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Direct linkTeresa M. Ober; Alex S. Brodersen; Daniella Rebouças-Ju; Maxwell R. Hong; Matthew F. Carter; Cheng Liu; Ying Cheng – Grantee Submission, 2022
Understanding the extent engagement and math attitudes predict performance in statistics courses could inform educational interventions in this subject area, which has growing demand. We examined direct and indirect associations between course engagement-related constructs, math attitudes, and learning outcomes. Confirmatory factor analysis was…
Descriptors: High School Students, Student Attitudes, Mathematics, Statistics Education
Teresa M. Ober; Alex S. Brodersen; Daniella Rebouças-Ju; Maxwell R. Hong; Matthew F. Carter; Cheng Liu; Ying Cheng – Journal for STEM Education Research, 2022
Understanding the extent engagement and math attitudes predict performance in statistics courses could inform educational interventions in this subject area, which has growing demand. We examined direct and indirect associations between course engagement-related constructs, math attitudes, and learning outcomes. Confirmatory factor analysis was…
Descriptors: High School Students, Student Attitudes, Mathematics, Statistics Education
Yikai Lu; Teresa M. Ober; Cheng Liu; Ying Cheng – Grantee Submission, 2022
Machine learning methods for predictive analytics have great potential for uncovering trends in educational data. However, simple linear models still appear to be most widely used, in part, because of their interpretability. This study aims to address the issues of interpretability of complex machine learning classifiers by conducting feature…
Descriptors: Prediction, Statistics Education, Data Analysis, Learning Analytics
Teresa M. Ober; Maxwell R. Hong; Matthew F. Carter; Alex S. Brodersen; Daniella Rebouças-Ju; Cheng Liu; Ying Cheng – Assessment in Education: Principles, Policy & Practice, 2022
We examined whether students were accurate in predicting their test performance in both low-stakes and high-stakes testing contexts. The sample comprised U.S. high school students enrolled in an advanced placement (AP) statistics course during the 2017-2018 academic year (N = 209; M[subscript age] = 16.6 years). We found that even two months…
Descriptors: High School Students, Self Evaluation (Individuals), Student Attitudes, High Stakes Tests
Teresa M. Ober; Maxwell R. Hong; Matthew F. Carter; Alex S. Brodersen; Daniella Rebouças-Ju; Cheng Liu; Ying Cheng – Grantee Submission, 2021
We examined whether students were accurate in predicting their test performance two testing contexts (low-stakes and high-stakes). The sample comprised U.S. high school students enrolled in an advanced placement (AP) statistics course during the 2017-2018 academic year (N=209; M[subscript age]=16.6 years). We found that even two months before…
Descriptors: High School Students, Self Evaluation (Individuals), Student Attitudes, High Stakes Tests
