|

UPDATED: 12 JUL, 2021

Knowledge transfer by discriminative pre-training for academic performance prediction

by Byungsoo Kim, Hangyeol Yu, Dongmin Shin, Youngduck Choi

Education is an area where data is scarce due to belated digital transformation or the high cost of acquiring data such as test scores. The label-scarcity problem brings a big challenge in taking machine learning approaches for academic performance prediction in intelligent tutoring systems(ITS).

Definition:

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.
To this end, we propose DPA, a transfer learning framework with Discriminative Pre-training tasks for academic performance prediction. Experimental results show that DPA is a robust methodology impervious to the label scarcity problem.

/

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

contactus@rtest.ai

||

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.

Quick Cookie Note 🍪

We use necessary cookies to make R.test work. With your consent, we'd love to use other cookies to enhance your experience and understand our website's performance better. Accept if you're okay with it. More details are available in our cookie settings.

Quick Cookie Note 🍪

We use necessary cookies to make R.test work. With your consent, we'd love to use other cookies to enhance your experience and understand our website's performance better. Accept if you're okay with it. More details are available in our cookie settings.