Canvas LMS: Learning Analytics for Enhanced Assessment

One alternative form of assessment that is gaining attention is the use of learning analytics within a Learning Management System (LMS) such as Canvas. Instead of relying solely on traditional quizzes or exams, instructors can use the data generated by students’ interactions with the LMS to monitor progress, provide feedback, and guide learning.

Description

Canvas LMS tracks student engagement in multiple ways—such as time spent on modules, participation in discussions, assignment submissions, quiz attempts, and access frequency. These metrics are compiled into dashboards for both teachers and learners. Through tools like “Analytics Beta” and course reports, educators can identify patterns of engagement, predict risks of underperformance, and intervene early with targeted support.

Analysis

Strengths

• Continuous feedback: Provides ongoing data instead of one-time test results.
• Early intervention: Helps identify students at risk based on participation or inactivity.
• Personalization: Data can be used to tailor instruction and assessment pathways.
• Transparency: Students can view their own analytics, encouraging self-regulation.

Weaknesses/Limitations

• Data interpretation: Teachers need training to make sense of analytics; raw numbers alone may mislead.
• Equity concerns: Low engagement may reflect external barriers (connectivity, device access) rather than learning ability.
• Overemphasis on “clicks”: Engagement does not always equal understanding; analytics must be paired with qualitative measures.

Why it is an “Alternative” Assessment

Unlike summative tests that measure learning at the end, learning analytics provides a formative, process-oriented assessment that reflects how learning is happening, not just what is achieved. It turns routine digital traces into opportunities for assessment for learning—supporting reflection, feedback, and instructional improvement.