'Do a project' is not a brief. A project track sets a unified path from task to defense for all students and university staff.
Designing the activity sequence: from problem statement to defense. Unified logic for all mentors. For universities and accelerators.
10 mentors — 10 different approaches. One starts with market research, another with a prototype, a third with team formation. Students in different groups get radically different experiences. No unified standard: what constitutes a project outcome, how to assess it, what skills students should have at the end.
'Do a project' is not an instruction. Without a clear sequence of steps, students get lost: when to research? when to prototype? when to prepare the presentation? Result — chaotic work in the last week and a formal 'defense' with no real substance.
The vice-rector asks: 'Does project-based learning work?' But there's no answer — no unified criteria, no metrics, no comparable results across groups. Each department reports differently. Without a project track with rubrics, PBL remains a 'black box.'
A project track is a designed sequence of activities that students follow from receiving a task to defending their project outcome. The track answers "what exactly to do each week" and transforms vague "do a project" into a clear roadmap with checkpoints and assessment criteria.
Based on EdUnit founder's experience (75+ universities via University 20.35 platform), the absence of a project track is the number one reason for project-based learning failures. When 10 mentors run projects differently, results are unpredictable, and administration can't assess PBL effectiveness.
A project track consists of 5–8 stages, each with:
Example for a semester track:
Important distinction:
A course without a track is like a train schedule without a route. There's a departure and arrival time, but where we're going is unclear.
In 2026, it's impossible to design a track without accounting for AI. Students will use ChatGPT for research, generative AI for prototyping, QuantaQuiz for self-assessment. The question is not "ban or allow" but "at which stage and with what rules."
We integrate AI into each track stage with clear rules: what can be delegated to AI, what can't, how to cite AI-generated content. This teaches students not just to use AI but to critically evaluate its outputs — a skill employers demand.
'Project activity' is in the schedule, but there's no project track. Each department does it differently
SolutionUnified project track with rubrics that scales across all programs. Comparable results between groups
Need to take teams from idea to prototype in 2–5 days, but there's no clear activity plan
SolutionIntensive track with a minute-by-minute plan: setup, research, prototyping, pitch. Proven in practice
Assigned as project mentor but unclear what to do at each student meeting
SolutionMentor guide with key meeting scripts. Clear what to ask and how to assess at each stage
Study the format (semester, intensive, accelerator), target competencies, current mentor practices
Create activity sequence, checkpoints, student templates, and mentor guide
Assessment criteria for interim and final results. Individual + team contribution
Training on working with the track, case practice, typical situation analysis
Support during first launch: observation, feedback, track adjustment
| With project track | Without project track | |
|---|---|---|
| Activity sequence | Designed with checkpoints | 'Do a project, defense in 4 months' |
| Mentor role | Meeting scripts, clear expectations | Every mentor improvises |
| Result assessment | Rubrics: research + prototype + teamwork | Subjective grading of final presentation |
| Cross-group comparability | Unified metrics across all mentors | Impossible to compare different groups' results |
| Student experience | Clear what to do each week | Panic in the last week |
Prices are indicative. Final cost confirmed in contract.
If a project track isn't enough and you need a full PBL model — from curriculum audit to scaling. The track becomes part of a larger project.
Learn about PBL consultingProject mentors need to guide students in using AI. AI tools training complements the project track.
Learn about AI trainingInterim knowledge checks in the project track — via AI tests aligned with Bloom's taxonomy. Create a test from project materials in 2 minutes.
Try QuantaQuizPBL consulting for universities: curriculum audit, faculty facilitation training, project assessment rubrics. Founder's track record: 75+ universities via University 20.35. Results in 1 semester.
Most faculty use AI to reproduce old practices — but they need to build new ones. 4-hour hands-on training: ChatGPT, NotebookLM, Perplexity for lesson prep and restructuring assessment. Founder's track record: 75+ universities via University 20.35.
Test from any material in 2 minutes instead of 2 hours. AI generation aligned with Bloom's taxonomy, unique variants, instant grading — in Russian.