A comprehensive teaching design tool for faculty at all career stages. Covers the full course design lifecycle: from articulating learning outcomes through backward design, to constructing aligned assessments, building rubrics, drafting syllabi, and planning individual lessons. Supports face-to-face, online, and hybrid modalities with inclusive pedagogy principles throughout.
Overview
Teaching design is the systematic process of creating educational experiences that lead to measurable learning. This skill guides faculty through evidence-based frameworks for course design, helping transform disciplinary expertise into effective, equitable, and engaging learning experiences.
The skill integrates three foundational frameworks:
- Backward Design (Wiggins & McTighe, 2005) — Start with desired results, then determine acceptable evidence, then plan learning experiences
- Constructive Alignment (Biggs et al., 2022) — Align intended learning outcomes, teaching/learning activities, and assessment tasks
- Bloom's Revised Taxonomy (Anderson & Krathwohl, 2001) — Classify cognitive complexity of learning outcomes across six levels
When to Use This Skill
This skill should be used when:
- Designing a new course from scratch
- Redesigning or revising an existing course
- Writing or refining learning outcomes and objectives
- Creating assessment instruments (exams, projects, portfolios)
- Building rubrics for grading consistency
- Drafting or updating a course syllabus
- Planning individual class sessions or lesson sequences
- Transitioning a face-to-face course to online or hybrid format
- Conducting curriculum mapping across a program
- Implementing inclusive and accessible pedagogy
- Preparing course-level evidence for accreditation reviews
- Mentoring junior faculty on teaching practices
Does NOT Trigger
| Scenario | Use Instead |
|---|---|
| Writing a course's generative-AI use policy or syllabus AI statement | alterlab-syllabus-ai-policy |
| Program-level assurance of learning for AACSB or ABET (outcome maps, closing the loop) | alterlab-accreditation-aol |
| Writing an academic paper, including a SoTL paper about a course | alterlab-paper-writer |
| Statistical analysis of student/grade data | alterlab-statistical-analysis |
| Building a slide deck for a talk or lecture | alterlab-scientific-slides |
Core Capabilities
1. Learning Outcome Design with Bloom's Taxonomy
Learning outcomes are the foundation of all course design. Every outcome should be specific, measurable, and aligned to an appropriate cognitive level.
Bloom's Revised Taxonomy — Six Cognitive Levels:
| Level | Category | Key Verbs | Example Outcome |
|---|---|---|---|
| 1 | Remember | Define, list, recall, identify, name | List the five principles of effective survey design |
| 2 | Understand | Explain, summarize, paraphrase, classify | Explain the difference between formative and summative assessment |
| 3 | Apply | Implement, use, execute, demonstrate | Apply backward design to create a course module |
| 4 | Analyze | Differentiate, organize, compare, deconstruct | Analyze alignment between outcomes, activities, and assessments in a syllabus |
| 5 | Evaluate | Judge, critique, justify, appraise | Evaluate the validity of a rubric using inter-rater reliability data |
| 6 | Create | Design, construct, produce, formulate | Design an inclusive assessment strategy for a hybrid graduate seminar |
ABCD Framework for Writing Outcomes:
A — Audience: Who is the learner? (e.g., "By the end of this course, students will...")
B — Behavior: What will they do? (Use observable, measurable verbs)
C — Condition: Under what conditions? (e.g., "Given a dataset...", "Without references...")
D — Degree: To what standard? (e.g., "with 80% accuracy", "meeting APA 7 standards")
Example — Well-Written vs. Poorly Written Outcomes:
POOR: "Students will understand research ethics."
(Problem: "understand" is not observable or measurable)
BETTER: "Students will identify three ethical violations in a given research scenario
and propose corrections consistent with the Belmont Report principles."
(A: Students, B: identify and propose, C: given a scenario, D: consistent with Belmont)
Outcome Mapping Template:
## Course: [Title]
## Program Learning Outcome Alignment
| Course Learning Outcome | Bloom's Level | Program Outcome | Assessment Method | Week(s) |
|------------------------|---------------|-----------------|-------------------|---------|
| CLO1: [outcome text] | Apply (3) | PLO2 | Project Phase 1 | 4-6 |
| CLO2: [outcome text] | Analyze (4) | PLO3 | Case Study Report | 8-10 |
| CLO3: [outcome text] | Evaluate (5) | PLO5 | Peer Review | 12-14 |
| CLO4: [outcome text] | Create (6) | PLO1, PLO4 | Final Portfolio | 15-16 |
2. Backward Design Process
Backward design inverts the traditional approach of starting with content and ending with a test. Instead, it begins with the end in mind.
Stage 1 — Identify Desired Results
Ask:
- What should students know, understand, and be able to do?
- What enduring understandings should they retain years later?
- What essential questions will guide inquiry?
## Desired Results Template
### Established Goals
- [Institutional/program goals this course addresses]
### Enduring Understandings
Students will understand that...
1. [Big idea that transcends the course]
2. [Transferable principle]
### Essential Questions
1. [Open-ended question that provokes deep thinking]
2. [Question that recurs throughout the course]
### Knowledge and Skills
Students will know... Students will be able to...
- [Key facts/concepts] - [Key skills/processes]
- [Vocabulary/definitions] - [Procedures/techniques]
Stage 2 — Determine Acceptable Evidence
Ask:
- How will I know students have achieved the outcomes?
- What performances or products will demonstrate understanding?
- What criteria distinguish levels of quality?
## Evidence Plan
| Learning Outcome | Assessment Type | Format | Weight | Timing |
|-----------------|-----------------|--------|--------|--------|
| CLO1 | Summative | Research proposal | 25% | Week 8 |
| CLO2 | Formative | Weekly reflections | 10% | Ongoing |
| CLO3 | Summative | Peer review exercise | 20% | Week 12 |
| CLO4 | Summative | Final portfolio | 35% | Week 16 |
| CLO1-4 | Formative | In-class activities | 10% | Ongoing |
Stage 3 — Plan Learning Experiences (WHERETO)
W — Where is the course headed? Help students see the big picture.
H — Hook students early. Engage curiosity with a provocative question or problem.
E — Equip students with knowledge, skills, and tools.
R — Rethink. Provide opportunities to revise and reflect.
E — Evaluate. Let students self-assess and get feedback.
T — Tailor. Differentiate for diverse learners.
O — Organize. Sequence for maximum coherence and engagement.
3. Constructive Alignment
Constructive alignment (Biggs et al., 2022) ensures that what you teach, how you teach it, and how you assess it are all pointing in the same direction.
Alignment Audit Template:
## Alignment Check
| Learning Outcome | Teaching/Learning Activity | Assessment Task | Aligned? |
|-----------------|---------------------------|-----------------|----------|
| CLO1: Analyze... | Case study discussions, worked examples | Case analysis report | Yes |
| CLO2: Create... | Lectures only | Multiple-choice exam | NO — misaligned |
Common Misalignment Patterns:
| Problem | Symptom | Fix |
|---|---|---|
| Outcome says "create" but assessment is MCQ | Students memorize instead of producing | Replace with project-based assessment |
| Activities are passive but outcome requires application | Students cannot transfer to new contexts | Add active learning: problem sets, simulations |
| High-level outcomes but only low-level activities | Students plateau at remember/understand | Scaffold activities up Bloom's levels progressively |
| Assessment tests content not in outcomes | Students feel blindsided; grade disputes | Map every assessment item to a specific CLO |
4. Assessment Design
Formative Assessment (Assessment FOR Learning)
Purpose: Monitor learning in progress, provide feedback, adjust teaching.
Techniques by Class Size:
| Technique | Small (<30) | Medium (30-100) | Large (100+) | Digital? |
|---|---|---|---|---|
| Muddiest Point | Write on cards | Poll Everywhere | LMS poll | Yes |
| Think-Pair-Share | Verbal | With microphone | With clickers | Optional |
| Concept Maps | Paper, share in groups | Digital (Miro) | LMS submission | Yes |
| One-Minute Paper | End of class | End of class | LMS auto-collect | Yes |
| Exit Tickets | Paper slips | Google Form | LMS quiz | Yes |
| Peer Instruction | Clickers + discussion | Clickers + discussion | Clickers + discussion | Yes |
| Draft Submissions | Written feedback | Rubric + comments | Peer review + spot-check | Yes |
Summative Assessment (Assessment OF Learning)
Purpose: Evaluate achievement at the end of a learning period.
Assessment Type Selection Guide:
Does the outcome require PRODUCTION of an artifact?
├── Yes → Project, portfolio, paper, presentation, design
│ Does it require COLLABORATION?
│ ├── Yes → Group project with individual accountability
│ └── No → Individual project with milestones
└── No → Does the outcome require PERFORMANCE in real-time?
├── Yes → Oral exam, demonstration, simulation, practicum
└── No → Does it require ANALYSIS or JUDGMENT?
├── Yes → Case study, essay, critique, problem set
└── No → Selected-response (MCQ, matching, T/F)
Use ONLY for Remember/Understand outcomes
Exam Blueprint Template:
## Exam Blueprint: [Course] Midterm
| Topic | Weight | CLO | Bloom's Level | # Items | Item Type |
|-------|--------|-----|---------------|---------|-----------|
| Topic A | 25% | CLO1 | Remember (1) | 10 | MCQ |
| Topic B | 30% | CLO2 | Apply (3) | 3 | Short answer |
| Topic C | 25% | CLO3 | Analyze (4) | 2 | Case analysis |
| Topic D | 20% | CLO4 | Evaluate (5) | 1 | Essay |
| **Total** | **100%** | | | **16** | |
5. Rubric Design
Rubrics communicate expectations and ensure grading consistency. Choose the format to match the grading context:
- Analytic rubric — separate criteria (thesis, evidence, analysis, writing) each scored across performance levels; best for detailed, defensible grading.
- Holistic rubric — a single letter-grade scale with a descriptor per band; best for fast, whole-work judgments.
- Single-point rubric — one column of proficiency criteria flanked by open "areas for growth" and "evidence of excellence" columns; best for feedback-rich, low-stakes contexts.
Full copy-paste-ready versions of all three rubric formats: see references/course_design_templates.md.
6. Syllabus Design
A syllabus serves as a learning contract, a course map, and a motivational document. A complete syllabus covers: instructor information, course description, learning outcomes, required materials, an assessment-and-grading table (component / weight / due / CLO), the grading scale, course policies (attendance, late work, integrity, technology, communication), accessibility and diversity/inclusion statements, and a weekly schedule.
Full copy-paste-ready syllabus template with every component and example tables: see references/course_design_templates.md.
7. Lesson Plan Design
A single-session lesson plan sequences a class period from opening hook through mini-lecture, active learning, whole-class debrief, and closing formative check. It also specifies session-level objectives (aligned to CLOs), pre-class preparation, a timed session-flow table, a contingency plan (stalled discussion / early finish / tech failure), and a post-session reflection.
Full copy-paste-ready single-session lesson plan template with a timed session-flow table: see references/course_design_templates.md.
8. Online and Hybrid Course Design
Modality Comparison:
| Feature | Face-to-Face | Hybrid/Blended | Fully Online (Sync) | Fully Online (Async) |
|---|---|---|---|---|
| Interaction | Real-time, in-person | Mix of in-person and online | Real-time via video | Discussion boards, email |
| Flexibility | Low (fixed time/place) | Medium | Medium (fixed time) | High (any time) |
| Community building | Natural | Requires intentional design | Possible with effort | Challenging |
| Technology dependence | Low | Medium | High | High |
| Best for | Labs, discussions, performances | Blending lecture and application | Geographically distributed cohorts | Working professionals |
Community of Inquiry Framework (Garrison, Anderson, Archer): Meaningful online learning arises at the intersection of three presences — social presence (open communication, group cohesion, affective expression), cognitive presence (triggering, exploration, integration, resolution), and teaching presence (design/organization, facilitating discourse, direct instruction). The educational experience is shaped by setting climate, supporting discourse, and selecting content.
The full Community of Inquiry diagram and a complete Online Module Design Checklist (before-the-module, content delivery, active learning, assessment, and instructor-presence sections): see references/course_design_templates.md.
9. Inclusive Pedagogy
Inclusive teaching ensures that all students, regardless of background, identity, ability, or prior preparation, have equitable opportunities to learn.
Universal Design for Learning (UDL Guidelines 3.0, CAST 2024) — Three Principles:
| Principle | Guidelines (3.0) | Implementation Examples |
|---|---|---|
| Design Multiple Means of Engagement (the WHY of learning) | Welcoming interests & identities; sustaining effort & persistence; emotional capacity | Choice in assignment topics; varied assessment formats; relevance to diverse experiences |
| Design Multiple Means of Representation (the WHAT of learning) | Perception; language & symbols; building knowledge | Videos with captions; diagrams with alt text; glossaries; multiple examples from different contexts |
| Design Multiple Means of Action & Expression (the HOW of learning) | Interaction; expression & communication; strategy development | Write or record; individual or group; scaffolded milestones; flexible deadlines with structure |
Version 3.0 (July 2024) replaced 2.2's goal of "expert learners" with learner agency (purposeful & reflective, resourceful & authentic, strategic & action-oriented) and treats learners' identities as part of variability; confirm current checkpoint labels at udlguidelines.cast.org before quoting them.
Inclusive Assessment Strategies:
- Offer assessment menus: "Choose 3 of 5 options to demonstrate CLO2"
- Use specifications grading to reduce bias in subjective evaluation
- Provide exemplars of strong, adequate, and weak work
- Allow revision and resubmission on major assignments
- Build in low-stakes practice before high-stakes assessments
- Ensure exam questions do not rely on culturally specific knowledge unrelated to the learning outcome
Addressing Diverse Prior Knowledge:
Pre-assessment at course start
├── Diagnostic quiz (not graded) → Identify prerequisite gaps
├── Background knowledge survey → Understand student contexts
└── Skills inventory → Map incoming competencies
Differentiated support
├── Remedial resources for students below threshold
├── Challenge extensions for advanced students
└── Flexible pathways through core content
10. Curriculum Mapping
Curriculum mapping ensures coherence across an entire program of study.
Program-Level Mapping Template:
## Program: [Degree Name]
## Program Learning Outcomes (PLOs)
| PLO | Description | Introduced (I) | Reinforced (R) | Mastered (M) |
|-----|-------------|-----------------|-----------------|----------------|
| PLO1 | [Description] | COURSE101 | COURSE201, COURSE301 | COURSE401 |
| PLO2 | [Description] | COURSE102 | COURSE202 | COURSE302, COURSE402 |
| PLO3 | [Description] | COURSE101 | COURSE301 | COURSE401 |
## Gap Analysis
- PLO4 is only addressed in one course — add reinforcement opportunity
- No course provides mastery-level assessment for PLO2 — revise capstone
- COURSE203 does not map to any PLO — justify or redesign
Best Practices
-
Start with outcomes, not content. Content is a means to an outcome, not the goal itself. Resist the urge to design around topics you want to cover.
-
Align everything. Use the alignment audit template regularly. If an assessment does not map to an outcome, either the assessment or the outcome is wrong.
-
Use formative assessment frequently. Do not wait until the midterm to discover students are lost. Check understanding every session.
-
Design for the margins. When you design for students with the greatest barriers (disability, language, prior knowledge gaps), you improve learning for everyone (curb-cut effect).
-
Scaffold complexity. Do not jump from Remember to Create. Build through Bloom's levels progressively across the semester.
-
Make the implicit explicit. State expectations clearly. Provide rubrics before assignments. Explain why activities matter. Share the course design rationale with students.
-
Iterate based on evidence. Use student feedback, grade distributions, and your own reflections to revise. Teaching design is never finished.
-
Balance workload. Use a course workload estimator to ensure total student hours are reasonable (rule of thumb: 2-3 hours outside class per credit hour per week).
-
Build community. Learning is social. Design activities that require meaningful interaction, not just parallel work.
-
Document your design. Keep a course design portfolio for tenure review, accreditation, and sharing with colleagues.
Common Pitfalls
| Pitfall | Why It Happens | How to Avoid |
|---|---|---|
| Content overload | Faculty try to cover everything they know | Prioritize with backward design — cut what does not serve outcomes |
| Assessment pileup | Assignments accumulate without coordination | Map all due dates on a semester calendar; coordinate with colleagues |
| Misaligned assessments | Assessments inherited from previous instructor | Audit alignment annually; redesign assessments to match your outcomes |
| Vague rubrics | Written in a hurry without calibration | Pilot rubrics with colleagues; use student work samples to test criteria |
| Inaccessible materials | Default to PDF scans, image-heavy slides | Check accessibility before posting; use LMS accessibility checker |
| Ignoring student feedback | "Students don't know what's good for them" | Distinguish preference feedback from learning feedback; act on patterns |
| One-size-fits-all design | Single modality, single assessment type | Apply UDL principles; offer choices where possible |
| No low-stakes practice | Students' first attempt is the graded one | Add ungraded or low-weight practice before every major assessment |
| Isolation in design | Designing alone without peer input | Participate in teaching communities; invite a colleague to review your syllabus |
References
- Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Longman.
- Biggs, J., Tang, C., & Kennedy, G. (2022). Teaching for quality learning at university (5th ed.). Open University Press.
- CAST. (2024). Universal Design for Learning Guidelines version 3.0. https://udlguidelines.cast.org
- Fink, L. D. (2013). Creating significant learning experiences: An integrated approach to designing college courses (2nd ed.). Jossey-Bass.
- Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2-3), 87-105.
- Meyer, A., Rose, D. H., & Gordon, D. (2014). Universal design for learning: Theory and practice. CAST Professional Publishing.
- Zakrajsek, T. D., & Nilson, L. B. (2023). Teaching at its best: A research-based resource for college instructors (5th ed.). Jossey-Bass.
- Wiggins, G., & McTighe, J. (2005). Understanding by design (2nd ed.). ASCD.
See also: references/teaching-frameworks.md for expanded framework details.
Part of the AlterLab Academic Skills suite.