This exam engine was intentionally built to demonstrate applied competencies in instructional design, assessment development, and human-centered learning — not just CompTIA trivia.
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ADDIE Framework
Every mode follows the ADDIE instructional design model. The question bank was Analyzed against the official SY0-701 exam objectives and domain weightings; Designed around cartoon analogies for schema activation; Developed into Full Exam, Quick Quiz, and By-Domain modes with MCQs and PBQs; Implemented as a self-contained, deployable HTML app; and continuously Evaluated through score reports that drive the next study cycle.
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Curriculum Design
This project is a fully sequenced curriculum, not just a question bank. Content is scaffolded from foundational concepts (Domain 1) to governance and compliance (Domain 5), mirroring how a formal course map is structured. The Cram Mode serves as a pre-assessment primer; mode selection enables differentiated learning paths; and the domain-specific feedback loop mirrors the remediation cycles used in corporate training programs and academic course redesign. Every design decision is grounded in backwards design — the SY0-701 exam objectives define the terminal learning outcomes, and every question, analogy, and report traces back to them.
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GRC-Aligned Assessment
Scoring mirrors CompTIA's real 750/900 passing threshold, weights each domain to match the actual SY0-701 blueprint, and produces a personalized domain-by-domain study plan. This reflects how security awareness training and competency assessments are structured in enterprise GRC programs — measure the gap, then target remediation.
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AI-Assisted Development
Built entirely through human-led, AI-assisted development — using Claude to generate, iterate, and refine the exam engine's logic, grading, theming, and accessibility from the ground up. This demonstrates fluency in leveraging modern AI tools to ship professional-grade interactive applications at speed.
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Learner Experience Design
Engagement is by design, not accident. The cartoon analogy system applies schema activation — connecting new cybersecurity concepts to familiar characters so information encodes faster and sticks longer. Multiple quiz modes support Universal Design for Learning (UDL) by offering varied engagement pathways: cram study, timed pressure, domain focus, and quick review. The color-coded feedback system and celebration animations use intrinsic motivation principles to keep learners returning.
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Data-Driven Learning
The personalized study report is the product's formative assessment engine. Every completed quiz generates domain-level performance data, identifies missed questions with correct answers and rationale, and prescribes targeted remediation — mirroring the diagnostic reporting used in corporate LMS platforms and academic learning analytics dashboards. This closes the loop between assessment and instruction, turning every attempt into a learning opportunity with a next step, not just a score.