Calibration Sequence & Diagnostics
Understand the calibration sequence vs daily practice, how the adaptive diagnostic works, and how the ZPD algorithm maps your cognitive baseline.
The first time you authorise access to the AdaptHub engine, you bypass traditional static testing. The system initiates an Adaptive Diagnostic spanning QA, DILR, and VARC, beginning at Difficulty Level 3 (Intermediate).
The engine is not measuring your absolute score. It deploys the Zone of Proximal Development (ZPD) algorithm to locate your cognitive ceiling. Every correct answer escalates difficulty by one level; every incorrect answer drops it by one. The diagnostic converges in approximately 15–20 questions, producing a baseline proficiency matrix per topic: not a raw score, but a calibrated starting coordinate for your learning engine.
What the Diagnostic Produces
The diagnostic outputs a per-topic proficiency map across QA sub-domains, DILR categories, and VARC types: an absolute position on the content difficulty scale that seeds every Daily Module, deliberately not a percentile estimate.
The output is a per-topic proficiency map: your current operating level in each QA sub-domain (Arithmetic, Algebra, Geometry, etc.), each DILR category (Sequencing, Arrangement, Games & Tournaments, etc.), and each VARC type (RC Inference, RC Title, Parajumble, Summary). This map is the seed from which every subsequent Daily Module is generated.
The diagnostic does not produce a percentile estimate. Percentile is a comparison metric; your diagnostic output is an absolute position on a content difficulty scale. The engine uses this position to determine your entry point into the learning curriculum, not to rank you against other students.
If the Baseline Feels Wrong
Keep practicing normally so later evidence refines the estimate; never game the diagnostic with intentional misses, because the algorithm flags implausible response patterns and forces a re-test at your next login.
If the initial matrix feels unrepresentative, continue with normal practice so later evidence can refine the estimate. The current application may adjust recommendations as more responses are recorded; no fixed recalibration day is promised.
Do not attempt to game the diagnostic by intentionally answering incorrectly. The algorithm is designed to detect implausible response patterns. If your responses are inconsistent with any coherent skill level, the system will flag the calibration and initiate a re-test on your next login.