What is R.test?
R.test is an innovative AI-powered diagnostic test platform revolutionizing standardized test preparation. The platform utilizes advanced machine learning models for Knowledge Tracing (KT) and Score Prediction (SP) to deliver accurate test score predictions with just a fraction of the questions found in full-length exams.
Developed by a team of 234 experts with over 1.3 million hours of research and trained on 332,100 data points, R.test offers a close-to-real test environment with comprehensive analytics reports. The platform specializes in Digital SAT®, ACT®, and PSAT/NMSQT® preparation, providing students and educators with detailed insights and personalized improvement recommendations.
Features
- AI Score Prediction: Accurate score predictions with minimal questions
- Comprehensive Analytics: Detailed reports with personalized improvement areas
- Adaptive Testing: Customized question selection based on user performance
- Real Test Environment: Authentic testing interface with timer and calculator
- Mini Test Format: Complete diagnostic assessment in 40 minutes
- Visual Explanations: Step-by-step solution guidance
- Performance Tracking: Detailed progress monitoring and analysis
Use Cases
- Quick diagnostic assessment for test readiness
- Identifying specific areas for improvement
- Practice for digital SAT format
- Student progress monitoring for educators
- Time-efficient test preparation
- Personalized study planning
FAQs
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What is R.test Mini?
R.test Mini is an AI-powered test that predicts your score with fewer questions than a full-length test. It provides targeted questions based on progress assessment and delivers personalized insights for improvement. -
How long is R.test Mini?
R.test Mini can be completed within 40 minutes on average, providing the same insightful analytics report with only 1/4 of the effort required for a full-length test. -
How accurate is the predicted score?
87% of SAT and ACT test-takers report that R.test score predictions were accurate relative to their actual test scores. The predictions are based on validated Knowledge Tracing and Score Prediction machine learning models. -
What specific hardware or device is required?
R.test is entirely online and compatible with Chrome, Safari, and Edge browsers. A screen width of at least 1080px is recommended for optimal experience.
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R.test Uptime Monitor
Average Uptime
100%
Average Response Time
197.9 ms
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