MASTER LESSON PLAN

THE HUMAN SYSTEM BOTTLENECK

From Project to Presence

Master Lesson Plan & Implementation Blueprint

Prepared by: Patricia Silva

EDLD 5389 – Developing Effective Professional Leadership | Instructor: Dr. Jennifer Roble

September 2026

Detailed Lesson Blueprint — Step-by-Step Implementation

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THE HUMAN SYSTEM BOTTLENECK

Opening Abstract — The Problem This Course Solves

The Core Problem

What happens when a project is finished, evaluated, and academically successful, but still remains in a folder? The issue is not simply that people need better slides, better marketing, or more AI. The deeper question is whether the creator can make the value of an existing project visible, intelligible, and strategically present for a real audience. (Learning Forward, 2022)

The Course Answer

From Project to Presence is an individualized professional-learning route in which adults bring work they have already created and learn to move it from private completion toward intentional professional presence.

The project begins on the shelf. Presence begins when the creator can decide how, where, why, and for whom the work should enter the world.

A. IDENTIFICATION

Program Identification

MASTER ROUTE

Master Route at a Glance

C. RATIONALE

Rationale — Why This Design

The Bottleneck Problem

A strong project can remain shelfware when the creator has not yet developed a deliberate route from disciplinary knowledge to audience access. The bottleneck is the passage between knowledge, experience, and project capability and intentional, intelligible, context-responsive professional expression.

The Pedagogical Anchor

The participant's own project is the curriculum anchor. Choice, experimentation, feedback, revision, and transfer are used because the desired outcome is not passive knowledge of media — it is the ability to make and explain context-sensitive representational decisions.

Citations: Harapnuik et al. (2018) — COVA; Fink (2013) — significant learning alignment; Learning Forward (2022) — active, evidence-informed professional learning.

Research Before Production

The sequence protects against premature production. Participants first investigate what different media and tools can do. Only after the repertoire becomes visible do they decide what serves their own project.

Citation: Titus (2007) — applied creativity as disciplined problem solving and iterative refinement, not ornament.

D. LEARNING OUTCOMES

Learning Outcomes

  • Identify and distinguish multiple media, tools, channels, and representational routes that could be used to communicate an authentic project.
  • Use AI as a research and exploration partner to identify possible uses of media/tools, then independently interpret, expand, reject, or modify those possibilities.
  • Explain the project's value and purpose and connect those ideas to deliberate representational decisions.
  • Construct and revise at least one authentic multimodal project representation using media selected for purpose rather than novelty.
  • Explain decisions involving typography, color, composition, voice, pace, duration, sound/music, imagery, sequencing, and/or platform when relevant to the selected artifact.
  • Document human-AI authorship decisions, including what AI suggested, what the participant accepted, rejected, changed, or created independently.
  • Identify primary, secondary, and tertiary audiences and justify why each group may have a relationship to the project.
  • Select appropriate professional channels or opportunities for the project and explain the fit between project, audience, channel, and desired action.
  • Provide constructive, evidence-specific peer feedback without ranking or diminishing the creator.
  • Use self, peer, and facilitator feedback to make and explain revisions.
  • Compare T1, T2, and T3 evidence and describe changes in the project, decisions, strategy, and personal perception of the bottleneck.
  • Present the final project and create a concise process portfolio showing how the route developed over time.
E. SUCCESS CRITERIA

Success Criteria

F. PRIOR KNOWLEDGE / BASELINE — T1

T1 Baseline — Prior Knowledge & Starting Point

Participants are not treated as beginners. T1 establishes what they already know, what they already use, what they believe the project needs, and what currently blocks movement.

T1 Baseline Capture

  • One-minute natural project explanation or equivalent baseline presentation.
  • Initial statement: Why do I believe this project is currently a bottleneck? What is keeping it on the shelf, in the folder, or below the level of presence I want?
  • Current confidence/perception statement in the participant's own words. This is self-report evidence, not a psychological diagnosis.
  • Inventory of tools/media already used or known.
  • Initial artifact or current version of the project presentation.
  • First Opportunity Hunt: places where this project might eventually travel (conference, competition, award, grant, exhibition, stakeholder presentation, professional network, publication, entrepreneurship, community implementation, or participant-suggested route).
  • Initial AI research capture: the participant asks AI how specific forms/tools could be used to present this type of project, saves the response, and annotates what seems useful, irrelevant, incomplete, or worth exploring.

T1 Tool & Representation Research Menu

G. METHODOLOGY

Methodology

The common process is coherent; the participant route remains individual.

I. EIGHT-DAY LESSON SEQUENCE

Eight-Day Lesson Sequence

PEDAGNOSIS ARCHITECTURE

Pedagnosis Architecture — T1 → Development → T2/Dual Mirror → T3

Pedagnosis is the developing framework through which T1, T2, and T3 evidence supports human interpretation and route adaptation. It does not label the learner. The architecture below makes the full sequence explicit.

01

T1: BASELINE EVIDENCE

Establish before targeted development begins.

  • Existing project evidence
  • Current project explanation (natural, unpolished)
  • Participant self-observation and bottleneck perception
  • Existing tool/media repertoire
  • Opportunity assumptions
  • Initial AI research capture + participant annotations

T1 is preserved before any targeted instruction changes the route. (Fink, 2013; Harapnuik et al., 2018; Zimmerman, 2002)

02

TARGETED DEVELOPMENT / PRACTICE

Days 2–6: Value & Purpose → Applied Creativity → Visual Language → Human + AI Creation → Marketing & Placement.

Participants research, create, document, explain, and revise. The route is individualized; the process is coherent. (Titus, 2007; Kędra, 2018; Learning Forward, 2022)

03

T2: DEVELOPMENT EVIDENCE + DUAL MIRROR DECISION POINT

T2 is not simply another measurement. T2 is where evidence is used to determine what instruction should happen next.

Sequence:

  • T2 Evidence Produced
  • → Learner Self-Review
  • → Instructor Human Review
  • → DUAL MIRROR
  • → Optional AI Cross-Data Organization
  • → Human Decision
  • → Retune / Revise / Continue / Model / Provide Resource / Change Route
  • → Revised Learning Route

(Black & Wiliam, 1998; Hattie & Timperley, 2007; Zimmerman, 2002; Panadero, 2017)

04

REVISED LEARNING ROUTE

The participant continues with an adjusted route informed by the Dual Mirror decision. The artifact is revised. The audience strategy is refined. The opportunity shortlist narrows.

05

T3: TRANSFER EVIDENCE

T3 asks: Can the learning transfer to an authentic or altered context?

  • Final transfer artifact
  • Audience adaptation
  • Second peer reception when feasible
  • Final participant reflection
  • Destination / opportunity
  • Process portfolio

After T3, AI may organize a final longitudinal comparison of T1, T2, and T3. The final report supports reflection and the next developmental step. It does not retrospectively replace the Dual Mirror that occurred at T2. (Fink, 2013; Harapnuik et al., 2018; Learning Forward, 2022; Kędra, 2018)

DUAL MIRROR

Dual Mirror — The T2 Instructional Decision Point

Dual Mirror means that the learner and the instructor examine the same T2 evidence from two distinct interpretive positions. They are not two scores. They are not merged into one AI judgment. The two perspectives are preserved separately. The purpose is instructional interpretation.

Learner Self-Observation

The learner asks:

  • What do I notice in my own T2 artifact and process?
  • What changed between T1 and T2?
  • What remains difficult?
  • What do I understand differently now?
  • What would I change or preserve?
  • What feedback was useful? What was not adopted, and why?

This is self-regulated reflection, not self-scoring. (Zimmerman, 2002; Panadero, 2017)

Instructor Interpretation

The instructor asks:

  • What does the activity evidence show?
  • Where is change visible between T1 and T2?
  • Where is friction still visible?
  • What may require additional modeling, practice, support, resources, or another route?
  • What does the feedback triad (self + peer + facilitator) reveal together?

This is formative instructional judgment, not a verdict. (Black & Wiliam, 1998; Hattie & Timperley, 2007)

AI CROSS-DATA ORGANIZATION

AI Cross-Data Organization — What It Can and Cannot Do

AI enters the Pedagnosis cycle AFTER human evidence and self-review exist. Its function is organizational and descriptive. It does not interpret meaning or determine the instructional route.

AI May:

  • Organize evidence across T1, T2, and T3
  • Compare artifact versions
  • Cross-reference self-report statements
  • Summarize documented decision rationales
  • Visualize observable evidence categories
  • Surface candidate patterns (convergence / divergence)
  • Locate evidence within the Activity Process Folder
  • Generate descriptive displays of documented data

Examples of what AI-supported displays may show (descriptive only):

  • Number of audiences identified
  • Number of documented decision rationales
  • Number of opportunity routes identified
  • Artifact-version comparisons
  • Feedback categories
  • Documented changes
  • Tool/media repertoire
  • Accepted / Modified / Rejected AI suggestions
  • T1/T2/T3 self-report statements side by side
  • Observable evidence categories

AI Does NOT:

  • Diagnose the participant
  • Assign human value
  • Determine competence, intelligence, creativity, or personality
  • Decide what the evidence means
  • Select the consequential instructional route
  • Produce evaluative scores from descriptive data

Graph and Data Rule:

AI-supported graphs may show only real, documented evidence. Prefer descriptive language:

CHANGED | REMAINED STABLE | APPEARED | DISAPPEARED | EXPANDED | NARROWED | WAS REVISED | WAS PRESERVED

Do not invent percentages. Do not create fake precision. A graph makes evidence visible. A graph does not determine the meaning of the evidence.

T3: TRANSFER

T3 — Transfer Evidence & Function

T2 and T3 have different purposes. T2 asks: What should be retuned in the learning route? T3 asks: Can the learning transfer to an authentic or altered context?

T2 vs. T3 — Distinct Functions

T3 Evidence Components

  • Final transfer artifact (adapted to selected context)
  • Audience adaptation (primary/secondary/tertiary map applied)
  • Second peer reception when feasible (different peer from T2)
  • Final participant reflection — two parts: The Project and The Experience
  • Destination / opportunity selected
  • Process portfolio (concise route summary from T1 through T3)
  • Final bottleneck statement (participant's own language)
  • Next-action plan

After T3 — AI Longitudinal Comparison

After T3, AI may organize a final longitudinal comparison of T1, T2, and T3 evidence. This comparison supports reflection and the next developmental step. It does not retrospectively replace the Dual Mirror that occurred at T2. Evidence streams remain distinct: self-report, artifact evidence, peer reception, instructor interpretation, and AI-organized comparison are never merged into a single score.

(Fink, 2013; Harapnuik et al., 2018; Learning Forward, 2022; Kędra, 2018)

J. ACTIVITY DESIGN

Core Activity Design — Bring Your Project. Find Its Presence.

The activity is constant while the route is individualized. Every participant begins with an authentic project and repeatedly asks: What does this project need in order to become intelligible and usable for the next audience? The participant researches possibilities, creates, documents, receives feedback, revises, and transfers.

Required Research-to-Creation Pattern

01

Research

What can this medium/tool/channel do for a project like mine?

02

Interpret

Which possibilities actually fit my purpose?

03

Specify

What would this look/sound/feel like in my project—typography, color, voice, timing, music, imagery, structure, duration, interaction?

04

Create

Build a project-specific representation.

05

Explain

Why did I choose these elements?

06

Test

What does another human notice, remember, understand, question, or lose?

07

Revise

What changed and why?

08

Transfer

Where should this project go next?

J.1 IMPLEMENTATION BLUEPRINT

Module-by-Module Implementation Blueprint (Modules 1–5)

The ten-module architecture converts the conceptual plan into a build specification for Leadership City. Each module includes the activity, evidence, data fields, and research anchor. The common process is coherent; the participant route remains individual.

J.1 IMPLEMENTATION BLUEPRINT (CONTINUED)

Module-by-Module Implementation Blueprint (Modules 6–10)

Human Decision Check

AI may organize, reveal, compare, support, suggest, or generate. It does not define the person or select the consequential route. The participant and facilitator interpret context and decide.

Gemini Build Rules for All Modules

  • Do not overwrite original T1/T2/T3 artifacts; preserve version history.
  • Do not auto-score intelligence, creativity, confidence, personality, potential, or professional worth.
  • Keep participant self-report, peer feedback, facilitator interpretation, and AI-organized evidence as separate streams.
  • Allow an open "Other" option for tools, audiences, channels, and opportunities.
  • Show AI suggestions separately from participant decisions; require a human rationale before a route is finalized.
  • At the end of each module ask: What did you decide? Why? What evidence or feedback informed the decision? What remained yours?
K. ASSESSMENT PLAN

Assessment Plan — FOR / AS / OF Learning

ASSESSMENT BOUNDARY

Assessment evidence may describe the artifact, process, decisions, revision, and transfer. It must not be used to infer intelligence, human worth, personality, creativity as a fixed trait, or complete professional competence.

L. EVIDENCE OVER TIME

Evidence Over Time — T1 → T2 → T3

T1, T2, and T3 make the route visible longitudinally. T1 captures the starting point. T2 introduces a feedback triad — self, peer, and facilitator — and requires revision based on evidence rather than compliance. T3 captures transfer.

Perception Progression — Safe Use

The course may compare the participant's own T1, T2, and T3 statements about the project and its bottleneck. This is longitudinal project-perception self-report, not a clinical or psychological measure. Use the same prompts at T1/T2/T3 and compare language descriptively rather than converting it into a diagnostic score. (Herbert et al., 2025; Ibrahim et al., 2025 — boundary references only)

M. FEEDBACK PLAN

T2 Feedback Plan — The Feedback Triad

At T2, feedback comes from three human perspectives: the participant, a randomly/electronically assigned peer, and the facilitator. The purpose is not to vote on the project. It is to provide usable reception evidence. (Black & Wiliam, 1998; Hattie & Timperley, 2007)

Self-Feedback

The participant reflects on their own artifact first. What do I notice now that I didn't before? What would I change? What do I want to preserve?

Peer Feedback (Electronic Rotation)

A randomly/electronically assigned peer responds using the Constructive Peer Feedback Questionnaire. Key questions:

  • What did you understand the project to be trying to do?
  • What part held your attention most strongly?
  • Was there a moment when your attention dropped?
  • What do you remember most after viewing it once?
  • What felt especially intentional or distinctive?
  • What is one specific change you would suggest testing?
  • What should the creator preserve?

Facilitator Feedback

Facilitator provides formative response informed by T1 baseline and T2 artifact. Feedback informs the next action rather than operating as a verdict.

Feedback Language Rule

"Describe the reception of the artifact, not the worth of the person. Prefer 'I lost the thread around 1:42 because…' over 'You are boring.' Prefer 'The contrast made the title difficult for me to read' over 'Your design is bad.'"

T3 Peer Rotation

At T3, the electronic rotation assigns a different peer/project relationship from T2 when feasible. This provides a second human reception point without turning the course into popularity scoring.

R. AUDIENCE STRATEGY

Audience Strategy — Hierarchy of Relationship

Audience is taught as a hierarchy of relationship to the project rather than a generic 'target market.' The participant must justify the hierarchy for the actual project. The example teaches the reasoning pattern; it is not a template to copy. (Taormino, n.d.; Stanciu, 2025; Fink, 2013)

Marketing is framed as strategic placement: where does this project need to be visible, for whom, and what does that context require? The objective is fit, not platform popularity.

(Taormino, n.d.; Stanciu, 2025)

P. AI USE & GOVERNANCE

AI Use & Governance

What AI Can Do

  • Help participants discover possible uses of media/tools
  • Brainstorm alternatives
  • Generate or edit media where permitted
  • Organize evidence
  • Compare versions
  • Support accessibility

What AI Cannot Do

  • Own the project
  • Decide the participant's purpose
  • Determine the correct audience
  • Assign human value
  • Make consequential evaluative decisions

Activity Process Disclosure — Required Fields

  1. What AI/tool did I use?
  1. What did I ask it to do?
  1. What did it suggest or generate?
  1. What did I accept?
  1. What did I reject?
  1. What did I modify?
  1. What did I create or decide independently?
  1. What source, license, or disclosure is required for the final artifact?

AI may organize, reveal, compare, support, or suggest. The participant and facilitator interpret context and make the consequential decisions. (Gonsalves et al., 2026; Harapnuik et al., 2018)

RESEARCH & CITATION ALIGNMENT

Research-to-Technique Alignment Map

Research & Citation Guardrails

The lesson plan is research-informed, but it must not make claims that exceed the sources. This professional-learning course is not an RDoC assessment and does not diagnose participants. For the final academic reference list, retain only sources actually cited in the narrative.

T–U. TRANSFER & ALUMNI ROUTE

Transfer, Portfolio & Post-Course Presence

Process Portfolio

The participant returns to the evidence created across the course and produces a concise route summary covering:

  • Where the idea/project began
  • What the original bottleneck was
  • What research opened new possibilities
  • What was created
  • What feedback changed
  • What was rejected
  • How the artifact changed
  • Who the audiences are
  • What destination was selected
  • What remains to be done

Final Reflection — Two Parts

(1) The Project — what was created, for whom, and which decisions mattered.

(2) The Experience — what changed in the participant's understanding of the project, the bottleneck, available routes, and next action.

The reflection is participant-authored and is not a psychological assessment.

Post-Course Presence & Alumni Route

After the course, the participant chooses whether the final project remains:

  • Private
  • Code-protected
  • Publicly visible in the Leadership City Library

If published, the participant receives a link for a professional portfolio and the course certificate.

Alumni Contributions (Invited, Never Required)

  • Give a talk about their project
  • Contribute a project story
  • Be interviewed
  • Develop a future training/workshop based on expertise they genuinely hold
DESIGN FOUNDATIONS

Design Foundations — Note on Method and Structure

Why the Same Cycle Repeats Across All Eight Days

This plan runs on a deliberate repetition of one cycle: exposure, practice, feedback, reflection, and revision. That repetition is not a lack of variety. It is the architecture. Each return to the cycle happens on a project that has changed, so the same structure produces a different result. Novelty is not the goal. Consolidation is.

Constructivist Grounding

The design is grounded in constructivist learning theory (Vygotsky, 1978): participants construct meaning through activity, mediation, tools, and reflection rather than receiving a finished formula. Knowledge is not transferred to them; it is built by them, using their own authentic project as the object of thinking. At the same time, the plan carries traditional instructional structure — explicit modeling, defined sequences, clear deliverables, and instructor-provided scaffolds. The two are not in conflict. Constructivism explains how understanding develops; traditional structure provides the conditions in which that development can happen safely and predictably.

Method — Cognitive Apprenticeship

The eight-day structure operationalizes cognitive apprenticeship (Collins, Brown, & Newman, 1989). Modeling precedes practice. Coaching accompanies the attempt. Scaffolding is gradually removed as competence develops. Articulation and reflection transform process into understanding. Exploration — the Opportunity Hunt — is where the participant tests the repertoire against real destinations. These six methods are not added on top of the design; they are the design, named.

Method — Signature Pedagogy

This design is working toward a signature pedagogy for professional presence (Shulman, 2005). In a signature pedagogy, a profession teaches through a characteristic form of instruction that reflects how its practitioners actually think — the medical rounds, the legal case method, the architectural studio critique. Here, the participant's own project serves as the object of critique, and the route toward audience becomes the curriculum. The teaching form and the professional capability are the same thing.

REFERENCES — APA 7

References — APA 7

All sources listed below are cited in the body of this lesson plan. No source appears in this list that is not cited in the narrative. Herbert et al. (2025) and Ibrahim et al. (2025) are retained as boundary references only and do not validate an educational bottleneck scale.

  • Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: Principles, Policy & Practice, 5(1), 7–74. https://doi.org/10.1080/0969595980050102
  • Collins, A., Brown, J. S., & Newman, S. E. (1989). Cognitive apprenticeship: Teaching the crafts of reading, writing, and mathematics. In L. B. Resnick (Ed.), Knowing, learning, and instruction: Essays in honor of Robert Glaser (pp. 453–494). Lawrence Erlbaum Associates.
  • Fink, L. D. (2013). Creating significant learning experiences: An integrated approach to designing college courses (Rev. and updated ed.). Jossey-Bass.
  • Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410–8415. https://doi.org/10.1073/pnas.1319030111
  • Gonsalves, C., Van Vuren, S., & Gill-Simmen, L. (2026). Assessing the irreducibly human in marketing education: A voice, judgement and taste framework for the generative AI era. Journal of Marketing Education. Advance online publication. https://doi.org/10.1177/02734753261454375
  • Harapnuik, D., Thibodeaux, T., & Cummings, C. (2018). COVA: Choice, ownership, and voice through authentic learning (Version 0.9).
  • Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. https://doi.org/10.3102/003465430298487
  • Herbert, G. T., Ho, C. T., Goddard, J., Garthwaite, H. J., Komes, J., Petkov, C. I., & Sedley, W. (2025). Exaggerated perception of change with greater sensory imprecision. Scientific Reports, 15, 29415. https://doi.org/10.1038/s41598-025-14791-6
  • Ibrahim, R. H., Hamarash, M. Q., Ahmed, A. J., Al Mukhtar, S. H., & Yaas, M. H. (2025). The role of self-perception in mental health: Current insights on self-esteem and self-schemas. Frontiers in Psychiatry, 16, 1683194. https://doi.org/10.3389/fpsyt.2025.1683194
  • Kędra, J. (2018). What does it mean to be visually literate? Examination of visual literacy definitions in a context of higher education. Journal of Visual Literacy, 37(2), 67–84. https://doi.org/10.1080/1051144X.2018.1492234
  • Learning Forward. (2022). Standards for professional learning. https://learningforward.org/standards/
  • McChesney, C., Covey, S., & Huling, J. (2012). The 4 disciplines of execution: Achieving your wildly important goals. Free Press.
  • Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, Article 422. https://doi.org/10.3389/fpsyg.2017.00422
  • Shulman, L. S. (2005). Signature pedagogies in the professions. Daedalus, 134(3), 52–59. https://doi.org/10.1162/0011526054622015
  • Stanciu, M. (2025). Strategically embedding the marketing department within management: Drivers, models, and leadership perspectives. The USV Annals of Economics and Public Administration, 25(2[42]), 154–163. https://doi.org/10.4316/aepa.2025.25.2(42).154-163
  • Taormino, S. (n.d.). A practical guide to marketing leadership roles and responsibilities. Stephen Taormino. Retrieved September 22, 2026, from https://stephentaormino.com/marketing-leadership/
  • Titus, P. A. (2007). Applied creativity: The creative marketing breakthrough model. Journal of Marketing Education, 29(3), 262–272. https://doi.org/10.1177/0273475307307600
  • Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
  • Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. https://doi.org/10.1207/S15430421TIP4102_2
CLOSING PRINCIPLE

A project does not need to become louder to become present.

It needs a deliberate route between what the creator knows, what the audience can access, and what the human decides to do next.


AI Is Present, But Not the Center

It can widen the map, accelerate research, produce drafts, generate media, organize evidence, compare versions, and support accessibility. It cannot decide what the project means, which audience deserves it, whether a human being is creative, or which professional route should define that person.

Author Statement

I use AI to interrogate my thinking, not to replace it. The idea begins with me; AI helps me test the route.

— Patricia Silva

AI USE LEVEL 2 — AI-ASSISTED

The conception and intellectual development of From Project to Presence are Patricia Silva's. Patricia retained responsibility for the problem definition, pedagogical architecture, leadership decisions, interpretation, revision, source selection, acceptance criteria, ethical boundaries, and final academic judgment.

Patricia Silva | Master Lesson Plan | September 2026 | EDLD 5389