Principles of Learning

Overview

This module covers the fundamental principles of learning and how they apply to training in bioinformatics and life sciences. Understanding these principles helps trainers create more effective learning experiences.

Learning Objectives

By the end of this module, participants will be able to:

• Explain key learning theories and their application to training
• Identify different learning styles and preferences
• Apply cognitive load theory to training design
• Recognize the importance of active learning strategies

Key Topics

Learning Theories

• Behaviorism, Cognitivism, and Constructivism
• Adult learning principles (Andragogy)
• Social learning theory

Cognitive Load

• Working memory limitations
• Intrinsic, extraneous, and germane cognitive load
• Strategies to manage cognitive load in training

Active Learning

• The learning pyramid
• Hands-on activities and practice
• Collaborative learning approaches

Resources

• Recommended readings on learning theory
• Case studies from bioinformatics training
• Practical exercises for applying learning principles

Assessment

Participants will demonstrate understanding through:

• Group discussions on learning scenarios
• Design of a short training activity applying learning principles
• Reflection on their own learning experiences

Licenses