AI and education experts teamed up for a better way to prepare for tests. We believe the purpose of tests is to facilitate learning, not to stress test-takers.

OUR APPROACH

Shorter, yet deeper

Our Fast CAT algorithm adaptively selects a set of questions that can best assess a student’s test preparedness. It drastically reduces the time taken to evaluate student knowledge, while providing deep insights.

HIGHLIGHTS

Fueled by rigorous research

16+Research papers published

59+Patents registered

234Experts involved in creating R.test

332,100Data points used for training AI

Recognized at leading conferences

RESEARCH

Shifting the paradigm through AI

Our AI lab creates new and better ways of assessing knowledge. Find out how we make assessments more adaptive, accessible, and reliable.

The first step to getting good grades

Check out your current level with Fast CAT in 1/4 of the usual test time.

AI knows your score better than anyone

See it, then you will believe it. The Score Prediction AI knows what score you will get.

What you know vs. what you don’t know

Knowledge Tracing model opens up a data-driven way of preparing for tests.

Publications

Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach

Soonwoo Kwon, Sojung Kim, Seunghyun Lee, Jin-Young Kim, Suyeong An, Kyuseok Kim

UPDATED: 23 AUG, 2023

No Task Left Behind: Holistic Student Assessment Framework based on Multi-task Learning

Suyeong An, Junghoon Kim, Minsam Kim, Juneyoung Park

UPDATED: 8 APR, 2022

GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering

Yoonseok Yang, Kyu Seok Kim, Minsam Kim, Juneyoung Park

UPDATED: 6 MAY, 2022

Behavioral Testing of deep neural knowledge tracing models

Minsam Kim, Yugeun Shim, Seewoo Lee, Hyunbin Loh, Juneyoung Park

Proceedings of The 14th International Conference on Educational Data Mining

Tracing knowledge for tracing dropouts: multi-task training for study session dropout prediction

Seewoo Lee, Kyu Seok Kim, Jamin Shin, Juneyoung Park

Condensed Discriminative Question Set Generation for Accurate and Reliable Exam Score Prediction

Jung Hoon Kim, Jineon Baek, Chanyou Hwang, Chan Bae & Juneyoung Park

UPDATED: 1 FEB, 2021

SAINT+: Integrating Temporal Features for EdNet Correctness Prediction

Dongmin Shin, Yugeun Shim, Hangyeol Yu, Seewoo Lee, Byungsoo Kim, Youngduck Choi

Knowledge transfer by discriminative pre-training for academic performance prediction

Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi

UPDATED: 12 JUL, 2021

Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement

Youngnam Lee, Byungsoo Kim, Dongmin Shin, JungHoon Kim, Jineon Baek, Jinhwan Lee, Youngduck Choi

UPDATED: 1 JUL, 2020

Towards an Appropriate Query, Key, and Value Computation for Knowledge Tracing

Youngduck Choi, Youngnam Lee, Junghyun Cho, Jineon Baek, Byungsoo Kim, Yeongmin Cha, Dongmin Shin, Chan Bae, Jaewe Heo

UPDATED: 1 FEB, 2021

BIGGER MISSION

One step closer to equity in education

David Loh

AI Research Scientist

We assess students not to judge the result, but to help them learn better throughout their learning process. We leverage AI to capture things that are unnoticed by humans.

YJ Jang

CEO & Founder

To bring true innovation to education and address the exponential demand for personalization, AI is the key ingredient. And we are ready to lead this transformation.

Jason Kang

Content Lab Manager

High-stakes testing has widened the education gap across socioeconomic lines. We developed R.test to help students overcome this barrier regardless of their backgrounds.

Sam Kim

Machine Learning Scientist

I believe that the ultimate goal of education is realizing the highest potential of each student. Education should help students realize that they can achieve more than they think.

Ju-ho Lee

Education Minister and Deputy Prime Minister of South Korea

AI-driven education is here to stay. And with the pioneering efforts of global leaders like the R.test team, it can become a reality for all students.

AAAI

Association for the Advancement of Artificial Intelligence

The research quality is among the top 25% of all papers accepted to AAAI. This research will surely be popular in the next years.

SoftBank

SoftBank Investment Advisers

They are driving a paradigm shift in education from a ‘one-size-fits-all’ approach to personalized instruction. We are delighted to support their vision for quality education.

Jason Park

AI Research Scientist

What makes AI special in education is that it allows us to provide things that are tailored to an individual’s specific needs, the things that are potentially more costly.

CONTACT

Put your students on a path to success

One of our missions is to support educational institutions and schools. Let us do all the diagnosing work, so you can solely focus on teaching and helping students improve. Find out how R.test can assist you.

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