Conditions-Based Theory & ID
Key Principles
There are different types of learning outcomes, and each type of learning calls for different types of instruction
Instructional sequencing relies upon relationships among the various learning outcomes.
Instructional strategies should facilitate the internal processes of learning
Philosophical Emphases
Conditions-based theory is based upon an empiricist philosophy with many pragmatic applications.
There are common beliefs and values supporting the theory that may not be empirically derived.
There is an emphasis on:
goal-directed instruction
efficiency
effectiveness
process generalization
Basic Research Support
Gagne's research on cululative learning
research on prerequisite content relationships
Early Contributors
Benjamin Bloom
Robert Gagne
M. David Merrill
ID Applications:
Domains of Learning
Learning Hierarchies
Events of Instruction
Performance-Content Matrix
Generative & Supplantive Strategies
Complex Learning
Problem Solving
Motivational Design
Supporting ID Research: Studies of:
Learning hierarchies
Gagne & colleagues
Instructional events
Hannafin & colleagues
Klein & colleagues
Generative strategies
Wittrock
Designing for complex learning
van Merrienboer & colleagues
Expertise & problem solving in science & engineering
Story Problems
Jonassen & colleagues
Motivational design
Keller & colleagues
Related Concepts:
Cumulative Learning Theory
Component Display Theory
Instructional Transaction Theory
Elaboration Theory
Enterprise Scenario
Generative Learning
Problem-Based Learning
4C/ID
ARCS Motivation
ID Domains & Elements Related to Conditions-Based Theory
Learner & Learning Processes
All learning is not the same
Internal conditions of learning
Learner characteristics
affective such as motivation
background
learning strategies
mental models
prerequisite knowledge
schema
Learning & Performance Contexts
Authentic and simulated settings for complex learning and problem solving
Content Structure & Sequence
Learning Task Classifications
cognitive
affective
psychomotor
Instructional Sequences
simple to complex
Vertical and horizontal relationships among recurring and non-recurring component skills for complex learning
Problem solving includes:
structural knowledge
metacognitive skills
motivation components
Instructional and Noninstructional Strategies
External instruction conditions should match the internal learning conditions
Events of instruction
e.g., provide learning guidance
Adapt strategies to type of learning task
Primary presentation forms
generality or instance
expository or inquisitory
Secondary presentation forms
e.g., mnemonic aids
Generative strategies allow learners to construct their own meaning
Supplantive strategies provide direct instructional support
Part- versus whole-task practice
Strategies for motivation
Media & Delivery Systems
Use computer-based instruction to facilitate complex interactions between the learner and the instruction
Use simulations for problem-solving outcomes
Designers and Design Processes
Analysis
theoretical analysis of concepts
determine prerequisite relationships
Design
events of instruction
primary and secondary presentation forms
supportive and procedural information
integrative goals
part- and whole- task sequencing
motivational design
Design Tools
learning hierachies
ID Expert