Adaptive Corporate Training Programs

Why standard courses fail for corporate training

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Same training for different people — 70% of budget wasted

According to Ekvio research (2024), 51% of Russian companies still don't use an LMS, and those that do see completion rates below 30%. New hires and experienced staff go through the same course. New hires lack context, veterans are bored. Motivation drops, training budget evaporates.

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Training ends — knowledge disappears in 7 days

The Ebbinghaus forgetting curve works against you: within 7 days, employees retain less than 20% of material (Murre & Dros, 2015, PLOS ONE). Without a repetition system, every dollar invested in training loses value within a week.

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HR sees a checkbox, not actual competency levels

The average Russian company spends 46,800 RUB per employee per year on training (RSU, 2024). Yet HR sees only «course completed» but cannot answer which specific script sections a given employee fails. No data means no surgical gap-closing.

How adaptive programs solve these problems

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Branching by results

• Each employee follows an individual path based on their answers
• New hires get 7-9 tasks and go through repeat cycles
• Experienced staff get 1-2 tasks every few months
• The system does not waste time on what someone already knows

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AI grades open answers against your documents

• Employees formulate answers in their own words — not pick from options
• AI relies on your policies and methodology docs (RAG technology)
• Grading cost is tens of times lower than a human expert
• For critical tasks — a multi-layered system: AI + expert review

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Spaced repetition

• The system resurfaces material at increasing intervals
• Repetition adapts: forgotten items come back sooner, mastered ones later
• Knowledge sticks in long-term memory instead of fading within a week

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Analytics per employee

• Managers see specific gaps, not just pass/fail
• Per employee: what is assigned, what is completed, where knowledge is weak
• Data export: built-in analytics, CSV, database dump

Who benefits from adaptive training programs

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HR & L&D Leaders

Completion rate below 30%, workshops don't stick, nothing to show leadership

A branching program with spaced repetition that employees actually complete. Transparent analytics per person.

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SMB Leaders Without an L&D Team

No time to evaluate platforms, but 200 people need to learn new scripts within a month

EdUnit handles instructional design and setup — you provide the policies. Training runs in Telegram, no LMS deployment needed.

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Companies With Distributed Teams

Staff in warehouses, field offices, production lines — can«t gather for workshops, won»t open an LMS

Tasks arrive in Telegram, 3-5 minutes each, without leaving the job. The one channel they will reliably open.

How to launch an adaptive program

1

Discovery

1-3 days

You describe the task: who to train, on what, by when. We analyze your policies and define the program structure.

2

Design

3-7 days

We build the assignment graph with branching: entry points by level, forks by results, repetition cycles. You approve the structure.

3

Launch

2-5 days

We load the program into EdUnit Bot, configure AI grading against your documents, and set up learning cohorts.

4

Support & Iteration

ongoing

We analyze initial results, adjust difficulty and routes. You see per-employee analytics in real time.

What you get

Assignment graph with flexible routes between nodes

Branching by results: each learner takes their own path

AI grading of open answers against your policies (RAG)

Spaced repetition — the system prevents forgetting

Delivered on the EdUnit Bot platform in Telegram

Научная база адаптивного обучения

Три принципа из когнитивной психологии, на которых строится подход:

Интервальное повторение увеличивает запоминание на 50-150% (Cepeda et al., 2006, Psychological Bulletin)
Персонализация маршрута снижает время обучения на 30-50% (U.S. Department of Education)
Активное воспроизведение улучшает запоминание на 50-70% по сравнению с тестами (Karpicke & Blunt, 2011, Science)

The science behind adaptive learning

Three cognitive psychology principles that drive the approach:

Spaced repetition increases retention by 50-150% (Cepeda et al., 2006, Psychological Bulletin)
Path personalization reduces learning time by 30-50% (U.S. Department of Education)
Active recall improves retention by 50-70% vs. multiple-choice tests (Karpicke & Blunt, 2011, Science)

Case Study

IUCA — adaptive learning at an international university

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Problem

An international university (IUCA) faced a common challenge: students with different preparation levels going through identical courses. Faculty couldn't provide individual feedback to 200+ students.

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Solution

EdUnit designed an adaptive program using EdUnit Bot and QuantaQuiz: entry-level testing determines proficiency, branching routes each student individually, AI grades open answers. Flipped classroom format — theory in the bot, practice in class.

✅

Result

Students began receiving personalized feedback 24/7. Faculty freed up time from routine grading to work on individual requests. The format scales to new cohorts without increasing faculty workload.

Program Development

from $2,000

✓ Policy analysis and assignment graph design
✓ Branching and spaced repetition configuration
✓ AI grading based on your documents (RAG)
✓ First cohort launch and calibration

Discuss your project

Ongoing Support

from $200/mo

✓ Results analysis and path adjustment
✓ Content and task updates
✓ EdUnit Bot technical support
✓ Monthly analytics report

Learn more

FAQ

What is adaptive learning and how does it differ from a regular online course?

Adaptive learning is a corporate course with automatic path personalization. An online course is linear: everyone goes through the same material in the same order. An adaptive program is a branching graph: each employee follows their own path based on their answers. Plus, spaced repetition prevents forgetting.

Do we need an LMS to launch an adaptive program?

No. The program runs on the EdUnit Bot platform in Telegram. Employees receive tasks as regular messages. No apps to install, no logins or passwords to remember.

How long does it take to develop an adaptive training program?

From discovery to the first cohort launch — 1 to 3 weeks. Depends on content volume and branching complexity. Minimum group size: 10 employees.

How does AI grade employees' open-ended answers?

AI relies on your policies and methodology documents (RAG technology). The employee writes an answer in their own words, AI evaluates it against criteria and provides detailed feedback. For critical tasks, expert review is added. AI grading costs tens of times less than manual review.

What if we don't have ready-made training content?

That's normal. The EdUnit team designs the program based on your policies, scripts, and internal documents. You provide the materials — we turn them into an adaptive learning path. Content development is included in the project cost.

What completion rate can we expect from an adaptive program?

The average completion rate for linear online courses is 20-30%. Adaptive programs significantly boost completion thanks to three factors: microformat (3-5 minutes per task), personalized path, and delivery via Telegram — the messenger employees already use.