Learning / BROWSER DEMO
MyGREBD
MyGREBD is an independent English and Bangla GRE-learning workspace with original practice material. It tracks local practice evidence, vocabulary review, and study plans without estimating an official score.
Free to explore · No sign-in · Demonstration data

EXPLORE
What you can try
- Try verbal and quantitative practice, including timed sets and a short starting-point check.
- Review bilingual vocabulary cards with a simple spaced schedule.
- Keep a weekly plan, mistake notes, and validated progress backups.
START HERE
Try it in three steps
- Choose Learn, Drill, or a timed set and answer the practice questions.
- Review explanations and add a missed question to your error notes.
- Open vocabulary or weekly planning to schedule the next study session.
CONTEXT & LIMITS
Know what the demo shows
- This is not an ETS product or a full adaptive GRE exam.
- Practice results are local evidence, not official scaled scores or score predictions.
- The question bank is limited, and repeated questions can affect accuracy.
Use fictional information when trying inputs. The browser edition has no live service, account, payment, dispatch, or external AI integration. Any local saves belong to this browser and device.
COMMON QUESTIONS
Before you explore
Does MyGREBD predict my official GRE score?
No. It reports local practice results and makes no official score estimate.
Are these official GRE questions?
No. The practice set is an independent, limited learning bank.
Release information
Maintained by Mohammad Rezwan Khan. Browser release updated . This page describes the shipped browser demo; it is not a claim of professional or production validation.
Machine-readable app facts · Plain-text overview · Dependency & content notices
Source revision 2369a99ab2d8 · Runtime SHA-256 7a3397f67b284e98
Governing Equations, Inputs, Outputs & Dimensional Conventions
MyGREBD executes deterministic client-side calculations in the browser. Every scenario is governed by explicit mathematical formulations and unit checks:
Declared Units & Arithmetic Conventions: Practice accuracy in %; response latency in seconds/item; vocabulary review intervals in days; weekly study targets in minutes/week.
Scope & Operational Boundary: Original GRE-style bilingual practice, timed sets, vocabulary scheduling and plans. Limited original practice bank; no ETS affiliation, adaptive test or score prediction.
Launch Interactive MyGREBD Runtime → · Read Full Methodology & Validation Notes →
Verified Case Study & Held-Out Reference Table
Worked Verification Case: Diagnostic Set Walkthrough: Completing a 10-item mixed Verbal (Text Completion / Reading Comprehension) and Quantitative Reasoning drill records per-item timing and bilingual (English/Bangla) error rationales locally in localStorage, scheduling missed GRE vocabulary roots for 1-day, 3-day, and 7-day spaced repetition without generating an official ETS scaled (130–170) score prediction.
| Module | Item Format | Language Support | Scoring Method | Official ETS Affiliation |
|---|---|---|---|---|
| Quantitative Drill | Comparison & Numeric Entry | English + বাংলা rationale | Raw % + Pacing (s/item) | None (Independent) |
| Verbal Reasoning | Text Completion & RC | English + বাংলা rationale | Raw % + Error Tagging | None (Independent) |
| Vocabulary Deck | Spaced Recall Cards | English + বাংলা gloss | Local Mastery Bucket | None (Independent) |
Specialized Companion Applications on khaniq.co.education
To preserve topical focus and distinct search intent, khaniq.co.education hosts the following dedicated companion modules under canonical subpaths:
mytoeflbd
Canonical Path: /toefl/
TOEFL-style practice, local writing and speaking records, objectives and study plans.
Boundary: No ETS affiliation, official registration or automated speaking/writing scoring.
How to Use MyGREBD in 3 Reproducible Steps
- Select a Baseline Scenario or Practice Module: Open the interactive browser runtime and choose one of the shipped synthetic presets or diagnostic modules to load its verified input parameters and unit declarations.
- Inspect Intermediate Traces & Constraints: Review the computed ledger, error diagnostics (MAE/RMSE/margin/balance checks), or bilingual explanations alongside the governing equations documented on khaniq.co.education/methodology/.
- Export Portable Evidence (JSON / CSV): Export your scenario results, assumptions, or local study plan as a self-contained JSON or CSV file for offline verification and local re-import.
Methodological & Boundary FAQs
Does MyGREBD predict my official GRE score?
No. It reports local practice results and makes no official score estimate.
Are these official GRE questions?
No. The practice set is an independent, limited learning bank.
What mathematical model and units does MyGREBD use?
MyGREBD applies Local Practice Accuracy (%) = (Correct Responses / Attempted Items) × 100; Spaced Review Interval I_k = I_{k−1} × Ease_Factor (bounded to local browser study calendar). Units: Practice accuracy in %; response latency in seconds/item; vocabulary review intervals in days; weekly study targets in minutes/week.
What are the operational boundaries and limitations of MyGREBD?
Original GRE-style bilingual practice, timed sets, vocabulary scheduling and plans. Limited original practice bank; no ETS affiliation, adaptive test or score prediction. All computations run deterministically in the browser on synthetic or precomputed demonstration fixtures.
How can I reproduce the benchmark results in MyGREBD?
Open the interactive browser workspace at ./run/, select Case 1 to inspect the worked result (Diagnostic Set Walkthrough: Completing a 10-item mixed Verbal (Text Completion / Reading Comprehension) and Quantitative Reasoning drill records per-item timing and bilingual (English/Bangla) error rationales locally in localStorage, scheduling missed GRE vocabulary roots for 1-day, 3-day, and 7-day spaced repetition without generating an official ETS scaled (130–170) score prediction.), and export the JSON or CSV evidence ledger.
Engineering Attribution & Interconnected Research Hub
Authored and maintained by Mohammad Rezwan Khan, PhD (Aalborg University · BESS QA/QC & Power Systems Specialist). Canonical URL: https://khaniq.co.education/ · Source revision: 2369a99ab2d8 · Runtime SHA-256 prefix: 7a3397f67b284e98 · Repository provenance: https://github.com/mohammadrezwankhan/mygrebd-demo (private source engine; public deterministic browser projection).
Application Metadata (app.json) · AI / LLM Discovery Guide (llms.txt) · Full Technical Corpus (llms-full.txt) · Semantic Knowledge Graph (knowledge-graph.jsonld)
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