Bud Mark is a revolutionary AI tool, that takes learners work, evaluates it against a defined set of criteria, and provides feedback. Bud Mark provides Buds trainers that feedback within their existing Bud workflows, to make it easy and simple to take advantage of.
User Roles
Any user in Bud that can mark submissions.
Important Information when using Bud Mark
- Bud Mark supports .doc files and .pdf files.
- A single submission is sent to Bud Mark at once, you cannot send multiples.
- If you use Bud Mark for a submission, and that submission is marked as partially completed, the learners subsequent submission on that activity can still be marked with Bud Mark.
- If a submission has more than one file, the trainer can choose which one is sent to Bud Mark for evaluation.
How to: Mark with Bud Mark
The following steps show you how to use Bud Mark for a learner in Bud. Note, your programme team must have set this up for Bud Mark to be utilised.
First, you need to be within an activity, on a Learning Plan, which has been setup to use Bud Mark. These steps apply from that point:
1. On the activity, complete a ‘submission’. Note, the submission can either be done by the Learner or Trainer as is currently the case.
2. Once submitted, you will see the ‘Mark with Bud Mark’ button. Click this button.
- If you have multiple files in the submission, you will be asked to select the file for evaluation.
- If you only have one file in the submission, that one will be sent.
3. The loading screen will display
4. The ‘Mark Submission’ page will display, with the AI generated Bud Mark content. See this section for details on the Bud Mark content.
5. Review the content for accuracy and make any required changes to enhance the feedback further.
6. Confirm you have reviewed the AI generated feedback from Bud Mark.
7. Provide some feedback on the AI generated feedback, with a simple thumbs up or down and optional feedback.
8. Complete the existing fields - update the OTJ Hours, confirm the work is new and relevant, and mark the work as completed or partially completed.
9. Save the marking, which will be presented back to the learner, as usual.
Bud Mark AI content
Bud Mark uses the latest in generative AI to evaluate your Learners work. AI may not always perfectly accurate, and so we have steps to verify a human is in the loop, before it is shared with a Learner.
The evaluation provides two key bits of feedback, overall and detailed. The overall feedback is shared with the Learner, the detailed feedback is not, but the trainer can if they desire.
Overall Feedback
This contains an overall summary, a few points of strengths as a few points of areas to improve. This can all be edited if required before it is sent to the learner.
Detailed feedback
For every criteria the Rubric is assessing against, it will provide summary feedback on each of those. This is not shared with the learner by default, but where useful can be copied in to the Overall Feedback.
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