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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
Peijiang Chen; Xueyin Yang – International Journal of Web-Based Learning and Teaching Technologies, 2023
With the development of information technology, blended learning has been widely used in the education field, and the evaluation of blended learning effect has become one of the research hotspots. Taking the automobile theory course as an example, a blended learning process with online and offline is designed, and the main learning behaviors that…
Descriptors: Evaluation Methods, Blended Learning, Multiple Regression Analysis, Learning Processes
Yoo, Hanwook; Wolf, Mikyung Kim; Ballard, Laura D. – Practical Assessment, Research & Evaluation, 2023
As the theme of the 2022 annual meeting of the American Education Research Association, cultivating equitable education systems has gained renewed attention amid an increasingly diverse society. However, systemic inequalities persist for traditionally underserved student populations. As a way to better address diverse students' needs, it is of…
Descriptors: Comparative Analysis, Native Language, English Language Learners, Multilingualism