Understanding activity analytics in Flint

See your students' performance on any Flint activity, with AI-powered automated feedback, classroom insights, and detailed activity analytics.

Written by Sun Paik
February 5, 2026

Activity Analysis

The Activity Analysis section provides a summary of how your class performed overall. Once three or more students submit their sessions, Flint generates classroom-level insights that highlight:

• Strengths demonstrated across the class
• Common areas where students need improvement
• A suggested follow-up activity based on student performance

These insights help you quickly understand where students are excelling and where additional instruction or practice may be needed after the activity.

Where does Sparky pull context for its activity analysis?

Within this section, you’ll notice certain phrases highlighted or color-coded. Clicking into these highlights shows the specific student responses that contributed to each insight. This makes it easy to trace classroom trends back to individual evidence, so you can see which students are struggling or excelling with particular skills.

What is the "Create a follow-up activity" button?

From the follow-up area, you can also choose to create an AI-generated follow-up activity. For example, if students were successful at identifying literary devices but struggled to apply metaphors and similes, Sparky can generate a targeted activity focused on practicing those concepts in more depth.

Needs Attention and Live Alerts

The Needs Attention section shows live alerts as students are working on the activity. These alerts are generated in real time based on how students are interacting with Sparky and whether they appear stuck, disengaged, or in need of support.

• Alerts appear while students are still working
• Each alert shows which student needs attention and when
• Clicking an alert takes you directly to the moment in the session where support may be needed

This allows you to step in quickly without having to open every student session manually. A separate Help Center article goes deeper into how live alerts work and how to respond to them. Learn more about live alerts here.

Sessions (Individual student work)

The Sessions section lists every student session associated with the activity. Each session includes high-level details such as:

• Predictive grade
• Time spent on the activity
• Submission status and timestamps
• Student name

You can download session data as a CSV or click into any session to view it in full.

Inside an individual session, you’ll see the complete transcript of the student’s interaction with Sparky.

After submission, Flint also provides student-level session analytics, including:

• Individual strengths
• Areas for improvement
• A suggested follow-up activity for that student

These session insights are the individual version of what you see at the classroom level in Activity Analysis and are especially useful for grading, feedback, and conferencing. Learn more about session analytics here.

Using Activity Analytics in your teaching workflow

Activity Analytics are designed to help you move from insight to action. By combining classroom-wide trends, real-time alerts, and detailed student sessions, you can:

• Identify learning gaps earlier
• Provide targeted support while students are working
• Plan follow-up activities based on real performance data
• Better understand student thinking beyond final answers