Lectures related to Learning Strategies: Memory Techniques and Expertise

Effective Note Taking: Laptop vs. Handwritten

Compares longhand and laptop note taking for learning, emphasizing the detrimental effects of verbatim transcription on understanding and retention.

Hippocampus Functions

Explores hippocampus synaptic plasticity, network oscillations, and neuromodulation for cognitive functions like learning and memory.

Introduction to Systems Neuroscience: Memory Systems Overview

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

Microcircuit Modeling: Hippocampus Insights

Covers the simulation of a hippocampus microcircuit for understanding brain function and behavior.

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.

Learning and Control for Complex Systems

Explores learning and control for complex systems, addressing challenges and opportunities in technology and interdisciplinary research.

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.

Orchestration Graphs: Learning with Simulations

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

Neuroscience and AI: Bridging the Gap

Explores the gap between AI and human intelligence through neuroscience-inspired models and algorithms.

Sensory learning with neural networks

Explores sensory representations, perception, memory, cognitive control, and neural networks.

Hopfield Model: Memory and Dynamics

Explores the Hopfield Model for associative memory and its dynamics.

Lesson Design: Orchestrating Learning Activities

Introduces orchestration graphs for designing effective learning activities.

Acquiring Data for Learning

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

Virtual Memory

Covers virtual memory, program relocation, memory protection, TLB, and memory hierarchy interactions.

Digital Tools Impact on Attention and Learning

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

How People Learn: Design and Learning Process

Covers observational learning, implicit pattern learning, inquiry learning, procedural learning, and working memory functions.

Attention and Cognitive Load

Explores attention, arousal, cognitive load, and learning strategies.

Memory: Forgetting Curve

Explores making memories, forgetting, and the Forgetting Curve in memory retention and learning.

Core Skills and Curricula: Strengthening Education for the Future

Emphasizes strengthening core skills and reshaping curricula for future education.

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.