Swiftask connects your ClassMarker exams to your business tools. Receive an intelligent analysis of every result and identify learner gaps in real time.
Result:
Save hours on grading and reporting. Make data-driven pedagogical decisions.
AI Agents
classmarker
Connector classmarker · Secure OAuth 2.0
Extracting data from ClassMarker, compiling it into spreadsheets, and analyzing individual performance is a time-consuming task. Pedagogical teams waste precious time processing numbers instead of supporting learners.
Main negative impacts:
Delayed feedback loops
Manual analysis delays feedback to learners, reducing the pedagogical impact of the test.
Underutilized data
Without AI processing, progress trends and recurring knowledge gaps often go unnoticed.
Heavy administrative processes
Manual compilation significantly increases the risk of errors and data loss.
Swiftask automates your ClassMarker score analysis. As soon as a test is submitted, the AI agent processes the data, generates a performance diagnostic, and sends insights where you need them.
BEFORE / AFTER
The manual processing standard
The instructor waits for the test session to end. They download a CSV export, clean the data, calculate averages, write a comment for each student, and send individual emails. This process takes hours and is prone to human error.
The Swiftask + ClassMarker approach
As soon as a learner finishes their ClassMarker test, Swiftask retrieves the score, analyzes it against objectives, and generates a personalized report sent instantly to the instructor or the learner.
1
STEP 1 : Link ClassMarker to Swiftask
Connect your ClassMarker account via webhook or API to allow Swiftask to receive results in real time.
2
STEP 2 : Define your analysis rules
Configure your AI agent to interpret scores: success thresholds, identifying weak topics, and revision recommendations.
3
STEP 3 : Configure data outputs
Determine where to send the analysis: CRM, LMS platform, Slack, email, or tracking dashboard.
4
STEP 4 : Launch and optimize
The agent processes every result automatically. Adjust AI prompts to refine the relevance of pedagogical analyses.
The AI evaluates not just the global score, but also competence mastery, time spent per question, and recurring incorrect answers.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-classmarker@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Learners receive their personalized diagnostic seconds after submitting their test.
Adapt your teaching interventions based on detailed insights provided by the AI.
Consolidate your ClassMarker results with the rest of your business tools effortlessly.
Eliminate repetitive tasks of grading and manual score entry.
Every analysis is archived, ensuring complete tracking for your quality audits.
Swiftask applies enterprise-grade security standards for your classmarker automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Analysis time | Several hours (manual) | Instant (automated) |
| Feedback accuracy | Generic and limited | Personalized and detailed |
| Error rate | Risk linked to manual entry | Zero processing errors |
| Learner engagement | Low (delayed feedback) | High (immediate feedback) |
Save hours on grading and reporting. Make data-driven pedagogical decisions.