Academic mapping. Greater efficiency. Defensible decisions.
Turn complex academic materials into clear, evidence-based mapping that supports student mobility, credit recognition, and curriculum alignment.
QA-Canada helps Canadian post-secondary institutions use AI-assisted workflows to analyse large volumes of course outlines, program requirements, learning outcomes, and prior-learning documentation.
Our work supports three key applications:
Course equivalency and student mobility: Compare learning outcomes across institutions and programs to identify potential transfer-credit opportunities and pathways, including 2+2 and 1+3 arrangements.
Curriculum and program alignment: Map course learning outcomes to program learning outcomes to identify coverage, gaps, and areas requiring further academic review.
Prior learning and transfer credit: Compare documented prior learning with course learning outcomes to support consistent, evidence-based credit assessments.
Our approach combines AI-assisted analysis, transparent methods, traceable evidence, and qualified human review. We help institutions work more efficiently while preserving academic standards and institutional authority over credit decisions.
Independent consulting for post-secondary institutions across Canada.
Your documents
- Course outlines
- Program requirements
- Learning outcomes
- Prior-learning documentation
Our approach
- AI-assisted analysis
- Transparent methods
- Traceable evidence
- Qualified human review
Clear, evidence-based mapping
- Course equivalency and student mobility
- Curriculum and program alignment
- Prior learning and transfer credit
When academic comparison outgrows the spreadsheet
Transfer-credit assessments, PLAR, articulation agreements, and program reviews all require institutions to compare learning outcomes and supporting evidence against defined academic requirements. As the volume and complexity of these comparisons grow, manual processes can become time-consuming, difficult to standardize, and challenging to document consistently.
Manual comparison at volume
Faculty and staff review course outlines, program requirements, and prior-learning documentation line by line. Similar comparisons may need to be repeated across courses, programs, and assessment requests.
Inconsistent documentation
Different reviewers may document their analysis, interpret evidence, and explain the basis for potential equivalencies in different ways. Without a structured approach, consistent application of institutional criteria becomes harder to support.
Limited traceability
When a decision needs to be reviewed, reconsidered, or audited, institutions need a clear record of the evidence examined, the alignments identified, and the rationale for the assessment.
Three areas of practice
Focused services for the academic processes where structured comparison and clear documentation matter most.
Course and program mapping
Compare learning outcomes across courses and programs to identify potential equivalencies, transfer pathways, curriculum alignment, partial matches, and gaps. Receive structured mapping matrices and reports that make findings easier to review and act on.
PLAR and transfer credit
Compare documented prior learning and external coursework against course learning outcomes and institutional criteria. Support transparent, consistent assessments while preserving your institution's authority over credit decisions.
AI-assisted academic workflows
Develop practical workflows that use AI to structure academic information, accelerate comparisons, and support repeatable analysis with documented methods, quality controls, and qualified human review.
Additional support is available for academic quality assurance, program and curriculum review, and credit-recognition policy and processes. View all services
Deliverables built for academic review and decision-making
Receive structured outputs that help academic decision-makers understand findings, examine supporting evidence, and determine appropriate next steps. Deliverables are tailored to the scope and requirements of each engagement.
- Mapping matrix
- An outcome-by-outcome comparison showing potential alignment, partial alignment, gaps, and items requiring further review.
- Evidence trail
- Source references and documented rationales supporting individual findings, with reviewer confirmation recorded as appropriate.
- Gap analysis
- Specific areas of incomplete or uncertain alignment, with potential implications and options for further investigation, bridging content, or academic review.
- Review log
- A record of reviewer decisions, revisions, unresolved questions, and items requiring follow-up, where applicable.
- Summary report
- A concise account of key findings, limitations, and recommendations to support academic consideration and decision-making.
- Method notes
- Criteria, templates and procedures your team can rely on.
A transparent method, with qualified human review
Whether the engagement involves a single course comparison or a broader program-mapping exercise, the process follows a structured sequence. Each stage is documented so findings can be examined, validated, and used by the appropriate academic decision-makers.
- ScopeAgree on the question, materials, criteria and decision owners.
- Review sourcesCheck outlines and outcomes for completeness and currency.
- AnalyzeStructure outcomes and compare them systematically.
- MapClassify each alignment and record the evidence.
- ValidateQuality checks and qualified expert review.
- ReportDeliver the matrix, evidence trail and findings.
Where AI fits, and where it does not
AI can help extract, structure, and compare large volumes of academic material more efficiently. It can identify potential alignments and gaps, but it cannot independently determine academic equivalency or award credit.
QA-Canada designs workflows around transparent criteria, traceable evidence, quality checks, and qualified human review. Findings are reviewed and validated before they are reported for academic consideration.
What AI assistance does
- Extracts and structures learning source materials
- Proposes candidate alignments for review
- Flags ambiguous language, missing information and inconsistencies, including assessment and rigour
- Drafts evidence summaries for a reviewer to confirm or correct
What qualified reviewers do
- Confirm, revise or reject every proposed alignment
- Judge depth, level and sufficiency of evidence
- Resolve cases referred for expert review
- Make, and own, the academic decision
Why institutions work with QACanada
Transparent methods
Criteria, classifications and reasoning are written down before the analysis starts, and are applied the same way throughout.
Institutional authority preserved
We support your reviewers and committees. Credit, recognition and curriculum decisions remain yours.
Confidentiality by default
Course materials and learner information are handled under agreed terms, using tools your institution approves.
Grounded in Canadian post-secondary practice
Designed around Canadian post-secondary practice in credit transfer, PLAR and quality assurance.
Academic leadership and practical expertise
QA-Canada combines academic and quality-assurance expertise with structured, AI-assisted analysis. Our approach emphasizes practical institutional needs, defensible methods, and outputs that academic decision-makers can use.
Who we work with
We work with academic leaders and the teams responsible for credit recognition, curriculum, and quality assurance.
- Deans, provosts and academic vice-presidents
- Registrars and enrolment services
- Transfer-credit and PLAR offices
- Curriculum, program-review and quality-assurance teams
- Program chairs and faculty committees
- Institutions, consortia, and partners developing transfer pathways
Have a mapping, PLAR or transfer-credit challenge?
Start with a conversation about your institutional context, the materials involved, the volume of comparisons, and your intended outcomes.
We will help identify a practical scope of work, potential deliverables, and an appropriate approach with no obligation to proceed.