What kind of data should a TA collect to help monitor student progress?

• A. Student attendance alone.
• B. Observable behaviors, work quality, task completion, error patterns, and participation.
• C. Personal beliefs about students.
• D. End-of-year grades only.

Answer: (B)

Tracking student progress works best when you gather data that reflect actual learning across several dimensions, not just whether a student shows up or what you personally think about them. Collecting observable behaviors, work quality, task completion, error patterns, and participation gives a multi-faceted view of how understanding is developing over time. For example, you can see if a student consistently applies a strategy (behavior), produces work that is accurate and complete (quality), finishes tasks on time (completion), makes recurring mistakes that reveal a misconception (error patterns), and contributes to discussions or asks questions (participation). This combination lets you notice improvements, stagnations, or specific areas that need targeted support, so you can adjust guidance accordingly. Relying on attendance alone doesn’t reveal learning, personal beliefs aren’t objective data, and end-of-year grades only show the final outcome, missing the trajectory of progress throughout the term.