The SD9UP Dashboard supports schools and districts to examine trends in whether students are on track for college and career readiness. Data are updated several times a year corresponding to a six week grading period on a traditional semester schedule. Most of the tables, charts, and maps in this report are interactive. Tables can be sorted by clicking on column headings. Maps and charts can be sorted, zoomed, selected, etc. using the mouse cursor and data will appear when hovering or clicking the mouse cursor. Controls will appear at the top right corner of charts when the mouse cursor is placed on the chart. The data used to create the charts on this dashboard are also available for download.
360
199
84%
90%
1.97
A first-time 9th grade student in SD9UP is considered On-Track if he or she earns a passing grade in English and math, and at least one passing grade in science or social studies. Below are the percentages of students on-track overall, by English Learner Status, and for students who have been suspended at least once during the quarter.
These rates show the raw numbers of students on and off track by demographic markers. The rate ratio column compares on track students to off-track students for the respective group. The rate ratio is how many times more the risk of not graduating is for off-track students compared to on-track students.
| Group | On-Track Count1 | Off-Track Count | On-Track Rate2 | Off-Track Rate | Rate Ratio3 |
|---|---|---|---|---|---|
| American Indian | 11 | 33 | 25% | 75% | 3.00 |
| Black | 12 | 51 | 19% | 81% | 4.25 |
| Middle Eastern | 84 | 32 | 72% | 27% | 0.38 |
| English Learner | 39 | 73 | 35% | 65% | 1.87 |
| SPED | 10 | 36 | 22% | 78% | 3.60 |
| SED | 33 | 79 | 30% | 70% | 2.39 |
Data Notes for Most Recent Grading Period
1These data include 45 day counts of students on and off-track by demographic group. The student must be enrolled and attending school for the full 45 days to be included. 2The on- and off-track rates are calculated using the total count of students from each demographic group and the counts of on and off-track students. 3The rate ratio calculation involves dividing the number of off-track students by the number of on-track students, which provides a ratio for the two groups. The rate ratio is interpreted as how many times more the risk of not graduating is for off-track students compared to on-track students.
This scatterplot is designed to identify students who are on- and off-track to meet college and career readiness requirements by credits earned and GPA by the end of 9th grade. This dashboard can be used to identify students who are off-track due to low credits, GPA, or both. The dashboard visualizes students by credits earned and GPA where each colored dot represents a student by race/ethnicity. The horizontal and vertical lines divide students into four groups based on the assumption that students will earn at least 40 credits by the end of their freshman year and have a 2.75 GPA. The top right quadrant represents students on-track to meet college and career readiness requirements and the bottom left represents students off track to meet the requirements.
These two bargraphs illustrate the number of students with Fs by department, which allows us to determine which departments assign the most Fs. You can toggle on and off the department from the legend to compare fewer options. The right barchart illustrates the number of Fs by student group. We can use it to compare differences in F’s across race/ethnicities, which allows us to determine which group has a higher risk of falling off track.
These plots below are similar to histograms and show the range of off-track students (e.g., from 0 - 20 per department) and the percentages of these off-track students at different point values. The height of the curve can be interpreted as the highest percentage of the value directly underneath the peak. These curves allow us to compare the frequency of off-track students across departments, where some departments have a higher percentage of off-track students at a particular interval (i.e., curve is peaked) compared to departments with greater variability or more off-track students across the full range of values (i.e., flatter curve). Furthermore, comparing the point values of the highest peaks across departments, allows us to ascertain which departments have a higher frequency of off-track students compared to other departments.
Many contextual factors influence whether a student stays on track for college and career readiness. Mapping off-track students allows us to understand how geography affects student performance. Some students are nested in areas where a larger percentage of students are off track; other students travel great distances to get to school so absences might be a reason for falling off track. Each red dot on the map indicates an off-track student and the location where that student lives. By hovering over the dot, you can observe the student’s name, address, and the student’s counselor.
Assigning grades to student work is a longstanding practice in all levels of education. A focus of SD9UP is to raise awareness within the network of the rationale for the grades teachers assign to their students’ coursework. Such discussions reveal practices that both enhance the integrity of the grading system and improve student on-track success. Below are grade distributions for teachers at Granite Hills High School.
We obtain teacher grades from the school district on a quarterly basis. We first determine the number of letter grades each teacher assigns. Then, we create a stacked bar chart where each colored section of the bar represents a percentage of the letter grade assigned. In the chart below, the percentages of each letter grade are arrayed from the the lightest color (representing As) to the darkest color (percentage of Fs along the right margin). The graph is also arrayed so that the teachers assigning the lowest percentages of Fs are at the top of the chart, with the percentage of Fs increasing as you read down the graph. Hovering over the graph provides more detailed information about each letter grades percentage.
A scatter plot visualizes two items plotted on one graph. The total number of grades assigned by teacher are arrayed along the bottom of the graph and the number of assigned Fs along the y-axis. The colored dots represent the department in which the teacher works. By hovering over each dot, you can observe the number of grades assigned, the number of Fs assigned, and the teacher’s last name. Clicking on the legend allows you to toggle on and off the different departments.
This dotchart illustrates course pass rates for two time periods: 2018 and 2022. The darker blue dot represents the 2018 year while the lighter blue dot represents 2022. Course pass rates have improved when lighter blue dots are to the right of the darker blue dot. By hovering over each dot, you can observe the pass rate. Clicking on the legend allows you to toggle on and off the different years
Below is a table of students off-track to graduate college and career ready as of December 22, 2021. The table is searchable by column; by clicking inside one of the search boxes, you can find a student by id number, first or last name, by teacher or department. You can copy, print, or download (.csv or .pdf) the list by selecting the corresponding button at the top of the table.