Learning Evidence
What can an instructor reasonably infer about the knowledge and skills demonstrated?
HEP Assessment Intelligence™
Higher education assessment consulting for the AI era.
When generative AI can produce a finished assignment, what can your institution still infer about student learning? HEP helps colleges and universities examine assessment portfolios, make evidence of learning more visible, and prioritize redesign where it matters.
Discuss an Assessment Intelligence PilotExplore the approachA structured portfolio review
Assess the evidence, not whether a student used AI.
Assessment Intelligence asks whether existing assignments produce credible evidence that students achieved their intended learning. The methodology uses six dimensions to support structured professional review and help academic leaders make consistent redesign decisions.
Cognitive Demand
Does an assessment elicit explanation, application, analysis, evaluation, creation, or defense?
AI Resilience
Does meaningful evidence remain observable when generative AI is available?
Process Visibility
Are key decisions, revisions, reasoning, and development visible rather than only the final product?
Context & Judgment
Does the task call for context-specific choices, tradeoffs, uncertainty, and disciplinary judgment?
Assessment Alignment
How well does the observed evidence support the intended learning outcomes or competencies?
HEP does not use AI detection or claim to calculate the probability of student AI use. Assessment Intelligence findings are structured professional judgments, not psychometrically validated scores.
What the institution learns
See portfolio patterns that individual assignment reviews can miss.
A program-level perspective helps reveal where evidence of learning is concentrated, where it may be weak, and where a small number of thoughtful changes could strengthen the assessment system.
Evidence of Learning Map
Examine where assessments provide observable evidence of:
- Knowledge and application
- Reasoning and disciplinary judgment
- Transfer and performance
- Reflection and visible development
Actionable redesign priorities
Each reviewed assessment contributes to a portfolio-level decision:
- Keep when the evidence is credible and aligned
- Enhance when focused improvements add clarity
- Redesign when core evidence is not sufficiently visible
- Reconsider when the task no longer supports the intended outcome
The review also records assessment evidence dependency and institutional expectations for permitted AI use as separate diagnostic information. Policy statements alone are not treated as proof of learning.
Start with a defined engagement
Assessment Intelligence Pilot
Test the approach with one academic program, department, or representative course group before committing to a larger assessment initiative.
Pilot scope
- Up to 20 major assessments
- Related learning outcomes or competencies
- Applicable institutional or program AI guidance
- Approximately three weeks after complete materials are received
The standard pilot reviews assessment artifacts and does not require student submissions or personally identifiable student information.
What you receive
- Executive portfolio findings and Assessment Intelligence Profile
- Evidence of Learning Map and AI use analysis
- Keep / Enhance / Redesign / Reconsider priorities
- Detailed review of five priority assessments
- Two complete redesign exemplars
- 90 day implementation roadmap and 60 minute executive consultation
Request an Assessment Intelligence consultation
A fixed scope pilot helps identify redesign priorities; additional implementation services are scoped separately.
Beyond the diagnostic
Recommendations that can turn into usable courses and assessments.
Higher Education Partners combines portfolio analysis with curriculum design, course development, Canvas implementation, accessibility support, and faculty consultation. Institutions can start with an evidence review, then choose the implementation help they actually need.
That means assessment redesign can be considered alongside workload, academic standards, course consistency, student access, and long-term maintenance rather than as an isolated assignment exercise.
Designed for academic decision makers
- Deans and academic program leaders
- Assessment and accreditation leaders
- Teaching and learning center leaders
- Online learning and academic innovation teams
- Departments coordinating assessment across multiple courses
Common questions
How does the pilot work?
Is this an AI cheating detector?
No. Assessment Intelligence evaluates the design of assessments and the visibility of learning evidence. It does not attempt to identify whether an individual student used generative AI.
What do we provide?
Up to 20 representative major assessments, associated outcomes or competencies, and any relevant AI guidance or policies, plus one institutional point of contact.
Does the pilot redesign every assignment?
No. The pilot provides a portfolio review and priority decisions, five detailed assessment reviews, and two complete redesign exemplars. Broader redesign or implementation can be scoped separately.
How long does it take?
Approximately three weeks after HEP receives complete assessment materials and the agreed project information.
Insights
Are your assessments still measuring student learning in the age of AI?
Read our practical guide to evaluating learning evidence, process visibility, judgment, alignment, and assessment priorities in an AI enabled environment.
Start a conversation
See clearer evidence. Make informed redesign decisions.
Tell us which program, department, or assessment portfolio you are considering. We can discuss whether a focused pilot would help establish priorities before a larger investment.
Request a consultationOr email contact@highereducationpartners.com