Provide automated personalized feedback after every ClassMarker exam
Swiftask analyzes your ClassMarker test results and instantly generates individualized feedback for every learner.
Result:
Boost student engagement and progress without increasing your administrative workload.
AI Agents
classmarker
Connector classmarker · Secure OAuth 2.0
Manual grading limits your feedback quality
Personalized feedback is essential for learning, but it is extremely time-consuming when done manually. Instructors often default to generic messages, which diminishes educational value and student motivation.
Main negative impacts:
Generic and demotivating feedback
Standardized responses fail to address specific student needs, limiting their actual improvement.
Excessive processing delays
Students often wait days for an analysis of their mistakes, losing the immediate pedagogical benefit.
Overwhelming administrative burden
Time spent writing individual comments prevents trainers from focusing on pedagogical design.
Swiftask automates the generation of qualitative feedback based on ClassMarker results. AI identifies weak points and writes targeted advice in real time.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask
After an exam, the instructor exports scores, manually analyzes each student's mistakes, writes a personalized email, and sends it. This takes hours or days for large groups.
With Swiftask + ClassMarker
As soon as an exam is finished, Swiftask retrieves data via the ClassMarker webhook, generates in-depth pedagogical feedback via AI, and sends it automatically to the student.
Deploying your feedback system in 4 steps
1
STEP 1 : Initialize the AI agent in Swiftask
Create an agent dedicated to pedagogical analysis. Provide your grading guidelines and communication tone.
2
STEP 2 : Integrate ClassMarker via Webhook
Configure the results webhook in ClassMarker to send test data directly to Swiftask.
3
STEP 3 : Define feedback logic
Configure AI prompts to analyze incorrect answers and suggest adapted remediation resources.
4
STEP 4 : Automate message delivery
Connect your messaging or email tool so the student receives feedback immediately upon test completion.
Pedagogical analysis capabilities
The agent analyzes errors by skill, time spent per question, and deviations from the group average.
- Target connector: The agent performs the right actions in classmarker based on event context.
- Automated actions: Automatic summary drafting, suggestion of complementary resources, personalized encouragement, alerts to trainers in case of critical failure.
- Native governance: All generated feedback is archived in Swiftask to track the progress of each learner over time.
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.
Key benefits for your training
Accelerated learning
Immediate feedback allows the learner to correct mistakes while the exam context is fresh.
Personalization at scale
Every student receives a unique response, even within cohorts of thousands.
Increased productivity
Eliminate repetitive writing tasks to focus on human accompaniment.
Analytical tracking
Identify concepts poorly understood by the entire cohort using consolidated data.
Compliance and quality
Ensure perfect pedagogical consistency in all feedback sent.
Data privacy and integrity
Swiftask applies enterprise-grade security standards for your classmarker automations.
- Encrypted data: Result data travels through secure connections between ClassMarker and Swiftask.
- Sovereign hosting: Your pedagogical data is processed in compliance with GDPR standards.
- Model control: You choose the LLM models used for feedback generation, without exposing private data.
- Continuous audit: Complete history of interactions to ensure the quality of provided pedagogy.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your pedagogical performance
| Metric | Before | After |
|---|---|---|
| Feedback time | 2 to 5 days | Instant |
| Feedback volume | Limited by human time | Unlimited |
| Student engagement | Low read rates | Very high (personalized feedback) |
| Operational cost | High (human grading hours) | Reduced (automation) |
Take action with classmarker
Boost student engagement and progress without increasing your administrative workload.