Clear expectations
Define acceptable AI use and what students must explain.
Evidence of learning
Put responsible AI use
into practice.
Connect your program’s expectations with guided research workflows, documented student reasoning, and a consistent structure for streamlined faculty assessment.
A standardized assessment process.
Thinking Record
Review input, drafts, revisions, and reflections.
Faculty assessment
Assess the work using your program’s academic standards.
Make learning evidence part of the research workflow.
Articulate core competencies
Establish assignment or research requirements, and assessment criteria.
Guide student work
Use structured inputs, AI guidance, and Guided Reflections.
Share the record
Submit research and reasoning for faculty review.
Assess and respond
Apply rubric and provide targeted feedback.
The Thinking Record
The work and the reasoning.
In one record.
Give faculty context for evaluating how students developed, questioned, and revised AI-assisted work.
Explore the Thinking RecordThinking Record
Initial input
Draft and revisions
Guided Reflections
Rationale
Support learning evidence across roles.
For faculty
Review the reasoning behind the research and focus feedback.
For program leaders
Establish a repeatable approach to assessment.
For institutions
Support documented practices for research quality and accreditation.
Bring Intellectus360 framework into your program.
Discuss your goals
Choose tools
Plan faculty implementation
Explore research workflows, faculty training, access options, and assessment practices with our team.
Build a practical approach to document critical thinking.
See how Intellectus360 supports your program’s teaching, research, and assessment.
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