Lectures related to Cognitive Processes: Learning and Thinking

Expertise in Projects

Explores the differences between experts and novices in project management and the development of expertise through practical experiences.

Theories and Approaches to Learning

Explores learning theories in project contexts to improve learning approaches and outcomes.

Design Reflection Minute

Emphasizes the importance of cognitive effort in the learning process.

Interactive Learning Strategies: Active vs Passive Learning

Explores active and passive learning strategies, brain activity, memory, and concept maps.

Emotions in Learning: Understanding Stress, Sleep, and Self-Regulated Learning

Covers emotions, stress, sleep, and self-regulated learning, highlighting their impact on memory, cognition, and academic achievement.

Decision-Making in Systems Neuroscience: Neural Dynamics and Algorithms

Explores the neural dynamics of decision-making, focusing on algorithms and the role of dopamine in learning and behavior.

Constructivism: Piaget, Skinner, Vygotsky

Delves into Piaget, Skinner, Vygotsky's theories, schemas, and 'productive failure'.

Understanding Neuroscience

Explores the multidisciplinary nature of modern neuroscience and its impact on brain function.

Neuroscience and AI: Bridging the Gap

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

Visual Intelligence: Machines and Minds

Explores visual intelligence, covering image formation, perception, computer vision, correspondence learning, motion analysis, and recognition in videos.

Neural Taskonomy and Historical Perspectives in Visual Intelligence

Covers Neural Taskonomy, the evolution of neural networks, and historical perspectives in visual intelligence.

Exam Preparation: Case Study Analysis

Emphasizes metacognitive regulation in exam preparation through case study analysis.

Introduction to Systems Neuroscience: Memory Systems Overview

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

Data-Driven Modeling in Neuroscience: Meenakshi Khosla

By Meenakshi Khosla explores data-driven modeling in large-scale naturalistic neuroscience, focusing on brain activity representation and computational models.

Understanding Human Perception

Discusses human perception mechanisms and processes in interpreting the world.

Cognitive Reflection Test and Learning Methods

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

Origins of Religious Beliefs

Delves into the origins of religious beliefs, exploring psychological, developmental, and neuroscientific perspectives on faith.

Digital Education Technologies

Explores digital education technologies, cognitive loads, instructional design, and cognitive tasks.

Neuroscience and Machine Learning: Understanding Visual Intelligence

Explores the relationship between neuroscience and machine learning in visual intelligence.

Digital Education: Introduction

Covers the basics of digital education, including online platforms, simulations, teamwork, and virtual reality.