⏱️ The Essentials in 3 Minutes |
🧠 Understand the Value of Activity Logs
Activity logs are the backbone of learning analytics. They answer three key questions:
How much time are my learners actually spending learning? (not just time with the tab open)
Where do they drop off? At which module, chapter, or test?
How do I justify activity to a funder or auditor?
📌 Example: analyzing a 5-module compliance course. You download the logs to identify learners who dropped off at module 3. You spot an overly dense chapter, rework it, and completion rates rise by 20%.
⚙️ Understand How Didask Measures Active Engagement
Didask does not simply check whether a page is open - the platform measures the learner's actual active time.
Activity detection: the platform automatically detects when a learner interacts with the page.
Regular ping: a signal confirms the learner is still engaged.
Standard Didask modules (granules, intro, evaluations): verification every 30 seconds.
SCORM modules: verification every 9 seconds.
Automatic pause after 15 minutes of inactivity: tracking stops, then resumes at the first interaction.
Finalization: at every section change or tab close, the current activity period is closed and recorded.
⚠️ Logs reflect active engagement, not time the tab stayed open without interaction. This is what makes the data reliable for audits.
📊 Identify What Is Recorded
The system records time spent on each step of the course, at three levels.
Level | Tracked activities |
Training | Introduction, table of contents, challenges, flashcards, certificate. |
Modules | E-learning, SCORM, take home assignment, in-person module, evaluation. |
Tests | Placement tests, adaptive sessions, assessments (current and archived). |
💡 Each log entry specifies the learner's identity, activity type, exact location (course, module, chapter), and precise timestamps (start and end).
📥 Choose the Right Export Mode
Three export modes depending on your analysis angle.
Mode | Output format | Best for |
Publication statistics | ZIP with 1 log file per learner. | Analyzing all learners in a given training course. |
Admin report | ZIP organized by folders. | Tracking a selection of learners across multiple training courses. |
User profile | ZIP with 1 file per publication. | Getting the complete history of a single learner. |
💡 Export is asynchronous: once launched, you receive a Didask notification and an email as soon as the files are ready.
📄 Identify the Data in the Excel File
Each export is in Excel format, with the following columns:
Learner name, email, and ID.
Training name and step concerned.
Start and end timestamps.
Time spent (in seconds) and cumulative time.
Completion percentage.
💡 The Excel format makes it easy to filter, cross-reference, and import data into your internal tools (BI, data lake, HRIS).
Keywords: learner logs, activity logs, Excel export, engagement time, 30-second ping, 15-minute pause, publication statistics, user profile, admin report, traceability.