Overview of the Model
Understanding by Design, built by Grant Wiggins and Jay McTighe, is a backward-design model. Instead of opening a planner and listing activities or the next textbook chapter, the designer starts with the end in mind and works backward from it. The model runs in three stages.
Desired Results
Decide first what learners should walk away understanding and doing. This is where I set goals, name the big ideas worth keeping, and write essential questions that keep the learning pointed at something that lasts past the course.
Evidence
Before a single activity is planned, decide how you will know learners got there. What performance would prove real understanding? What smaller checks show progress along the way? Assessment is designed here, not tacked on at the end.
Learning Plan
Only now do you build the instruction. Sequence the lessons, hooks, practice, and materials so every piece moves learners toward the results from Stage 1 and the evidence from Stage 2.
The whole point of the model is alignment. Because you design the destination and the proof of arrival first, the activities can't drift into busy work. Every task has to earn its place by pointing back to the outcome.
Implications for Learning Design
- Outcomes come first, so design decisions stay intentional instead of activity-driven. You build toward a goal rather than filling time.
- Objectives and assessment are written together, which produces tight alignment. The check for learning and the goal it measures are one conversation, not two.
- The focus moves off "covering" content and onto understanding that transfers. That shift matters most for skills learners are meant to use on their own later.
- For a self-paced course, backward design keeps every module anchored to a stated outcome — a real advantage when there is no live instructor holding the thread.
Strengths & Limitations for Decoding the Code
Where it supports my design
- Same logic as structured literacy. Backward design and structured literacy think alike — both start from a clear end and build an explicit, sequenced path to it. Naming my six outcomes first (Stage 1) let me map every module back to one specific teacher skill.
- Essential questions open the door. A Stage 1 question like "Why do my strongest students still stumble when they read the textbook aloud?" creates the honest moment a content teacher needs before I teach a single term.
- Evidence-first fits a usable product. Stage 2 pushed me to a performance task that writes itself: design a content lesson that carries a literacy support inside it. If a teacher can build it, the teacher understood it.
Where it challenges my design
- Heavy for a short course. The full model assumes time to define big ideas and one culminating task. My teachers work in the cracks between classes, so I had to break that single task into smaller module-level artifacts.
- Quiet on adults and tools. UbD tells me to align; it does not tell me how to keep a tired teacher engaged or which assistive tool to reach for. I have to layer andragogy and UDL on top of the frame.
- "Understanding" is abstract. For busy secondary teachers I had to turn a fuzzy idea into concrete, observable evidence, and that took real work in Stage 2.
Managing Cognitive Overload
Content-area teachers already carry full plates — five classes, grading, and a curriculum that never pauses. Handing them structured literacy all at once is how good intentions turn into a binder nobody opens. So I built the fix into the course from the start: chunking.
Every module is sized for about fifteen minutes a day, so the learning fits a prep period instead of a lost weekend. That is Cognitive Load Theory in practice — working memory holds only so much at once, and short, spaced sessions keep the load in check and let each idea settle before the next one arrives (Sweller, 1988).
Course Learning Outcomes
By the end of this course, learners (Grades 6–12 content-area teachers) will be able to:
- Identify the six components of structured literacy — phonology, sound-symbol association, syllable instruction, morphology, syntax, and semantics — and explain how each supports reading in adolescent learners.
- Analyze samples of student reading and writing to locate where a decoding, fluency, or comprehension breakdown is happening.
- Apply morphology-based strategies — roots, prefixes, and suffixes — to teach the academic vocabulary specific to their content area.
- Design a content-area lesson component that carries explicit, multisensory literacy support without lowering the rigor of the material.
- Select assistive technologies and accommodations — text-to-speech, decodable digital text, specialized fonts, audio scaffolds — matched to a specific student profile.
- Evaluate their own instruction against structured-literacy principles and set one measurable goal for their classroom.
References
CAST. (2018). Universal design for learning guidelines version 2.2. https://udlguidelines.cast.org
International Dyslexia Association. (n.d.). Structured literacy: Effective instruction for students with dyslexia and related reading difficulties. https://dyslexiaida.org/structured-literacy-effective-instruction-for-students-with-dyslexia-and-related-reading-difficulties/
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
Wiggins, G., & McTighe, J. (2005). Understanding by design (2nd ed.). Association for Supervision and Curriculum Development.