Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Stephen J. Finch"'
Publikováno v:
Frontiers in Education, Vol 8 (2023)
IntroductionAs artificial intelligence (AI) technology becomes more widespread in the classroom environment, educators have relied on data-driven machine learning (ML) techniques and statistical frameworks to derive insights into student performance
Externí odkaz:
https://doaj.org/article/c104d692d872432a821e6a8e194de180
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 18, Iss 1, Pp 1-23 (2021)
Abstract Educators seek to harness knowledge from educational corpora to improve student performance outcomes. Although prior studies have compared the efficacy of data mining methods (DMMs) in pipelines for forecasting student success, less work has
Externí odkaz:
https://doaj.org/article/142d78d4550f4ff1b3c61c8926b404a3
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 3, Iss , Pp 100067- (2022)
Educators seek to develop accurate and timely prediction models to forecast student retention and attrition. Although prior studies have generated single point estimates to quantify predictive efficacy, much less education research has examined varia
Externí odkaz:
https://doaj.org/article/591d15107003480cb065c673a26c85cd
Autor:
Roberto Bertolini, Stephen J. Finch
Publikováno v:
International Journal of Data Science and Analytics.
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 18, Iss 1, Pp 1-23 (2021)
International Journal of Educational Technology in Higher Education
International Journal of Educational Technology in Higher Education
Educators seek to harness knowledge from educational corpora to improve student performance outcomes. Although prior studies have compared the efficacy of data mining methods (DMMs) in pipelines for forecasting student success, less work has focused
Publikováno v:
Journal of Science Education and Technology. 30:193-209
High levels of attrition characterize undergraduate science courses in the USA. Predictive analytics research seeks to build models that identify at-risk students and suggest interventions that enhance student success. This study examines whether inc
Publikováno v:
Substance Abuse. 40:221-228
Background: The adverse consequences of major depressive disorder (MDD) and posttraumatic stress disorder (PTSD) affect a significant portion of the US population every year (i.e., 15 million for MDD; 8 million for PTSD) and are of public health conc
Autor:
Roberto Bertolini, Stephen J. Finch
Publikováno v:
International Journal of Data Mining, Modelling and Management. 14:217
Publikováno v:
Statistics for Biology and Health ISBN: 9783030611200
This chapter is critically important for researchers who work in statistical genetics. Here, we provide mathematical statistics methods that allow researchers to quantify the effects of different types of mixtures in their genetic linkage and associa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1326f7fd3d36ba96058ff7fa19121e00
https://doi.org/10.1007/978-3-030-61121-7_5
https://doi.org/10.1007/978-3-030-61121-7_5
Publikováno v:
Statistics for Biology and Health ISBN: 9783030611200
We provide definitions of misclassification errors for different types of genomic data, as well as examples of how they may arise. We discuss statistical methods to detect misclassification errors, and several mathematical models that indicate the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4468ab6963ca894306c03e079a9a8c5
https://doi.org/10.1007/978-3-030-61121-7_2
https://doi.org/10.1007/978-3-030-61121-7_2