Academic mapping. Greater efficiency. Defensible decisions.
QACanada helps Canadian colleges, universities and polytechnics compare learning outcomes, assess prior learning and transfer credit, and adopt AI-assisted workflows, with transparent methods and qualified human review at every decision point.
Independent consulting for post-secondary institutions across Canada.
| Sending outcome | R1 | R2 | R3 | R4 |
|---|---|---|---|---|
| 1. Apply statistical methods | ||||
| 2. Interpret research data | ||||
| 3. Communicate findings | ||||
| 4. Evaluate ethical issues |
Every proposed alignment is checked by a qualified reviewer before it is reported.
When comparison work outgrows the spreadsheet
Transfer-credit requests, PLAR files, articulation agreements and program reviews all depend on the same task: comparing what learners were taught and assessed against what your institution requires. Done course by course, by different people, it is slow to complete and hard to explain later.
Manual comparison at volume
Faculty and staff read outlines line by line, often for the same external courses again and again.
Inconsistent thresholds
Reviewers apply different standards for what counts as equivalent, and record their reasons differently.
Thin evidence trails
When a decision is questioned, appealed or audited, the reasoning behind it is difficult to reconstruct.
Three areas of practice
Focused services for the academic processes where structured comparison and clear documentation matter most.
Course and program mapping
Map sending and receiving learning outcomes, identify alignments, partial matches and gaps, and deliver traceable matrices and reports.
PLAR and transfer credit
Build transparent, repeatable assessment approaches that improve consistency and documentation while keeping decisions with your institution.
AI-assisted academic workflows
Design practical, controlled workflows that use AI to accelerate analysis, with expert validation and human oversight built in.
Also available: academic quality-assurance support, program and curriculum review, and advisory work on credit-recognition policy and process. See all services.
Deliverables you can use and defend
Every engagement produces documentation designed to be read by decision-makers, reused by staff and examined by reviewers, not just a recommendation.
- Mapping matrix
- Outcome-by-outcome alignment, classified consistently as aligned, partial, no match or referred for expert review.
- Evidence trail
- For each finding, the source text, the rationale and who confirmed it.
- Gap analysis
- Partial matches and gaps described specifically enough to act on, such as bridging content, conditions or further review.
- Review log
- A record of reviewer decisions, changes and open questions.
- Summary report
- Findings, limitations and recommended next steps for the academic decision-maker.
- Method notes
- Criteria, templates and procedures your team can reuse for future comparisons.
A transparent method, with people at every decision point
The same sequence applies to a single course comparison or a full program review. Each stage produces a record you can inspect.
- ScopeAgree 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 read, structure and compare large volumes of course material quickly. It does not make academic decisions. Each workflow is designed so that a qualified person confirms every finding before it is relied on.
What AI assistance does
- Extracts and structures learning outcomes from outlines
- Proposes candidate alignments for review
- Flags ambiguous language, missing information and inconsistencies
- 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 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.
Built for Canadian contexts
Designed around Canadian post-secondary practice in credit transfer, PLAR and quality assurance.
Experience and credentials
[Add a short, verifiable summary of relevant experience: for example, years in post-secondary quality assurance, roles held, types of institutions served and relevant qualifications. Add institutional references or case studies only with written permission.]
Who we work with
Engagements are typically sponsored by academic leadership and carried out with the teams who manage credit and curriculum processes day to day.
- 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
- System, consortium and pathway partners
Have a mapping, PLAR or transfer-credit challenge?
Start with a short conversation about your context, volumes and timelines. We will outline a practical scope, with no obligation.