and the role of innate behaviors in shaping behavior.

Key Concepts in Lecture: An Overview

Presents a structured approach to discussing key concepts and emphasizes the importance of each point for comprehensive understanding.

Abstraction in Education

Delves into levels of generalization in learning activities and the importance of transferring knowledge.

Educational Videos: Lessons, Research, and Best Practices

Delves into lessons, research, and best practices for educational videos.

Future of Engineering Education: Challenges and Opportunities

Discusses the future of engineering education in Switzerland, focusing on challenges, opportunities, and the integration of technology in teaching.

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.

ChatGPT in Robotics Education: Impact on Student Learning

Examines the effects of ChatGPT on student performance and learning in robotics courses, revealing insights into its usage and impact on educational outcomes.

Futuring Education: Strategies for Growth and Development

Covers the future of education at ETH Zürich, focusing on student growth, industry demands, and innovative teaching strategies.

Programming for Engineers: Overview and Interactive Quiz

Covers programming concepts for engineers, including interactive quizzes and practical applications to enhance learning and engagement.

Work-Integrated Learning and T-Shaped Communities

Explores work-integrated learning and T-shaped communities, emphasizing the scholarship of teaching and learning for holistic student development.

Multimodal Analytics: Human-Robot Interaction and Learning Processes

Delves into Human-Robot Interaction, student engagement, and learning analytics using multimodal data to enhance educational processes.

Gamification in Education: A Literature Review

Presents a literature review on gamification in education, exploring its evolution, potential benefits, and negative effects on learners.

Compliant Control for Robots: Impedance and Variable Stiffness

Explores compliant control for robots through impedance and variable stiffness, enabling safe and adaptive interactions with the environment.