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Edwards, John; Hart, Kaden; Shrestha, Raj – Journal of Educational Data Mining, 2023
Analysis of programming process data has become popular in computing education research and educational data mining in the last decade. This type of data is quantitative, often of high temporal resolution, and it can be collected non-intrusively while the student is in a natural setting. Many levels of granularity can be obtained, such as…
Descriptors: Data Analysis, Computer Science Education, Learning Analytics, Research Methodology
John W. Gardner Center for Youth and Their Communities, 2014
Educators nationwide confront a troubling phenomenon: Increasingly, students leave high school unready for college, as evidenced by high rates of placement into remedial courses and low rates of college completion. Many students also lack either the attitudes or skills essential to succeed in a postsecondary setting, or knowledge of how to apply…
Descriptors: College Readiness, Educational Indicators, Predictor Variables, College Bound Students

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