Instructional Design Models Compared
Model:
ADDIE
SAM
Backward Design
Overview:
A linear, five-phase model: Analyze, Design, Develop, Implement, Evaluate.
Successive Approximation Model; iterative design with rapid prototypes.
Starts with desired learning outcomes, then determines assessments and instructions
Strengths:
Structured and thorough; great for large-scale or compliance training.
Agile and responsive; ideal for evolving content and stakeholder feedback.
Focuses on alignment, authentic assessments, and purposeful planning.
Limitations:
Time-consuming, less flexible in fast-changing fields like cybersecurity.
Can be messy without a clear scope; may require design expertise.
Less emphasis on development processes or media production logistics.
Focus on Outcomes: It begins with what learners must be able to do (e.g., identify phishing and respond appropriately, making it ideal for real-world skills).
Authentic Assessment: It supports performance-based tasks like phishing simulations, case analyses, or digital hygiene audits.
UDL Alignment: Encourages flexible paths to outcomes, supporting diverse learners (especially relevant for awareness training).
Clarity and Alignment: Ensures that all activities directly support the desired behavioral and cognitive goals in cybersecurity.
Using Backward Design, the lesson on social engineering might start with this outcome:
“Learners will analyze phishing messages and develop a personal prevention strategy.”
Instruction and assessments are then tailored around realistic threats and authentic demonstrations of understanding, not just definitions.
Here’s a breakdown of why this approach is effective in this domain:
1. Focuses on Real-World Outcomes
Cybersecurity is performance-based; success depends on a learner’s ability to apply knowledge to dynamic, real-world scenarios like detecting intrusions, responding to threats, or configuring secure systems.
Backward Design starts with the end in mind, ensuring that instruction is aligned with practical, job-ready skills.
Helps educators target specific competencies (e.g., risk assessment, threat detection) rather than just covering abstract content.
2. Encourages Higher-Order Thinking
Cybersecurity requires:
Analyzing systems
Evaluating risks
Creating secure protocols
Backward Design:
Promotes deep understanding, not just technical procedures.
Uses Bloom’s Taxonomy to scaffold learners from basic concepts (e.g., definitions) to complex tasks (e.g., incident response planning).
3. Aligns Assessments with Critical Skills
With Backward Design:
Assessments are designed before instruction, ensuring they are meaningful and performance-based.
Students may complete tasks like:
Simulating phishing emails
Performing vulnerability scans
Analyzing logs for anomalies
This ensures learners demonstrate applied knowledge, not just pass a quiz.
4. Supports Adaptability to Threat Evolution
Cybersecurity is constantly changing. Backward Design allows:
Revisiting learning goals to match current industry standards (e.g., NIST, MITRE).
Creating flexible pathways for learning that adapt to emerging threats and tools.
5. Emphasizes Transferable Skills
Rather than teaching isolated facts, Backward Design focuses on:
What learners should understand and do long-term
Skills like problem-solving, communication, and ethical reasoning, which are vital in cybersecurity roles
6. Integrates Well with UDL and Frameworks
Backward Design meshes well with:
Universal Design for Learning (UDL): supporting accessibility and learner variability.
Cybersecurity frameworks, like NICE, NIST, or CIS Controls, ensure instruction is relevant to industry needs.
Challenge in Cybersecurity Instruction
Technical complexity
Fast-evolving threats
Skill transfer to real-world settings
Need for diverse learners
Assessment misalignment
How Backward Design Helps
Focuses learning on key understandings
Keeps goals and assessments current
Aligns tasks with job-based competencies
Encourages multiple formats for expression
Prioritizes performance over memorization