Koji vs Class Climate (Scantron) for Course Evaluation (2026): A Fair Comparison
Class Climate is Scantron's mature paper-and-online course-evaluation engine; Koji is an AI-moderated interview platform. An honest comparison of where each fits for European universities.
Koji Education Team
Product ·
Short answer: Class Climate, Scantron's long-established course-evaluation system, is a mature and reliable engine for running standardised Likert questionnaires at scale — and it remains one of the very few platforms that still handles both paper (optical mark recognition) and online evaluation in a single workflow. If your institution still scans thousands of bubble sheets each term, or you need a battle-tested tool that plugs into Canvas, Moodle, Blackboard and D2L to push out fixed questionnaires, Class Climate does that job well. Koji is a different category of instrument: instead of a static rating form, it runs an AI-moderated conversational interview with each student and then performs the thematic analysis for you. If your real problem is thin, uninformative feedback and reports that nobody acts on — rather than the mechanics of distributing a survey — Koji is the stronger fit. This guide compares both fairly, including where Class Climate is the better choice.
What each tool actually is
Class Climate is a course-evaluation product from Scantron, a company whose roots are in optical mark recognition and standardised testing. Class Climate has been on the market for well over fifteen years — Scantron launched Class Climate 3.0 back in 2007 — and it is used by higher-education institutions to design questionnaires, distribute them online or on paper, collect responses, and generate reports. It is a survey engine: you define the items (usually Likert-scale ratings plus a few open-text boxes), the system collects the answers, and it returns tables, charts and quality indicators.
Koji is an AI-native evaluation platform built around a conversational interview. Each student is guided through a short, adaptive dialogue that asks why, follows up on vague answers, and probes for specifics — the way a skilled human interviewer would — before automatically clustering the transcripts into themes with representative quotes and severity signals. Koji is built on the same AI interview engine that powers the main Koji research platform at koji.so, adapted for the standardised, high-stakes context of course evaluation. The point of comparison is not "which survey tool is better" but "does a survey or an interview give you evidence you can act on".
Comparison table
| Capability | Class Climate (Scantron) | Koji |
|---|---|---|
| Core method | Static Likert questionnaire + open-text | AI-moderated adaptive interview |
| Paper / OMR support | Yes — a core strength (OpScan scanners) | Online only |
| Follow-up probing | None (fixed questions) | Automatic, adaptive per answer |
| Qualitative analysis | Manual reading of comments; add-on text tools | Automatic thematic analysis with quotes |
| Bias-aware standardisation | Depends on questionnaire design | Standardised moderation across all interviews |
| Formative / mid-term feedback | Possible but manual to configure | Built-in, designed for the teaching cycle |
| Closing-the-loop / action tracking | Reporting only | Action tracking to document what changed |
| LMS integration | Canvas, Moodle, Blackboard, D2L | Modern web + LMS/link-based distribution |
| Benchmarking | Year-over-year, target values | Longitudinal cohort and thematic trends |
| Data hosting | Web-based (contact vendor for options) | EU-based, GDPR-aligned processing |
| Public pricing | Not published (quote-based) | Not published (quote-based) |
As of publication, neither Scantron nor Koji publishes list pricing; both are quote-based, so total cost of ownership should be compared directly with each vendor.
Where Class Climate genuinely wins
Being honest with a PhD-literate procurement audience means naming the cases where the incumbent is the right answer.
- Paper and OMR at scale. This is Class Climate's standout advantage. If a meaningful share of your evaluations are still completed on paper — common in lab, clinical, practical or low-connectivity settings — Class Climate captures paper and online responses in one system, and Scantron's OpScan hardware (the OpScan 4ES processes roughly 2,800 sheets per hour) is genuinely industrial-grade. Koji does not do paper.
- A pure metrics-and-benchmarking operation. If your quality office primarily wants standardised numeric indicators, comparison to target values, and clean year-over-year trend lines across a fixed item set, Class Climate delivers that reliably.
- Deep existing investment. Institutions that already own Scantron scanners, have built institution-wide templates, and have trained staff on the workflow face real switching costs. That incumbency has value.
- Established integrations. Class Climate integrates with the major learning-management systems (Canvas, Moodle, Blackboard, D2L), which matters if front-of-mind, in-LMS invitations drive your response rates.
If the above describes your primary need, Class Climate is a defensible, low-risk choice.
Where Koji pulls ahead
The limitations Koji is designed to solve are not about distributing a survey — Class Climate does that fine — but about the quality of the evidence a static survey can produce.
1. It probes instead of accepting the first answer. A Likert form records that a student rated "feedback" a 2 out of 5. It cannot ask which feedback, on which assessment, and what would have helped. Koji's interview does exactly that follow-up automatically, turning a number into an actionable cause. This is the difference between knowing a score dropped and knowing why.
2. It analyses the qualitative data for you. Open-text boxes in any survey tool produce a pile of comments that someone has to read, code and summarise — work that rarely happens well at programme scale. Koji performs automatic thematic analysis, grouping what students actually said into themes with representative quotes and an indication of how widespread each issue is. A "78% positive" sentiment figure is not insight; a ranked list of specific, evidenced problems is.
3. It standardises the conversation, which reduces some biases. Every student gets the same neutral, consistently moderated interview, which mitigates the interviewer-variability problem of human focus groups while still capturing depth. It does not eliminate the well-documented biases in student ratings — no tool does — but standardised moderation is a more controlled instrument than an open comment box.
4. It is built for the whole quality cycle, including closing the loop. Koji is designed for formative mid-term collection (not just an end-of-term post-mortem) and includes action tracking so you can document what changed in response to feedback — the single strongest driver of student trust and response rates, and increasingly what accreditors want to see.
5. EU data handling by design. Koji processes data with GDPR in mind and EU-based handling, which simplifies the data-protection assessment European institutions must complete before procurement.
When a survey is still the right tool
Koji is not the answer to every question. If you are legally or politically required to report a specific, unchanging set of numeric indicators to a ministry, or you need paper collection, or you simply want the cheapest possible way to push a five-question form to 400 students, a traditional survey engine like Class Climate — or a general survey tool — may be the pragmatic choice. Many institutions will run both: a lightweight standardised survey for the numbers a governance body demands, and Koji interviews for the depth that actually improves teaching. The honest framing is that these are complementary instruments, not identical ones.
How to decide
Ask what is failing today. If the complaint is "we can't get the paper forms scanned" or "we need cleaner benchmark charts", that is a distribution-and-reporting problem, and Class Climate is strong there. If the complaint is "our reports are full of 4-out-of-5s and vague comments, and faculty ignore them", that is an evidence-quality problem — and no amount of survey polish fixes it, because the ceiling is the static-questionnaire method itself. That is the gap Koji is built for.
For a broader market view, see our best course evaluation software for European universities guide, our Koji vs EvaSys and Koji vs Explorance Blue comparisons, and the head-to-head on AI course evaluation vs traditional SET surveys.
Response rates and student experience
A point often lost in feature comparisons: the method shapes the response rate. Static end-of-term questionnaires — the model Class Climate implements well — suffer from well-documented survey fatigue, and response rates at many institutions have drifted into the 30-40% range, which undermines the representativeness of the data no matter how cleanly it is scanned or charted. A conversational format changes the experience: students are asked to talk about their course rather than tick twenty boxes, and the interview adapts to what they say. That does not automatically guarantee higher completion, and any vendor claiming a fixed uplift should be pressed for evidence, but the design intent is different — Koji is built to make the act of giving feedback feel worthwhile, and to show students their input leads to change, which is the strongest evidence-based driver of future participation. If your response rates are collapsing, that is a signal the instrument itself, not just the reminders, may need to change.
Total cost of ownership: what to actually compare
Because neither vendor publishes list pricing, compare the full picture rather than a licence line. For Class Climate, factor in any OMR hardware and consumables, the staff time spent scanning and reconciling paper, and — critically — the analyst hours needed to read and code open-text comments at programme scale, which is where "cheap" survey tools quietly become expensive. For Koji, the qualitative analysis that would otherwise consume those analyst hours is automated, so the comparison should weigh licence cost against the labour it removes. Ask each vendor for a reference customer of similar size and a written summary of what is and isn't included (hosting, support, integrations, data export). A tool that produces cleaner numbers but leaves the hard qualitative work manual has a real, if hidden, cost.
The bottom line
Class Climate is a mature, dependable survey-and-scanning engine with a genuine, hard-to-replace strength in paper/OMR and standardised reporting. Koji is a next-generation instrument that replaces the static form with an AI-moderated interview and hands you analysed, actionable themes instead of raw comments. Choose Class Climate if your challenge is logistics and numeric benchmarking — especially with paper. Choose Koji if your challenge is getting feedback worth acting on and closing the loop with students. Want to see the difference on your own courses? Book a Koji for Education demo.