By Cristo Leon, Ph.D.
Last reviewed, October 12, 2026.
Introduction
A recurring challenge in professional education is that students are often asked to produce artifacts that presume forms of judgment they have not yet had the opportunity to develop.
A Scope of Work is one such artifact.
On the surface, the task appears straightforward. Students are asked to identify a professional problem, define the relevant context, determine the boundaries of the work, and explain which knowledge, skills, and experiences they would apply. Yet this apparently simple sequence hides a deeper cognitive difficulty.
Before students can write a Scope of Work, they need scaffolding that helps them simulate the professional standpoint from which a scope becomes visible.
This distinction matters because a Scope of Work is not merely a document structure. It is an expression of situated professional judgment.
Why Students Struggle to Write a Scope of Work
Students are often asked to define professional responsibilities before they have experienced the workplace contexts in which those responsibilities acquire meaning.
They may understand a disciplinary topic while lacking the situated professional judgment needed to distinguish a broad problem from the specific portion of that problem that falls within a professional role.
A professional does not encounter a problem as an abstract topic.
The problem appears within a workplace, organization, community, project, technical system, regulatory environment, or other bounded setting. The professional interprets that situation through accumulated disciplinary knowledge and experience. From that position, the professional decides what is relevant, what falls within their responsibility, what constraints matter, and what kind of intervention is appropriate.
Students are often being asked to reproduce the final artifact without yet possessing the standpoint that makes those judgments possible.
Why Professional Identity Alone Is Not Enough
One possible solution is to ask students to begin by developing a professional identity.
There is value in this approach. Students can begin to imagine themselves as engineers, scientists, designers, researchers, health professionals, or other disciplinary practitioners. Professional education necessarily involves some degree of identity formation.
But professional identity and professional standpoint are not the same thing.
Professional identity concerns who the learner is becoming. Professional standpoint concerns the position from which the learner is being asked to reason.
A student may be able to say, “I am preparing to become an engineer,” while still having little basis for understanding what an engineer would actually notice when encountering a workplace problem.
This is why I find it more useful to frame the task as a simulation.
The student is not being asked to claim a fully developed professional identity. Instead, the student is temporarily occupying a professional position:
Assume that you are functioning as professional X within context Y. What becomes visible from that position?
This shift is subtle but important.
Students do not need to possess a fully developed professional identity to practice professional reasoning; they need sufficient scaffolding to temporarily occupy a professional standpoint.
Professional identity may take years to develop. Simulated professional positioning can be scaffolded now.
Anticipatory Professional Cognition
I use anticipatory professional cognition to describe the reasoning required when learners must project themselves into a professional context they have not yet experienced and make judgments from within that imagined position.
In Scope of Work development, anticipatory professional cognition requires students to infer a future professional role, recognize which problems would become relevant from that position, establish boundaries of responsibility, identify applicable expertise, and project appropriate professional action.
The difficulty is therefore not simply that students lack professional knowledge.
They are being asked to determine what knowledge would matter, to whom, under which conditions, and for what bounded purpose before they have accumulated the situated experience professionals normally use to make those distinctions.
To define a credible Scope of Work, students must anticipate:
- the role they will occupy;
- the environment in which the work occurs;
- the problems that role is expected to address;
- the boundaries of professional responsibility;
- the expertise relevant to the situation;
- and the actions that expertise enables.
That is a much more demanding task than simply identifying a topic.
A student may know that climate change is important. That does not yet produce a Scope of Work.
A mechanical engineer, civil engineer, environmental scientist, policy analyst, architect, and municipal planner may all encounter problems related to climate change, but each sees a different professional object.
The topic is shared.
The scope is not.
What differentiates them is the professional standpoint from which the problem is interpreted.
From a Broad Topic to a Professionally Bounded Scope of Work
Students often begin with broad topics:
- sustainability;
- artificial intelligence;
- infrastructure;
- health;
- cybersecurity;
- transportation;
- environmental justice.
These may be important domains, but they are not yet professionally actionable problems.
A Scope of Work requires successive narrowing.
One possible sequence is:
Professional Position → Context → Problem → Scope → Expertise → Action
This can function as a professional standpoint scaffold.
Professional Position
Who am I acting as?
Not merely “an engineer,” but perhaps a civil engineer responsible for transportation infrastructure, a software engineer supporting a hospital information system, or an environmental engineer working for a municipal water authority.
Context
Where is the work happening, and under what conditions?
The context may include organizational setting, stakeholders, physical environment, regulations, available resources, deadlines, risks, institutional expectations, and technical constraints.
Problem
What condition requires professional intervention?
The problem should be observable and situated rather than simply thematic.
“Cybersecurity” is a topic.
“A regional hospital has identified repeated unauthorized access attempts against legacy clinical systems that cannot immediately be replaced” is a professional problem.
Scope
Which portion of that problem falls within my responsibility?
This may be the most important step.
Professional work is bounded.
A cybersecurity professional may not be responsible for replacing the hospital’s entire technology infrastructure. The Scope of Work might instead involve conducting a vulnerability assessment, identifying priority risks, recommending access-control changes, and developing an implementation plan.
The larger problem remains.
The professional scope defines the actionable portion.
Expertise
What knowledge, skills, tools, and experiences are relevant to this bounded problem?
Students can then begin connecting their education to professional action. I normally use this guiding questions:
- What coursework matters?
- What laboratory techniques?
- What software?
- What analytical methods?
- What certifications?
- What project experience?
- What communication skills?
The question is no longer, “What have I learned?”
It becomes, “Which parts of what I have learned become useful under these conditions?”
Action
What will I actually do?
At this stage the Scope of Work begins to emerge as a sequence of purposeful professional actions.
Using the GPS Model to Scaffold Scope of Work Development
This approach builds on a broader line of thinking in my work: complex reasoning often becomes more manageable when learners are given a heuristic that helps them distinguish levels of abstraction before they are asked to produce a final response.
I have previously explored this principle through the General–Particular–Specific (GPE) model, which moves learners from broad conceptual framing toward increasingly bounded and actionable specificity.
The challenge of developing a Scope of Work presents a related problem: students must progressively narrow a broad professional domain until they can identify the specific portion of a problem for which a professional could reasonably assume responsibility.
This is where I see an extension of the GPS model.
GPS—Goal, Problem, Solution—works particularly well when students understand the environment in which they are acting. I call this the GPS-Scafolding.
For example, students generally understand the context of a class presentation.
G. The Goal may be to communicate findings clearly.
P. The Problems may include limited time, audience knowledge, information overload, or weak visual organization.
S. The Solution can then be constructed in direct response to those constraints.
Similarly, a job interview is relatively imaginable. Students may not have extensive professional experience, but they can usually understand the goal, identify likely barriers, and prepare strategies.
A Scope of Work is harder because the professional environment itself is uncertain.
Students are not merely solving a problem.
They are first trying to determine what kind of problem would be visible to someone occupying a professional role.
This suggests a useful distinction:
Professional Standpoint Scaffold:
Position → Context → Problem → Scope → Expertise → Action
GPS-Scafolding:
Goal → Problem → Solution
The first helps determine where the learner is reasoning from and what falls within professional responsibility.
The second helps organize action once the professional problem has been bounded.
In this form, GPS model is no longer simply a writing formula.
It becomes part of a scaffold for professional reasoning.
Why Scope of Work Templates and Sentence Starters Are Not Enough
One response to this difficulty is to provide students with sentence frames such as:
- I will practice as a professional X.
- In that field, my expertise will be needed when addressing problem Y.
- This problem occurs within the following professional context…
- To address the issue, I would apply the following skills…
These frames are useful, but they do not necessarily solve the underlying problem.
A student can complete every sentence grammatically while still producing weak professional reasoning.
The missing element is metacognition.
Students need to recognize the categories that professionals use to interpret their work.
They must learn to ask:
- What am I noticing because of the role I occupy?
- What belongs to the larger problem, and what belongs to my scope?
- Which constraints matter?
- Which expertise is relevant here, rather than merely related to the discipline?
- What would count as an appropriate professional action?
The scaffold therefore cannot only tell students what to write.
It must help them understand what they need to notice.
How Generative AI Can Hide Weak Professional Reasoning
Generative AI adds another layer to this challenge.
When students are uncertain about professional context, they can ask an AI system to generate one.
The resulting response may sound convincing.
It may include professional vocabulary, plausible responsibilities, technical language, and polished descriptions of skills.
But this apparent quality can conceal an important failure.
If the student has not identified the professional position, contextual constraints, scope boundaries, and relevant expertise, the AI must infer or invent them.
The result may be rhetorically strong while pedagogically weak.
This creates a paradox.
The better generative AI becomes at producing plausible professional language, the easier it becomes for students to bypass the reasoning the assignment was designed to develop.
The challenge, then, is not simply to restrict AI use.
It is to redesign the scaffold so that AI cannot productively generate the final response until the learner has made the important conceptual decisions.
For example, instead of asking AI:
Write a Scope of Work for an engineer addressing sustainability.
a student might first be required to establish:
- professional role;
- organizational setting;
- stakeholder;
- observable problem;
- responsibility boundary;
- relevant constraints;
- applicable expertise.
Only after these are articulated could AI be used to test, critique, or improve the proposed Scope of Work.
In that model, AI supports articulation rather than replacing professional judgment.
From Professional Identity to Simulated Professional Standpoint
This distinction has become increasingly important to me.
Professional education often speaks about helping students develop a professional identity.
That remains a valuable objective.
But identity alone may be too broad a construct for tasks such as Scope of Work development.
What students need in the immediate instructional moment is a way to occupy a simulated professional standpoint.
“A simulated professional standpoint is a scaffolded position from which learners temporarily reason as members of a profession, interpreting a situated problem, defining the boundaries of their responsibility, and identifying the expertise and actions that would be relevant within that context.” – Cristo Leon, 2021
From that standpoint, they can practice seeing the world as a professional might see it.
They can learn to distinguish a broad social problem from a professionally actionable one.
They can practice bounding responsibility.
They can connect disciplinary learning to contextual action.
And they can begin developing the metacognitive categories that professional judgment requires.
The simulation does not claim that the student has already become the professional.
It creates a structured environment in which the student can rehearse professional cognition before entering the workplace.
Teaching Scope of Work as a Simulation of Professional Judgment
This reframing changes how I think about teaching Scope of Work development.
The challenge is not primarily that students do not know how to write a Scope of Work.
The challenge is that they do not yet have enough professional experience to easily see the problem from which a Scope of Work would emerge.
That suggests a different pedagogical sequence.
Before asking students to write the document, we should help them construct the standpoint.
Before asking for expertise, we should establish the conditions under which expertise becomes relevant.
Before asking for solutions, we should help students determine what part of the larger problem belongs to them.
And before asking students to sound like professionals, we should give them opportunities to practice reasoning like professionals.
The central principle is therefore simple:
«Before students can write a Scope of Work, they need scaffolding that helps them simulate the professional standpoint from which a scope becomes visible.» – Cristo Leon, 2025.
GPS can contribute to that scaffold.
But its value may lie less in giving students a formula for writing and more in helping them progressively construct the relationship among goals, problems, constraints, expertise, and professional action.
A Scope of Work then becomes something more useful than an assignment.
It becomes a rehearsal for seeing.
Frequently Asked Questions
Why is writing a Scope of Work difficult for students?
Because a Scope of Work requires more than writing ability. Students must identify a professional problem, understand its context, determine the boundaries of professional responsibility, and select relevant expertise—judgments normally strengthened through professional experience.
What is anticipatory professional cognition?
Anticipatory professional cognition is the process of reasoning from within a future professional context that the learner has not yet directly experienced.
How can simulation help students develop a Scope of Work?
Simulation allows students to temporarily occupy a professional position and reason about the problems, constraints, responsibilities, and expertise associated with that position without claiming that they already possess a fully developed professional identity.
How can the GPS model support Scope of Work development?
Once students have established a simulated professional standpoint and bounded the problem, GPS—Goal, Problem, Solution—can help organize reasoning from the desired professional outcome through the obstacles that prevent it toward an appropriate course of action.
Can generative AI help students write a Scope of Work?
Yes, but it should support rather than replace the professional reasoning involved. If role, context, scope, constraints, and expertise have not first been established by the learner, AI may generate plausible professional language while concealing weak understanding of the underlying problem.