Reporting changes in the August 2026 release of Adobe Learning Manager

The August 2026 release of Adobe Learning Manager introduces reporting enhancements across gradebook, external learning, Gen AI credit usage, and more. This article summarizes the new columns, reports, and behavioral changes available to administrators in this release.

What has changed

The reporting updates span eight feature areas: gradebook scoring, external learning, incremental user exports, Gen AI credit usage, root certification tracking, and webhook timestamp alignment. The changes affect the following reports most significantly:

  • Learner Transcript (LT)
  • Training report
  • Enrollment report
  • Waitlist report
  • Content audit report

Most updates introduce new columns. Some introduced new report types. A few changed how existing data is modeled or formatted.

Gradebook reporting changes

Learner Transcript

A new Weight column represents each scorable module’s contribution toward the overall course score.

Value
Description
Numeric percentage (for example, 20, 30, 50)
Module’s contribution to the course score
Blank
Module is not scorable (for example, PDFs or videos)

Content audit report

Two new events capture gradebook configuration changes.

Event
Triggered when
Captured data
Gradebook updated
Gradebook is enabled, disabled, or modified at the course level
Change in gradebook state; grading configuration updates
Module weight updated
Weightage assigned to a module is modified
Module identifier; updated weightage value

The Learner Transcript reflects the latest weightage. The Content audit report tracks historical changes. Together, they give you a full picture of current scoring logic and how it has evolved.

External learning reporting changes

Learner Transcript

Three new columns are added to support external learning records.

Column
Description
External Learning Name
Name of the external learning activity submitted by the learner
Custom fields
One column per custom field configured for external learning (text, numeric, checkbox, or dropdown)
Completion Comment
Manager remarks entered during approval or rejection

Note: In the Learner Transcript (learner self-service view), column placement differs from the Admin Learner Transcript:

  • External Learning Name is added immediately after the existing Module column.

  • Completion Comment is added immediately after the existing Reviewer’s remarks column.

  • Custom field columns (one per configured custom field) are appended at the end of the transcript.

In the Admin Learner Transcript, all new columns, including External Learning Name and Completion Comment, are appended at the end, followed by custom field columns.

Type column in Learner Transcript

External learning entries now appear alongside existing learning objects (courses, learning paths, certifications) in Administrator LT. The Type column includes a new external learning classification for easy filtering.

External learning data flows into both the Learner Transcript and Admin LT. Core fields such as completion date, status, and score map to existing columns. Custom fields are appended as additional columns.

Incremental user report changes

A new incremental export model lets you export only users whose data has changed within a specified time window, rather than generating full data exports each time.

Export mode
Behavior
Full export
Returns all users in the account
Incremental export
Returns only users with changes within the specified date range

To use incremental export, filter by from date and to date to define the change window. User reports are now generated using a data platform pipeline, and output is returned in chunks to support large accounts.

Gen AI credit reporting

A new credit dashboard and two reports give administrators visibility into Gen AI credit consumption.

Credit dashboard

The dashboard surfaces the following metrics at the account level.

Metric
Description
Purchased credits
Total credits provisioned for the account
Used credits
Credits consumed across AI-powered features
Remaining credits
Available credits after consumption
Per-feature usage
Credit consumption split by individual AI feature

New reports

Report
Description
Monthly usage report
Summarizes credit consumption by month, feature, and credits consumed
Audit trail report
Provides user-level details: user identifier, feature name, credits consumed, and timestamp

Other behavioral changes

Root certification: Root Training ID

A new Root Training ID column is added at the end of both the Admin Learner Transcript and the Learner Transcript (learner self-service view). It captures the unique identifier that links all recurrences of a certification to a single root entity. This allows for associating all recurring instances of a certification with a single root ID for tracking and filtering.

Webhook and Learner Transcript timestamp standardization

Webhook timestamps are now aligned to Learner Transcript formatting. Every date and time field within the data object of a webhook payload now has its seconds value set to 00, providing minute-level granularity consistent with Learner Transcript reports. This eliminates the need to normalize timestamp formats when comparing webhook data with Learner Transcript data.

Author information in the API response for shared courses

When a course is shared from one Adobe Learning Manager account to another via catalog sharing, the API’s learning object (LO) response now returns only the original author details from the source account. Previously, the accepting account’s administrator appeared as the course author in the API response for their account

This change affects peer (receiving) accounts only. When you query the LO detail endpoint for a shared course in a receiving account, the authorNames field now reflects the original author from the source account, not the receiving account’s administrator.

There is no change to how author details appear when querying the LO in the source account.

Note: If your integration relies on the authorNames field in the LO API response for shared courses, verify that the updated author data does not break any downstream logic that assumed the receiving account’s administrator name would appear in this field.

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