Instruction Design Course

This would be a one month course, 1 hour class 5 times a week. Tutor and student would sync up on the available days.

1. Learning Theories

Foundation for how people learn and how instruction should be designed.

• Behaviorism — learning through reinforcement and observable behavior

• Cognitivism — mental processes like memory, attention, and problem-solving

• Constructivism — learners build knowledge through experience

• Social learning theory — learning through observation and interaction

• Adult learning theory (Andragogy)

2. Instructional Design Models

Frameworks that guide the design process.

• ADDIE Model (Analyze, Design, Develop, Implement, Evaluate)

• SAM (Successive Approximation Model)

• Dick & Carey Model

• Kemp Design Model

• Rapid prototyping approaches

3. Needs Analysis & Learner Analysis

Understanding what to teach and who the learners are.

• Performance gap analysis

• Audience characteristics

• Prior knowledge assessment

• Learning context analysis

• Task analysis

4. Learning Objectives & Outcomes

Defining what learners should achieve.

• Writing measurable objectives

• Bloom’s Taxonomy (cognitive levels)

• Competency-based outcomes

• Alignment of objectives with assessment

5. Instructional Strategies

How learning is structured and delivered.

• Lectures and demonstrations

• Problem-based learning

• Collaborative learning

• Inquiry-based learning

• Storytelling and scenario-based learning

• Active learning techniques

6. Content Design & Organization

Structuring learning materials effectively.

• Sequencing content

• Chunking information

• Scaffolding learning

• Concept mapping

• Curriculum design

7. Media & Technology Integration

Using tools to support learning.

• eLearning design

• Multimedia learning principles

• Learning Management Systems (LMS)

• Interactive content

• Mobile learning

• AI-supported learning tools

8. Assessment & Evaluation

Measuring learning effectiveness.

• Formative vs. summative assessment

• Quizzes and performance tasks

• Rubrics and feedback design

• Kirkpatrick evaluation model

• Learning analytics

9. Motivation & Engagement

Keeping learners interested and involved.

• ARCS Motivation Model (Attention, Relevance, Confidence, Satisfaction)

• Gamification

• Feedback strategies

• Learner autonomy

10. Accessibility & Inclusive Design

Designing for all learners.

• Universal Design for Learning (UDL)

• Accessibility standards

• Cultural responsiveness

• Adaptive learning approaches

11. Implementation & Delivery

Putting instruction into practice.

• Instructor facilitation skills

• Online vs. face-to-face delivery

• Blended learning environments

• Training deployment

12. Evaluation & Continuous Improvement

Improving instruction over time.

• Data-driven revisions

• Pilot testing

• Iterative design cycles

• Quality assurance