Swiftask triggers your remedial workflows the moment a result is published on ClassMarker. Your students are guided instantly.
Result:
Eliminate manual data entry. Ensure personalized and responsive support for every learner.
AI Agents
classmarker
Connector classmarker · Secure OAuth 2.0
Processing ClassMarker results one by one to schedule support sessions is a heavy burden. Between analyzing scores and updating calendars, the response time is too long, hindering effective support.
Main negative impacts:
Excessive processing delays
Time spent correlating results and remedial needs delays the start of personalized support.
Risk of human error
Manual scheduling increases the risk of misallocating resources or forgetting to follow up.
Lack of scalability
As the number of learners grows, the administrative burden of scheduling becomes unsustainable for your team.
Swiftask automates the link between ClassMarker and your scheduling tools. Once a score threshold is reached, the agent automatically triggers the creation of a remedial session.
BEFORE / AFTER
The manual way
A teacher exports ClassMarker results, identifies struggling learners, checks available calendars, sends invitations via email, and updates a tracking spreadsheet. A long and repetitive procedure.
Automation with Swiftask
As soon as a test is completed on ClassMarker, Swiftask analyzes the result. If the score is insufficient, the agent automatically books a remedial slot and notifies the learner.
1
STEP 1 : Define your remedial criteria
Configure in Swiftask the ClassMarker score thresholds that automatically trigger a remedial session.
2
STEP 2 : Connect your calendar tools
Link your scheduling platform (Google Calendar, Outlook, etc.) to your Swiftask agent.
3
STEP 3 : Set up the invitation flow
Define the automated messages that will be sent to learners to confirm their support session.
4
STEP 4 : Activate and monitor the flow
The agent processes results in real-time. Track activity and created sessions from your centralized dashboard.
The agent finely analyzes each ClassMarker result: overall score, performance per section, and history of previous attempts.
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.
Remediation is initiated immediately after identifying the need, without administrative delay.
Remedial slots are filled automatically, maximizing the use of your instructors' time.
Learners receive targeted help quickly, which boosts their motivation and chances of success.
Every learner receives the same level of follow-up, ensuring total educational fairness.
You have precise statistics on remedial needs and their effectiveness thanks to Swiftask logs.
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 |
|---|---|---|
| Scheduling delay | Several days | Instant |
| Administrative time | 10h/week | 0h (fully automated) |
| Follow-up rate | Uneven | 100% of needs covered |
| Targeting accuracy | Low | Maximum (based on scores) |
Eliminate manual data entry. Ensure personalized and responsive support for every learner.