UPDATED: 1 JUL, 2020

Prescribing Deep Attentive Score Prediction Attracts Improved Student Engagement

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

This paper provides a glimpse of how a more accurate prediction of a learner’s academic performance could influence the student’s engagement with an online platform intelligent tutoring system(ITS). The study was based on the assumption that accurate score prediction models would result in an increase in overall activity with an ITS.


The score prediction model predicts how a learner would perform in a standardized test based on the learner’s responses to questions.


An intelligent tutoring system(ITS) is a computer-aided learning environment designed to provide immediate and customized instructions that are adaptive to a learner’s knowledge.
A/B tests were conducted to confirm our hypothesis, and results indicate that both revenue, retention rate, and average revenue per paid user(ARPPU) have increased with a better version of our score prediction model.


Loading PDF…

Get your score in 40 min!

Just do 1/4 of a full test and get actionable insights.

R.test is an AI-powered diagnostic test platform that evaluates student’s test readiness. Our mission is to get rid of inefficiency and inequality from test prep industry by making assessments more adaptive, accessible, and reliable.

â“’ 2023 Riiid, Inc. All Rights Reserved

521, Teheran-ro, Gangnam-gu, Seoul, Korea


College Board® is a trademark registered by the College Board, which is not affiliated with, and does not endorse, this website.

Neither Riiid, Inc. or R.test is affiliated with College Board® and do not have access to College Board's proprietary data.

ACT® is a registered trademark of ACT, inc. This website is not endorsed or approved by ACT, inc.

Neither Riiid, Inc. or R.test is affiliated with ACT, Inc. and do not have access to ACT’s proprietary data.