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Machine Learning Applications in Education
Thu, May 4, 2:30 to 4:00pm CDT (2:30 to 4:00pm CDT), Division D Virtual Sessions, Division D - Section 2: Quantitative Methods and Statistical Theory Virtual Paper RoomSession Type: Virtual Paper Session
Abstract
The set of four papers demonstrated applications of different machine learning techniques in education for different purposes.
Sub Unit
Chair
Papers
A Topic Model Analysis of Educational Research in Education and Science Journal - Cigdem Akin Arikan, Ordu University; Constanza Mardones-Segovia, University of Georgia; Allan S. Cohen, University of Georgia
How to Tell Successful and Unsuccessful Online Learners: A "Grey-Box" Approach to Student Profiling - Hui Shi, Florida State University; Yihang Zhou, Tongji University
TIMSS Student and Teacher Predictors for Interest in Learning Mathematics Explored via Machine Learning, Mnet - Miryeong Koo, Korea National University of Education; Jin Eun Yoo, Korea National University of Education
Using Machine Learning to Identify Predictors Contributing to the College Enrollment of High School Students With Lower Socioeconomic Status - Surina He, University of Alberta; Mehrdad Yousefpoori-Naeim, University of Alberta; Ying Cui, University of Alberta; Maria Cutumisu, McGill University