A clear example of a learning and assessment environment with embedded learning analytics is the Canvas Learning Management System (LMS), widely used by schools and universities to support teaching, assessment, and learner monitoring. Canvas captures a wide range of learner activity data—such as course access, assignment submissions, quiz results, discussion participation, and time spent on tasks—and uses this to generate analytics reports and dashboards that inform both instructors and students about learning progress and engagement. Instructure

In how it works, Canvas continuously collects interaction data as students engage with course materials and complete assessments. This raw data feeds into Canvas’s built‑in analytics features and associated tools like Canvas Data or Data Insights, which provide visual dashboards and customizable reports. Educators can see course‑level trends (e.g., how many students have completed key assignments), identify learners who may be at risk due to low engagement or missed deadlines, and generate predictive indicators to prompt early interventions. Administrators can also extract data for deeper analysis or integrate Canvas with third‑party analytics tools to combine LMS data with student information systems for institution‑wide insights. Instructure+1

The effects of using embedded analytics in Canvas are multifaceted. For instructors, access to detailed performance and engagement metrics enables more data‑driven decisions about pacing, content revision, or targeted support, potentially improving instructional effectiveness and student outcomes. Analytics can help identify students with low engagement early, so educators can intervene before failure or dropout, and can inform course design by showing which activities most strongly correlate with progress. Students themselves can benefit when analytics are used to provide timely feedback on progress and areas needing improvement, promoting metacognition and self‑regulation. Research also suggests that analytics can correlate engagement data—like frequency of activity and participation in discussions—with learning performance in online environments, potentially enhancing learning if interventions are informed by these insights. MDPI

However, systematic reviews of learning analytics dashboards in education note that while analytics are widely deployed, evidence of strong effects on overall achievement, motivation, or attitude is mixed—many studies report small or negligible impacts, and analytics effectiveness can depend heavily on how data is interpreted and used by instructors and learners. arXiv

In summary, Canvas LMS exemplifies how learning and assessment environments can integrate analytics to track learner activity and assessment performance, supporting early intervention, instructional planning, and learner reflection, though the real‑world educational impact varies with implementation and context.