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pro vyhledávání: '"Young Ri Lee"'
Autor:
Ka Rene Grimes, Soyoung Park, Amanda McClelland, Jiyeon Park, Young Ri Lee, Maryam Nozari, Zainab Umer, Brenda Zaparolli, Diane Bryant
Publikováno v:
Journal of Numerical Cognition, Vol 7, Iss 3, Pp 388-410 (2021)
Intelligent Tutoring Systems are a genre of highly adaptive software providing individualized instruction. The current study was a conceptual replication of a previous randomized control trial that incorporated the intelligent tutoring system Native
Externí odkaz:
https://doaj.org/article/c4811b275a0645e8af7e4f9c5561b7aa
Autor:
Young Ri Lee, James E. Pustejovsky
Publikováno v:
Psychological Methods.
Cross-classified random effects modeling (CCREM) is a common approach for analyzing cross-classified data in psychology, education research, and other fields. However, when the focus of a study is on the regression coefficients at level one rather th
Autor:
Amanda M. McClelland, Jiyeon Park, Ka Rene Grimes, Maryam Nozari, Brenda Zaparolli, Zainab Umer, Diane Pedrotty Bryant, Young Ri Lee, Soyoung Park
Publikováno v:
Journal of Numerical Cognition. 7:388-410
Intelligent Tutoring Systems are a genre of highly adaptive software providing individualized instruction. The current study was a conceptual replication of a previous randomized control trial that incorporated the intelligent tutoring system Native
Autor:
Young Ri Lee
Publikováno v:
Proceedings of the 2021 AERA Annual Meeting.
Autor:
Sehee Hong, Young Ri Lee
Publikováno v:
The Journal of Experimental Education. 87:641-660
The present study examines bias in parameter estimates and standard error in cross-classified random effect modeling (CCREM) caused by omitting the random interaction effects of the cross-classifie...
Publikováno v:
Survey Research. 17:1-25