Let's Go Learn Knowledge Base
When using Clever or Auto Rostering how do I add a custom class?
Since your organization is using Clever (or another rostering system) to automatically synchronize its student rosters to Let's Go Learn, teachers are not able to edit classes that show up in their teacher accounts. But teachers can still create custom classes that can be used for grouping, pull out programs, implement interventions, etc. Follow these instructions:

Step One: Adding a custom class. On the <Class> tab, click on the "Add Class" button. Enter in a descriptive class name and click on the "Add Class" button.

Step Two: Go the <Manage> tab and select “Student Roster” from the pull-down menu.

Step Three: Click the “Show all students”* button; enter your search parameters.

Step Four: Click your cursor into the "Classes" field next to the target student and select a class. Your new class will show up here. The class selection is automatically saved when you click away.

* Depending on your school’s permission setting, teachers' "Show all students" may be limited to a single site or the entire district.

Downloadable TIP SHEET is attached below.

Relevant Attachments
Creating Classes When Classes are Locked Due to Clever or Auto-rostering   TIPS_Clever_Users_Creating_Classes_and_Adding_Students.pdf
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When you bring additional fields into a conversion, Quick Base often finds inconsistencies. For example, say you're converting your Companies column into its own table. One company, Acme Corporation, has offices in New York, Dallas and Portland. So, when you add the City column to the conversion, Quick Base finds three different locations for Acme. A single value in the column you're converting can only match one value in any additional field. Quick Base needs you to clean up the extra cities before it can create your new table. To do so, you have one of two choices:

  • If you want to create three separate Acme records (Acme-New York, Acme-Dallas and Acme-Portland) click the Conform link at the top of the column.
  • If the dissimilar entries are mistakes (say Acme only has one office in New York and the other locations are data-entry errors) go back into your table and correct the inconsistencies—in this case, changing all locations to New York. Then try the conversion again.

Read more about converting a column into a table.

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