Riiid research papers demonstrate technology advancement and pioneership in the field of AI for education
"AI in education (AIEd) is where diverse fields such as learning science, pedagogy, and cognitive psychology work in a comprehensive manner," said Jason Juneyoung Park, AI Research Lead at Riiid. "Riiid has been collecting anonymized data since 2015 when AI was not receiving much attention, and we continue to put our focus in AIEd research and widen technological advancement in research capabilities."
Two papers accepted at LAK 21 in March are studies on predicting learning behaviors and maximizing learning effects. The paper, 'SAINT+: Integrating Temporal Features for EdNet Correctness Prediction,' defines and applies data related to learning time such as problem solving time and answer submission time to dramatically increase the accuracy of the answer correctness prediction algorithm. In the other paper titled, 'Recommendation for Effective Standardized Exam Preparation,' an algorithm is presented that selects and recommends problems that maximize the learning effect by predicting learners' learning skills and improve those skills with additional learning tools such as online lecture videos.
At AIED 21, Riiid's paper was recognized for diagnosing the learner's learning status with minimum questions and assessing the reliability of the prediction model.
At EDM 21, a Riiid paper highlights a structure for increasing reliability of AI models and improving learning deviations and score prediction algorithms. In particular, the paper 'Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction' accepted at EDM was nominated for best paper. The paper proposes a method for reducing the error rate compared to the current highest accuracy model by four percent by applying the latest natural language processing technology for the first time in AIEd.
In 2020, Riiid publicly unveiled the world's largest learning dataset, 'EdNet' to pioneer AIEd research efforts and held a global algorithm challenge that incorporates the EdNet. Earlier this year, Riiid hosted a workshop for the development of AIEd at AAAI, one of the world's most prestigious AI conferences. In August, the formation of EdSAFE AI Alliance to establish a healthy ecosystem in the AIEd industry was announced at the ASU+GSV Summit in partnership with DXtera Institute. Organizations involved in the initiative also include Carnegie Learning, ETS, GSV Ventures, UL, Digital Promise, the German Alliance for Education, and Education Alliance Finland, among others. UNESCO has signed on as mission supporters as well.
For more detailed information on Riiid, visit https://company.riiid.co/en/main.
About Riiid
Riiid (https://company.riiid.co/en/main) is a global leader in AI solutions for education, backed by more than $250 million (USD) in funding and named in the 2021 CB Insights AI 100 list of the most innovative AI startups. Leveraging the power of AI, the company is driving a paradigm shift in education with technology that personalizes instruction for all students, with the aim of democratizing quality education anywhere in the world. The company provides solutions for K-12 education, postsecondary education and corporate training. As a leading force in AI technology, Riiid has published research papers at top AI conferences including NeurIPS, CSEDU, and LAK. The company has applied for more than 133 patents, 27 of which are registered. In 2020, Riiid established the company's global arm based in Silicon Valley, California, to expand its business across the U.S., South America, Middle East and beyond.
Born2Global Centre
Born2Global Centre (www.born2global.com) is a full-cycle service platform for global expansion. Since its inception in 2013, Born2Global has been setting the standard for a successful startup ecosystem as the main Korean government agency under the Ministry of Science and ICT. Born2Global has expanded and transformed startups to be engaged, equipped and connected with the global market.
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