A project track is a designed sequence of activities that students follow from problem statement to project defense. Without a track, every mentor runs projects differently, students don«t understand expectations, and administration can»t assess results. EdUnit designs tracks for universities and accelerators.
University doesn't know what should happen with students during a project? 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.'
«Project activity» is in the schedule, but there's no project track. Each department does it differently
Unified 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
Intensive 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
Mentor 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
The platform works best when content is designed for it
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 QuantaQuizПроектный трек — это спроектированная последовательность активностей, которую студент проходит от получения задачи до защиты проектного результата. Трек отвечает на вопрос «что конкретно делать каждую неделю» и превращает расплывчатое «делайте проект» в понятный маршрут с чек-поинтами и критериями оценки.
По опыту основателя EdUnit (75+ вузов через платформу Университет 20.35), отсутствие проектного трека — причина номер один провалов в проектном обучении. Когда 10 наставников ведут проект по-разному, результат непредсказуем, а администрация не может оценить эффективность PBL.
Проектный трек состоит из 5–8 этапов, каждый из которых имеет:
Пример для семестрового трека:
Важно различать:
Дисциплина без трека — как расписание поезда без маршрута. Есть время отправления и прибытия, но куда едем — непонятно.
В 2026 году невозможно проектировать трек без учёта AI. Студенты будут использовать ChatGPT для исследований, генеративный AI для прототипирования, QuantaQuiz для самопроверки. Вопрос — не «запретить или разрешить», а «на каком этапе и с какими правилами».
Мы интегрируем AI в каждый этап трека с чёткими правилами: что можно делегировать AI, что нельзя, как цитировать AI-сгенерированный контент. Это учит студентов не только использовать AI, но и критически оценивать его результаты — навык, который требует работодатель.
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.
| 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 |
University wants project-based learning but doesn't know where to start? Consulting from curriculum audit to faculty training and assessment design. Track record: 75+ universities, University 20.35 methodology.
60% of faculty are over 50, yet administration mandates AI adoption. 4-hour hands-on training: ChatGPT, NotebookLM, Perplexity for lesson prep, grading, and detecting AI plagiarism. Experience across 75+ universities.
Test from any material in 2 minutes instead of 2 hours. AI generation aligned with Bloom's taxonomy, unique variants, instant grading — in Russian.