The Dick & Carey Model: A Comprehensive Instructional Design Framework
- Dr. Armando J. Poleo

- Nov 20, 2025
- 3 min read
The Dick & Carey Model presents a systematic framework for instructional design, viewing teaching and learning as an interconnected system. This approach prioritizes establishing clear goals, thorough analysis of learners, creating measurable objectives, and ongoing evaluation. As a structured, iterative process, the model ensures that instructional design remains purposeful, measurable, and learner-centered. For those dedicated to crafting effective, ethical, and adaptive learning experiences, the Dick & Carey Model offers foundational guidance.

Overview of the Model
Developed by Walter Dick and Lou Carey in their influential work, The Systematic Design of Instruction (1978), the Dick & Carey Model is often referred to as the Systems Approach Model. Unlike linear instructional models, this framework conceptualizes instruction as a dynamic system in which instructors, learners, instructional materials, and learning contexts interact to achieve desired learning outcomes.
Components of the Dick & Carey Model
Identify Instructional Goals:
Define what learners should know or be able to do by the conclusion of instruction.
Conduct Instructional Analysis:
Break down the instructional goals into specific skills and knowledge learners must acquire to achieve those goals.
Analyze Learners and Contexts:
Assess learner characteristics, such as prior knowledge, motivation, and skills, as well as the learning environment.
Write Performance Objectives:
Create measurable objectives that specify the desired behavior, the conditions for performance, and the criteria for success.
Develop Assessment Tools:
Design tests, quizzes, or performance tasks to evaluate learners' achievement of objectives.
Develop Instructional Strategy:
Plan instructional methods, sequence activities, provide practice opportunities, and establish feedback mechanisms.
Develop and Select Instructional Materials:
Create or adapt materials such as slides, readings, or multimedia resources that align with instructional strategies.
Design and Conduct Formative Evaluation:
Pilot instruction with small groups to identify areas for improvement.
Revise Instruction:
Adjust instruction based on findings from formative evaluation.
Conduct Summative Evaluation:
Assess the overall effectiveness of instruction with larger groups to determine the program's success.
Key Features of the Model
Systemic Approach:
Views instruction as a system where goals, learners, materials, and evaluation interact.
Iterative Process:
Allows steps to be revisited and refined to enhance instructional effectiveness.
Focus on Measurable Outcomes:
Design objectives and assessments to ensure clear accountability for learning outcomes.
Learner-Centered:
Emphasizes analyzing learner needs and contexts before designing instruction.
Strengths
Offers clarity and structure for instructional designers.
Ensures alignment among instructional goals, objectives, strategies, and assessments.
Promotes ongoing improvement through formative and summative evaluation.
Limitations of the Model
· The process can be time-consuming due to its level of detail.
· May feel rigid if not adapted for flexible or creative learning environments.
Applying AI to the Model
Artificial Intelligence (AI) can be incorporated into the Dick & Carey Model to enhance each stage of instructional design. AI makes the model more adaptive, data-driven, and scalable, while human designers continue to ensure ethical integrity and cognitive alignment.
For example, when designing a bilingual leadership training program, AI can analyze learner profiles—such as differences in English and Spanish fluency—generate bilingual objectives and adaptive assessments, and provide personalized slide decks and infographics. AI also tracks learner progress and recommends revisions to improve clarity and engagement.
Benefits of AI Integration
Efficiency: Automates repetitive tasks like quiz generation and learner profiling.
Personalization: Adapts instruction to individual learner needs.
Scalability: Supports large groups through adaptive learning systems.
Data-Driven Decisions: Supplies evidence for instructional revisions and evaluations.
Challenges to Consider
Ethical Concerns: Bias in AI algorithms can impact fairness.
Transparency: Learners and educators must understand AI decision-making.
Human Oversight: AI should supplement—not replace—expert instructional designers.
Conclusion
The Dick & Carey Model provides instructional designers with a scalable, evidence-based framework that prioritizes cognitive alignment, ethical grounding, and learner focus. The model is particularly effective for bilingual or multimedia resource design, as it requires clarity in objectives and adaptability in instructional strategies. As a result, the Dick & Carey Model remains an invaluable tool for creating meaningful and impactful educational experiences.





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