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Unlocking Insights: The Power of Tracking Usage for Enhanced Performance & Learner Behaviour

In the digital age, data has emerged as an asset that drives informed decision-making and optimal performance. When it comes to educational platforms and services, tracking usage plays a pivotal role in understanding learner behaviour, improving engagement, and enhancing the overall learning experience.

MML enables you to Measure Learners Success and Quantifying Learning Outcomes

Tracking usage is more than a data collection exercise; it’s a gateway to unlocking insights that drive learning excellence. By leveraging data to understand learner behaviour, enhance engagement, support early intervention, and measure success, educational institutions and organizations can optimize their offerings and empower learners to achieve their full potential. As we harness the power of data-driven insights, let us recognize the role of usage tracking in shaping the future of learning and ensuring that learners thrive in an increasingly digital and data-driven world.

MakeMyLabs tracking using VM insights empowers administrators and trainers with valuable data-driven insights

Monitoring VM Metrics

VM insights allow tracking various metrics related to VM performance, such as CPU usage, memory consumption, disk I/O, network traffic, and uptime. These metrics help identify resource bottlenecks and performance issues.

Usage Patterns

By analyzing VM metrics over time, patterns of usage can be identified. Trainers and administrators can gain insights into peak usage hours, trends in resource utilization, and periods of inactivity.

Resource Allocation

· VM insights enable assessment of how well resources are allocated to different users or groups within the cloud lab environment. This analysis can help optimize resource allocation for improved efficiency.

Cost Optimization

By understanding VM usage patterns, administrators can make informed decisions on resource provisioning and optimize costs based on actual usage, avoiding over-provisioning or underutilization.

User Behaviour

· VM insights can help track user behavior within the lab, such as the types of experiments or tasks undertaken, time spent on each task, and the level of engagement with the lab resources.

Performance Optimization

· Identifying performance bottlenecks and inefficient VM configurations through insights allows administrators to fine-tune VM settings and improve overall lab performance.

Alerts and Notifications

VM insights often come with alerting capabilities that notify administrators of any abnormal behavior or critical issues, allowing them to take timely actions to resolve problems.

Resource Cleanup

Based on usage data, administrators can identify VMs that are no longer in use and perform automated cleanup or decommissioning to free up resources and reduce unnecessary costs.

Capacity Planning

By analysing VM usage trends and growth patterns, administrators can forecast future resource needs and plan for capacity expansion accordingly.

Ensure Early Intervention and Support by Identifying Challenges.

Usage tracking serves as an early warning system, alerting Trainers to potential challenges or hurdles that learners may encounter. By monitoring patterns such as drop-off rates, time spent on specific topics, or repeated attempts at certain activities, Trainers can intervene promptly to provide additional support, resources, or guidance. This proactive approach contributes to a more supportive and nurturing learning environment.

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