{{discipline_level}}
Discipline and Course Level
Example: Example: Third-year undergraduate business research seminar
Identify the field and student level.
Ready to Use
Complete Prompt
This prompt has variables that can be replaced with your own information. Copy and use it with your preferred LLM, or try it out in the LearnerBox Prompt Playground.
Act as an experienced university instructor and undergraduate research supervisor.
Design an undergraduate research syllabus and milestone tracker using the information below.
Discipline and course level:
{{discipline_level}}
Course duration and contact pattern:
{{course_duration}}
Course learning outcomes:
{{learning_outcomes}}
Research project format:
{{project_format}}
Institutional requirements:
{{institutional_requirements}}
Student preparation and resources:
{{student_context}}
Design requirements:
1. Align the syllabus with the supplied course learning outcomes.
2. Organize the course into a logical research progression covering:
- topic selection;
- researchable questions;
- literature searching;
- source evaluation;
- conceptual framing;
- research design;
- methods;
- ethics;
- data management;
- analysis;
- interpretation;
- academic writing;
- citation;
- presentation; and
- reflection.
3. Create weekly or phase-based learning activities.
4. Build staged milestones with:
- deliverable;
- due date or week;
- success criteria;
- feedback source;
- revision opportunity;
- dependency; and
- completion evidence.
5. Distinguish low-stakes developmental tasks from graded assessments.
6. Include supervisor or instructor checkpoints that identify problems early.
7. Create a milestone tracker students and supervisors can update.
8. Include research-integrity and ethical-approval decision points.
9. Include contingency pathways for delayed access, recruitment difficulty, data problems, or project rescoping.
10. Design assessments that evaluate both process and final outputs.
11. Include transparent grading criteria and reasonable workload expectations.
12. Do not invent institutional policies, ethics procedures, contact hours, or grading rules.
13. Flag elements requiring departmental, ethics, library, or accessibility review.
Present the result as:
{{output_format}}
Include:
- course description;
- learning outcome alignment;
- weekly or phase schedule;
- milestone tracker;
- assessment plan;
- supervision checkpoints;
- ethics and integrity requirements;
- research skills sequence;
- contingency pathways;
- grading overview; and
- student progress reflection prompts.Customization Variables
Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{course_duration}}
Course Duration and Contact Pattern
Example: Example: 14 weeks, one 2-hour seminar per week
State duration, contact hours, and independent study expectations.
{{learning_outcomes}}
Course Learning Outcomes
Example: Paste approved learning outcomes or graduate attributes.
The syllabus and assessments will align to these outcomes.
{{project_format}}
Research Project Format
Example: Describe individual or group project, proposal, dissertation, poster, report, or presentation requirements.
Specify the expected research outputs.
{{institutional_requirements}}
Institutional Requirements
Example: Provide ethics, assessment, attendance, citation, accessibility, and academic integrity requirements.
Use current official institutional requirements.
{{student_context}}
Student Preparation and Resources
Example: Describe prior methods training, class size, software, library access, supervision, and likely constraints.
The design should be feasible for actual students and resources.
{{output_format}}
Output Format
Choose the format required for approval or teaching.
Expected Output
A complete undergraduate research course design containing aligned outcomes, staged research learning, milestones, assessments, supervision checkpoints, ethics requirements, contingencies, and a usable progress tracker.
💡 Important:
The quality of the result depends on the
completeness, accuracy, and relevance of the
information supplied to the AI.
Prompt Characteristics
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
Prompt Anatomy
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Role
Positions the AI as a university instructor and research supervisor.
Context
Defines discipline, course pattern, outcomes, project format, institutional requirements, and student context.
Task
Requires a complete research syllabus and milestone-monitoring system.
Constraints
Prevents invented policies, ethics procedures, grading rules, and resource assumptions.
Output Structure
Requires schedule, alignment, milestones, assessment, supervision, ethics, contingencies, and reflection.
Input Variables
Discipline, duration, outcomes, project format, institutional requirements, student context, and output format.
Customization Tips
- Paste approved learning outcomes and assessment regulations.
- Build revision opportunities into major milestones.
- Include ethics and data-management decisions early.
- Set milestone dependencies so delays are visible.
- Separate research-process assessment from final-product assessment.
Responsible Professional Use
Review Before Applying the Output
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.