Design Models for Instructional Design

Instructional Design Models and Frameworks Introduction Instructional design is fundamentally about creating learning experiences that effectively move learners from their current knowledge and skills to desired outcomes. To do this systematically, instructional designers rely on various models and frameworks that guide decision-making throughout the design process. These models provide structure, help teams communicate, and ensure that all critical components of instruction are addressed. In this section, we'll explore the major models and frameworks you'll encounter in instructional design: comprehensive design models (ADDIE and Dick and Carey), cognitive frameworks (Bloom's Taxonomy and Gagné's Events), design approaches (Rapid Prototyping), and motivational design models (ARCS and MOM). The ADDIE Model The ADDIE model is the foundation of instructional design practice. The acronym stands for: Analyze – Identify what learners need to learn and the gap between their current and desired performance Design – Plan the instructional approach, learning objectives, and assessment strategy Develop – Create actual instructional materials and resources Implement – Deliver the instruction to learners in the intended setting Evaluate – Assess whether the instruction achieved its goals and gather feedback for improvement Originally developed by Florida State University for military training programs, ADDIE has become the standard framework across virtually all instructional contexts—from corporate training to K-12 education to higher education. A critical feature of ADDIE is that it is iterative, not strictly linear. This means that evaluation findings can prompt revisions at any phase. For instance, if formative evaluation (testing during development) reveals that learners struggle with certain concepts, designers may return to the Design phase to restructure content, or back to Develop to create additional practice activities. This flexibility is what makes ADDIE robust for real-world design challenges. Bloom's Taxonomy: Understanding Cognitive Complexity Bloom's Taxonomy is a classification system that describes six levels of cognitive complexity, arranged from simplest to most complex thinking: Remember – Retrieve facts and basic concepts from memory (e.g., "Define photosynthesis") Understand – Explain ideas or concepts (e.g., "Describe how photosynthesis works") Apply – Use information in new situations (e.g., "Calculate the rate of photosynthesis in a new plant species") Analyze – Draw connections among ideas and distinguish relationships (e.g., "Compare photosynthesis in plants versus bacteria") Evaluate – Justify choices or decisions based on criteria (e.g., "Judge whether this organism could survive in an environment with limited sunlight") Create – Produce original work or reorganize elements into new structures (e.g., "Design a hypothetical organism optimized for photosynthesis in low-light conditions") Why this matters for instructional designers: Bloom's Taxonomy helps ensure that learning activities match the cognitive demands of your objectives. A common mistake is designing activities that only target Remember or Understand levels when learners actually need to Apply or Analyze. By aligning your instructional activities with the appropriate taxonomy level, you create better alignment between what you teach, how you teach it, and what you assess. The taxonomy also signals progression—learners typically need to master lower levels before advancing to higher ones. You wouldn't ask someone to Evaluate a concept they don't yet Understand. Gagné's Nine Events of Instruction Robert Gagné proposed a more prescriptive framework that outlines nine specific instructional events—things an instructor or instructional material should do to support learning. Unlike Bloom's (which describes cognitive goals), Gagné's Events describe the instructional process. 1. Gain Attention Present a stimulus—a question, image, story, or problem—that captures learner interest and directs focus to the lesson. Example: Start a lesson on climate change with striking visuals of environmental changes. 2. Inform Learners of Objectives Clearly state what learners will be able to do by the end of instruction. This sets expectations and helps learners know what to focus on. 3. Stimulate Recall of Prior Learning Activate existing knowledge that's relevant to the new content. This might be done through review questions, discussion, or brief examples. This connection is crucial because new learning builds on what learners already know. 4. Present the Stimulus (Content) Deliver the new material with emphasis on key features and critical attributes. The presentation should highlight what's important and potentially confusing. 5. Provide Learning Guidance Offer organization, cues, analogies, and learning strategies that help encode the information meaningfully. Rather than leaving learners to discover structure on their own, guidance scaffolds their understanding. 6. Elicit Performance Require learners to demonstrate the new skill or knowledge—through practice problems, discussions, simulations, or projects. Practice is essential for learning; passive exposure isn't enough. 7. Provide Feedback Offer corrective, specific information about performance. Feedback should identify what was correct, what was incorrect, and why, so learners can adjust. 8. Assess Performance Formally evaluate learner output and provide additional feedback. This is slightly more formal than practice feedback and documents learning. 9. Enhance Retention and Transfer Use spaced practice, varied contexts, and increasingly complex applications so learners can retain knowledge longer and apply it in new situations. This event recognizes that learning isn't complete after one successful performance. These nine events form an instructional sequence that can be embedded in lessons, courses, or entire programs. Designers use them as a checklist to ensure they've addressed the complete instructional process. The Dick and Carey Systems Approach Model While ADDIE is broad and flexible, the Dick and Carey model is more detailed and explicitly systems-oriented. It views instruction as an interconnected system where changes in one component affect others—learners, instructors, instructional materials, the environment, and assessment all interact. The model's key steps are: Identify instructional goals – Define what the instruction should accomplish at a broad level Conduct instructional analysis – Break goals into specific skills and knowledge components and map their relationships Analyze learners and contexts – Understand learner characteristics and the settings where instruction will occur Write performance objectives – State specific, measurable behaviors that demonstrate learning Develop assessment instruments – Create tests and performance measures aligned with objectives Develop instructional strategy – Decide on sequencing, instructional methods, and learning activities Develop or select materials – Create or choose instructional resources Conduct formative evaluation – Test instruction with real learners and gather feedback during development Revise instruction – Make improvements based on formative evaluation results Conduct summative evaluation – Assess overall program effectiveness after implementation A key distinction: Unlike the sometimes-linear appearance of ADDIE, Dick and Carey explicitly notes that execution is iterative and often parallel. Steps can overlap, and feedback loops are built in at multiple points. The systems perspective is valuable because it reminds designers that instruction doesn't exist in isolation—a change to materials might require different instructor preparation, or learner characteristics might demand environmental adjustments. Rapid Prototyping Rapid Prototyping is an iterative design approach that emphasizes creating and evaluating early, imperfect versions of instructional products to identify problems quickly and fix them before investing in full development. Rather than spending months planning every detail before creating anything, rapid prototyping works like this: Create a rough prototype (a draft lesson, video, simulation, or interactive tool) Test it with a small group of learners or subject matter experts Gather feedback on what works and what doesn't Revise quickly Test again Repeat until the product is refined Why use it? This approach is faster and cheaper than traditional "get it perfect before building" methods. Problems are caught early, user feedback shapes development, and the final product is more likely to work well in practice. Rapid Prototyping is especially valuable for complex, innovative, or novel instructional challenges where you can't predict all issues upfront. <extrainfo> Note: Rapid Prototyping can be combined with ADDIE; for example, you might use rapid prototyping during the Develop phase of ADDIE to test materials iteratively before broad implementation. </extrainfo> Motivational Design Models Motivation is a critical factor in learning success. Two important models specifically address how to design instruction to keep learners engaged and motivated. The ARCS Model (Keller) John Keller's ARCS model identifies four conditions necessary for learner motivation. The acronym stands for: Attention (Arousal) Capture and maintain learner interest. This means using novelty, variety, and personal relevance. A single, monotonous delivery method will lose attention. Examples: unexpected questions, case studies tied to learner interests, multimedia that engages multiple senses. Relevance Connect the learning content to learners' personal goals, values, and needs. Learners ask, "Why should I care about this?" If you can't answer that convincingly, motivation drops. For instance, in a workplace training on data analysis, explicitly link the skills to career advancement or to solving real problems the learner faces. Confidence Help learners believe they can succeed. This requires clear expectations, scaffolding (support that gradually decreases), achievable challenges, and feedback that emphasizes growth. If tasks feel impossible or expectations are vague, learners lose confidence. Satisfaction Provide rewards—both intrinsic (internal satisfaction from accomplishment) and extrinsic (grades, certificates, recognition)—for successful performance. Satisfaction also comes from applying new skills in meaningful contexts. Motivating Opportunities Model (MOM) The Motivating Opportunities Model is more comprehensive, integrating insights from cognitive, needs-based, affective, and social learning theories. Its SUCCESS framework captures seven dimensions: Situational – Make instruction relevant to real-world contexts and problems Utilization – Connect learning to learners' goals and how they'll use the knowledge Competence – Design tasks to build skill and mastery progressively Content – Use engaging, meaningful material aligned with learner interests Emotional – Acknowledge and support learners' feelings and emotional responses to learning Social – Leverage peer interaction, collaboration, and community Systemic – Ensure that policies, resources, and environment support motivation MOM is broader than ARCS because it explicitly integrates social and systemic factors, recognizing that motivation isn't just an individual psychological state but is shaped by the entire learning ecosystem. Practical insight: Both ARCS and MOM can be used alongside ADDIE or other design models. For example, during the Design phase of ADDIE, you'd ask: "How will we maintain Attention? How is this Relevant? How will we build Confidence? How will learners experience Satisfaction?" Synthesis: How These Models Work Together These models serve different purposes and can be combined: ADDIE and Dick & Carey are comprehensive process models that guide the entire design and development cycle Bloom's Taxonomy and Gagné's Events are cognitive and instructional frameworks that inform the content and methods you choose within those processes Rapid Prototyping is a design approach that can be embedded in any of the process models ARCS and MOM are motivational frameworks that ensure engagement throughout the instruction Most instructional designers use ADDIE or Dick & Carey as their primary structure, while referring to Bloom's, Gagné's, and motivational models to make specific decisions about objectives, activities, and engagement strategies. Rapid Prototyping might be used iteratively during development to refine materials. Understanding each model's purpose—and how they complement rather than compete with one another—makes you a more effective designer.