Learning Progress Tracking System for LMS

Our company is engaged in the development, support and maintenance of sites of any complexity. From simple one-page sites to large-scale cluster systems built on micro services. Experience of developers is confirmed by certificates from vendors.

Development and maintenance of all types of websites:

Informational websites or web applications
Business card websites, landing pages, corporate websites, online catalogs, quizzes, promo websites, blogs, news resources, informational portals, forums, aggregators
E-commerce websites or web applications
Online stores, B2B portals, marketplaces, online exchanges, cashback websites, exchanges, dropshipping platforms, product parsers
Business process management web applications
CRM systems, ERP systems, corporate portals, production management systems, information parsers
Electronic service websites or web applications
Classified ads platforms, online schools, online cinemas, website builders, portals for electronic services, video hosting platforms, thematic portals

These are just some of the technical types of websites we work with, and each of them can have its own specific features and functionality, as well as be customized to meet the specific needs and goals of the client.

Our competencies:

Development stages

Latest works

  • image_website-b2b-advance_0.png
    B2B ADVANCE company website development
    1262
  • image_web-applications_feedme_466_0.webp
    Development of a web application for FEEDME
    1171
  • image_websites_belfingroup_462_0.webp
    Website development for BELFINGROUP
    874
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1094
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    831
  • image_bitrix-bitrix-24-1c_fixper_448_0.png
    Website development for FIXPER company
    851

LMS Progress Tracking System Development

Progress Tracking in LMS is more than "completed X of Y lessons." Full system tracks second-level activity, analyzes learning patterns, and identifies students at risk of dropping out.

What and How to Track

Lesson level:

  • Open and close times
  • Video completion % (not just "opened" but "watched 85%")
  • Text content scrolling
  • Interactive element clicks

Course level:

  • % completed lessons
  • % completed assignments
  • Last activity date
  • Streak (consecutive days)

Platform level:

  • Average session length
  • Device types and peak activity times
  • Cohort retention (% students active after 7/14/30 days)

Data Model

CREATE TABLE lesson_progress (
  id              UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  student_id      UUID REFERENCES users(id),
  lesson_id       UUID REFERENCES lessons(id),
  course_id       UUID REFERENCES courses(id),
  status          VARCHAR(30) DEFAULT 'not_started', -- not_started, in_progress, completed
  started_at      TIMESTAMPTZ,
  completed_at    TIMESTAMPTZ,
  video_progress  JSONB,  -- { "duration_ms": 3600000, "watched_ms": 3060000 }
  time_spent_secs INTEGER,
  created_at      TIMESTAMPTZ DEFAULT NOW()
);

CREATE INDEX idx_lesson_progress_student ON lesson_progress(student_id, created_at);

Event Tracking (Client)

// Track video progress every 30 seconds
video.addEventListener('timeupdate', debounce(() => {
  fetch('/api/lessons/track/video-progress', {
    method: 'POST',
    body: JSON.stringify({
      lessonId,
      currentTime: video.currentTime,
      duration: video.duration,
    }),
  });
}, 30000));

// Track lesson completion
async function completeLesson(lessonId) {
  await fetch(`/api/lessons/${lessonId}/complete`, {
    method: 'POST',
    body: JSON.stringify({ completedAt: new Date() }),
  });
}

Risk Detection

-- Students at risk of dropping out
SELECT u.id, u.email, c.name, datediff(day, lp.started_at, NOW()) AS days_inactive
FROM lesson_progress lp
JOIN users u ON u.id = lp.student_id
JOIN courses c ON c.id = lp.course_id
WHERE lp.status = 'in_progress'
  AND datediff(day, lp.started_at, NOW()) > 14
  AND u.email NOT IN (SELECT email FROM support_tickets WHERE status != 'closed')
ORDER BY days_inactive DESC;

Timeline

Basic progress tracking—3–5 days. Risk detection with notifications—1–2 weeks.