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Download full textHikmet Sevgin – International Journal of Assessment Tools in Education, 2023
This study aims to conduct a comparative study of Bagging and Boosting algorithms among ensemble methods and to compare the classification performance of TreeNet and Random Forest methods using these algorithms on the data extracted from ABIDE application in education. The main factor in choosing them for analyses is that they are Ensemble methods…
Descriptors: Algorithms, Mathematics Education, Classification, Mathematics Achievement
Direct linkOECD Publishing, 2023
Schools are facing increasing demands to prepare students for rapid economic, environmental and social changes, for jobs that have not yet been created, for technologies that have not yet been invented, and to solve social problems that have not yet been anticipated. Underpinning the E2030 project is the premise that education needs to do more…
Descriptors: Educational Trends, Trend Analysis, Futures (of Society), Mathematics Education
Computers in the Undergraduate Physical Chemistry Laboratory: A Chemistry/Numerical Methods Approach
Peer reviewedNorris, A. C.; Collins, B. A. – International Journal of Mathematical Education in Science and Technology, 1974
Descriptors: Algorithms, Chemistry, College Science, Computers
