Adaptive formative assessment system based on computerized adaptive testing and the learning memory cycle for personalized learning

Author:

Yang Albert C.M.ORCID,Flanagan Brendan,Ogata Hiroaki

Funder

Japan Society for the Promotion of Science

New Energy and Industrial Technology Development Organization

Japan Science and Technology Agency

National Taiwan University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Education

Reference40 articles.

1. Teacherbot: Interventions in automated teaching;Bayne;Teaching in Higher Education,2015

2. Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle;Chen;Computers & Education,2008

3. Artificial intelligence-assisted personalized language learning: Systematic review and co-citation analysis;Chen,2021

4. Two decades of artificial intelligence in education: Contributors, collaborations, research topics, challenges, and future directions;Chen;Educational Technology & Society,2022

5. Development of adaptive formative assessment system using computerized adaptive testing and dynamic bayesian networks;Choi;Applied Sciences,2020

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