Text and handwriting
Review written responses, worked explanations and legible handwritten work against rubric criteria.
Review open-ended responses against organization-defined learning objectives and rubrics, rather than relying only on keywords.
AI-assisted open-ended response assessment can support the review of text, audio, video, visual/drawing or handwriting responses against rubrics and learning outcomes supplied by the organization. Qulak AI provides analysis suggestions, while expert review remains part of the process for final scores and consequential decisions.
Response-appropriate processing, criteria-based analysis and human review come together in one assessment workflow.
When the assessment method aligns with the learning goal, response format can be part of the assessment design.
Review written responses, worked explanations and legible handwritten work against rubric criteria.
Help evaluate evidence related to learning goals in spoken or video responses.
Assess diagrams, drawings and other visual answers against organization-defined criteria.
Learning experts should be able to review how an AI suggestion relates to a response and a defined criterion.
Set learning outcomes, rubric dimensions and expected performance before assessment.
Review suggested analysis alongside relevant response content and rubric criteria.
An authorized evaluator decides whether to edit, accept or reject an AI suggestion.
Reviewable steps from rubric definition to the final assessment:
Define the learning objective and scoring criteria.
Capture text, audio, video or visual responses in the organization’s assessment flow.
Check the suggested content evidence and draft feedback against the rubric.
An expert evaluator approves, edits or changes the proposed score.
AI analysis is not presented as emotion, personality, facial-expression or identity inference. Keep assessment focused on response content, rubrics and learning objectives; an authorized evaluator should make the final decision.
• Define rubrics and objectives before the assessment.
• Do not score personal traits unrelated to response content.
• Preserve expert approval, appeal and correction options.
Explore AI capabilities that connect competency models, content creation, assessment and personalized development.
Explore solutionDraft similar questions from authorized sources and map existing items to learning outcomes and skills.
Explore solutionRelate assessment findings to target competencies and individual development steps.
Explore solutionText, audio, video, visual/drawing and handwriting responses may be assessed. Available formats and quality requirements should be confirmed for the organization’s assessment flow.
The workflow is structured to suggest analysis against learning objectives and rubrics supplied by the organization. Experts should review both the rubric and the AI suggestion.
AI output is a recommendation to support assessment. An authorized evaluator should review final scores and consequential decisions.
Discuss how your rubrics, response formats and expert approval process can fit Qulak AI.
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