Export
See details about how course content at your institution is performing and evolving. You can export Ally CSV reports by academic year, by month, by term, by courses, and for individual courses.
An Export button is available on these report pages:
Overview tab: Download the courses, months, terms, and years reports.
Courses tab: Download the courses, months, terms, and years reports.
Individual course: Download a report for the specific course.
You can also choose to export the csv by a specific date range with the Date Range filter. Selecting a date range will limit your CSV download for that specific time period. Select All historical data to export the entire data set as normal. Months, Terms and Year reports will be filtered by date. The courses.csv will be filtered by the ‘Observed Deleted on’ date and will not include courses that were marked as deleted outside of your chosen date range. Please note that individual course reports (exported for a specific course) cannot currently be filtered by date.
Overview
Ally accessibility reports are exported as CSV file. These CSV files provide detailed data about the items with issues in your LMS courses. But what does this data mean?
In the courses, months, terms and years exports, rows are courses. Columns are general information, scores, and accessibility issues.
In an individual course report, rows are content items. Columns are general information, scores, and accessibility issues.
Reports start with general information in the first few columns.
After the general information, the reports show the different content types and the total number of each one in a course, including files and content created in the Learning Management System (LMS) application. These are columns pdf to other in the CSV file.
Next, the reports detail how many items in a section have specific accessibility issues. The number in the column headings represent the severity level of the issue.
What does the number in the issue column headings mean?
The number in the column heading represents the severity level of the issue.
1 represents severe issues
2 represents major issues
3 represents minor issues
For example, ImageSeizure:1 is a severe issue while AlternativeText:2 is a major issue.
This makes it easier to parse the severity of each issue in an automated way.