Study GRE Vocab in KAR³L, Support Learning Research, and Earn Rewards!

We are a team of researchers at the University of Maryland and Yale, and we recently developed KAR³L, a research project investigating AI-assisted learning with flashcards. We have a pre-print of our first research work here: https://arxiv.org/abs/2402.12291 . We’ve now launched a new flashcard scheduler that uses model-generated mnemonic devices to help boost vocabulary learning:  https://karl.qanta.org/landing.

Currently, KAR³L has 750 unique vocabulary terms and we are looking for feedback on our generated mnemonic devices to help improve them. We are currently conducting a research study where participants can earn up to $50 for studying with KAR³L. Details can be found here: 
From Feb 26th to May 26th, we will conduct our user study, where there are two ways for you to earn monetary compensation for studying with KAR³L:  https://docs.google.com/document/d/1Ecv ... jn2yxpjpre

1. Base Reward: Users who study 20+ flashcards a day from the GRE deck over 5 unique days will be entered into a raffle to win one of 50 $25 gift cards

2. Power User Reward: Users who give feedback on 75 or more mnemonic devices will be entered into a raffle to win one of 50 $25 gift cards

Let us know what you think, and we hope KAR³L can be useful to help you study for the GRE. Thanks!­

For more background on us,

Nishant:  https://nbalepur.github.io/
Jordan:  https://users.umiacs.umd.edu/~jbg/
Shi:  https://ihsgnef.github.io/
Matt:  https://matthewshu.com/­