If your school is not syncing class rosters automatically with Google Classroom, Clever, AWARE or other methods, admins can upload a CSV file of the campus's students so that, when teachers add students to their roster, information will autocomplete in the boxes as they type, making roster creation and maintenance easier.
To Upload Campus Students via CSV File:
- Obtain a CSV file of your students with separate columns containing this data: [First Name], [Last Name], and [Student ID]. Column headers (titles) are not necessary. We recommend you also include student email addresses. If using Google Classroom, see Note A below.
A. If you allow Google Classroom syncing, you must include students' Google Classroom email addresses, or teachers will end up with duplicates.
B. Students already in ALL In Learning will be recognized by Student ID or email address (exact match). Duplicates will not be created, but any edits to their name will be applied.
C. You must use one file containing all of your campus's active students (as opposed to separate files by grade level or new students, for example) to prevent the removal of existing students who aren't currently in an active class. (See step 9 below for more information on the auto-cleanup component of the CSV import process.)
D. If you the CSV file is being produced on Microsoft Excel For Mac, choose the "Microsoft CSV" format to avoid mixed up column information.
- Log into your ALL In learning administrator account.
- Go to the Administration tab, click "Student Import," and select "CSV Import."
Note: If Google Classroom is enabled for your campus, your CSV must contain the students' Google Classroom email addresses (the email addresses your students use to log into Google Classroom).
- Click "Choose File," navigate to your desired CSV file and click "Open," and then click "Upload File."
- If your file has column titles in the first row, select the “Skip First Row (titles)” check box. This will disregard the first row, so if your first row is student data, do not select this option.
- For the field called "Select Student ID Column,"choose which column contains the Student ID, referring to table at the bottom of the page showing a sample from your CSV file.
- Choose the correct columns in the remaining fields.
- When you are finished mapping the columns, click Next.
- Review the next screen, which shows you a preview of your import results. Make sure your mapping is correct and that everything appears as it should. If you need to make adjustments, go back and do so.
- Click "Import Now" and wait give the system a few moments to process until you see an “Import Complete” confirmation
A. Any inactive student (not currently in a class) who is not in your CSV file will be removed from your campus list in order to keep ALL In Learning uncluttered for all users year over year and as students leave the campus. (Past report data for those students will not be deleted.) If any students get deleted unintentionally, you can import another version of your file that includes them (which will "undelete" them) or add them individually (a process that will give you a chance to undelete them).
B. Duplicate data will be ignored where the Student IDs or emails match exactly. If the Student IDs or emails match exactly, those students' first and last names will be updated with the imported data. Any Student IDs or emails not matching will be uploaded as new student records. If you import using the wrong Student IDs or mismatch the Student ID column during the upload, you would create duplicate records!
"When I try to import my student csv file, there’s one long row with names and other information all in that row or cell, not in columns. The formatting is all messed up."
We have seen this problem happen when a CSV file was saved in Excel for Mac. Open it in Excel and re-save it as "Windows Comma Separated Value" file type.
"When I try to import my student CSV file, the spinner just spins and it never finishes uploading."
This may be a problem with your browser. Restart your computer, and try again. If this doesn't help, please send your csv file to email@example.com and explain what is going wrong so we can help.
"I accidentally imported my csv file with the first name and last name mixed up, with the wrong Student ID, or another problem. What can I do?"
- As long as the Student ID was imported in the correct column, you can re-import your file, being sure to match the First and Last columns correctly, and we will correct the problem for you automatically. We'll recognize the Student ID and update the other fields.
- If your Student IDs were imported wrongly, and if none of the students have been added to classes, you should be able to import a corrected file, being sure to map the columns correctly, and those wrongly-imported records (being considered inactive because they aren't in any classes) will be removed automatically and the corrected ones will be added. If the students were in classes and have data which you wish to have assigned to the corrected student ID, we recommend importing your new corrected file and then using the Merge tool (in your Administration > Students tab) to merge them one at a time with the corrected record.
- If you have duplicate students and re-importing your file will not resolve them because both are either in a class or in your file, you may decide to use the "Merge Students" tool(in your Administration > Students tab) to merge the duplicate records one at a time. If you have a high number of duplicates, contact support. We'll help you find the best solution!
NOTE: No existing academic data can be destroyed by importing a CSV file incorrectly. Also note that depending on the scale and nature of the error, there may be little downside to leaving it there (for example the only time anyone sees it may be when teachers type students into their rosters and the auto-complete box displays those records that may match what they are typing).
Please email firstname.lastname@example.org for assistance and advice on resolving import errors.
Additional keywords: csv comma seperated separated values delimited export