In this article, you can find information about:
- Definitions for metrics in Student Outcomes
- Definitions for metrics in Implementation Practices
- Suggestions on how to use the School Data Dashboard
Definitions for metrics in Student Outcomes
Courses |
% of students that are on-track in their courses (these students have no overdue projects/Math Units, Cognitive Skills or math concept averages below 70%, and no off-track Focus Areas). |
Overdue Projects |
% of students who have overdue projects in any of their courses. Like the Power Focus Area metric, this shows the number of total overdue projects across all courses, not the number of overdue projects in each course. |
Cog Skills |
% of students with an average Cognitive Skill percentage of 85% or above across all of their courses. It’s possible for a student to have an average that is below 70% in one or more courses even if their overall average across all courses is higher. Note: A Cognitive Skill average of over 70% indicates that a student is passing minimum requirements, while an average of over 85% indicates that they are on grade level. |
Math Units |
% of students with an average Math Unit score of 80% or above. Because students are typically only in one math course, this metric is often simply the students’ concept percentage in that math course. Note: A concept average of over 70% indicates that a student is passing minimum requirements, while an average of over 80% indicates that they are on grade level. |
Power Focus Areas On Track |
% of students who are on track in Power Focus Areas across all of their courses. The pace at which the students are passing is on-track toward completing all Focus Areas by the end of the year. This metric also shows the number of students who are off track by a certain number of focus areas.
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Definitions for metrics in Implementation Progress
Student Platform Activity Metrics
Note: In the Student Platform Activity section, students will only appear in one of the four categories. The four percentages will total to 100% of your total number of students enrolled in academic courses on the platform. |
Active in the Last Instructional Day |
% of students who were active on the platform in the last instructional day (note: we determine the last instructional day as one instructional day before the data was updated. You can find the date of the last update at the top of each dashboard page). Examples:
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Active Between 1 and 5 Instructional Days |
% of students who were active on the platform 1-5 instructional days ago. These students were not active in the last instructional day. Examples:
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Active Between 5 and 10 Instructional Days: | % of students who were active on the platform 5 - 10 instructional days ago.
Examples:
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Not Active in the Last 10 Instructional Days |
% of students who have not been active on the platform in the last 10 instructional days. Examples:
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Project and Math Unit Based Learning | Checkpoints submitted in last 2 weeks | % of students who have requested feedback on a Checkpoint or math Cool-down in any of their courses in the last 10 instructional days. |
Checkpoint feedback given in last 2 weeks | % of students who received red/yellow/green or incomplete feedback on any Checkpoint or math Cool-down in the last 10 instructional days. | |
Comment feedback given in last 4 weeks | % of students who received a Notebook comment that is tagged with a Cognitive Skill and also marked as "needs revision" in the last 4 weeks. (Math Units will show as N/A because they do not have Notebooks and therefore this metric does not apply.) | |
Projects Submitted But Not Scored | % of students who have submitted a project or Math Unit, but it has not yet been scored. | |
Projects Currently Assigned | % of students who currently have at least one project or Math Unit assigned to them in any of their courses. This metric is pulled from projects with any status (submitted/resubmitted/not submitted) that are not past their due date. | |
Last Project Assigned | The most recent date that any project or Math Unit was assigned to a student. | |
Mentoring | Set Goals in Last Week |
% of students who have set a goal in the last 5 instructional days. |
Checked-In In Last 2 Weeks |
% of students who have had a mentor check-in in the platform in the last 10 instructional days. |
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Checked-In In Last 4 Weeks |
% of students who have had a mentor check-in in the platform in the last month. |
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Average Check-In Length During Last 4 Weeks |
The average length of mentor check-ins from the last 20 instructional days. |
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Self-Directed Learning | Assessment Taken in the Last 2 Weeks | % of students who have taken an assessment on a power, additional, or challenge Focus Area in any of their courses in the last 10 instructional days. |
Suggestions on how to use the School Data Dashboard
Better understand student progress and teacher implementation
Activity |
How to |
Identify trends in student outcomes |
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Identify trends in implementation |
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Identify trends over time |
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Prepare for grade-level team meetings
Activity |
How to |
Compare student progress across different grade levels |
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See overall patterns in student outcomes and Summit implementation |
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Identify students who need more support and those who are ready to progress faster |
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Identify teachers who need more support or those who could be exemplars for others |
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Identify teachers, courses, or mentors whose students are struggling in achieving course outcomes |
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To prepare for coaching meetings with a teacher
Activity |
How to |
Assess student progress in a teacher’s course |
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Assess a teacher’s implementation of project-based learning and self-directed learning |
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Assess student progress in the teacher’s mentor group |
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Assess the teacher’s implementation of mentoring |
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See detailed information about the teacher’s assigned projects/Math Units and Checkpoints |
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Identify a group of students that will need intervention
Activity |
How to |
Identify students who are behind overall within each grade level |
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Identify students who are behind on a certain outcome (i.e. projects, PFAs, Cognitive Skills) |
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