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Pytlarz, Ian; Pu, Shi; Patel, Monal; Prabhu, Rajini – International Educational Data Mining Society, 2018
Identifying at-risk students at an early stage is a challenging task for colleges and universities. In this paper, we use students' oncampus network traffic volume to construct several useful features in predicting their first semester GPA. In particular, we build proxies for their attendance, class engagement, and out-of-class study hours based…
Descriptors: College Freshmen, Grade Point Average, At Risk Students, Academic Achievement
National Survey of Student Engagement, 2016
The National Survey of Student Engagement (NSSE) and its companion projects serve colleges and universities committed to monitoring and improving the quality of the undergraduate experience. While participating institutions receive detailed customized reports, the "Annual Results" series presents noteworthy aggregate findings from the…
Descriptors: Undergraduate Students, National Surveys, Educational Quality, Student Characteristics
Ornek, Funda; Robinson, William R.; Haugan, Mark R. – Science Education International, 2007
According to many students, introductory physics is difficult. We investigated what students believe makes physics difficult and what can be done to overcome these difficulties. Our investigation included an initial free-response survey given to approximately 1400 students in an introductory physics course and a second survey, which was given to…
Descriptors: Physics, Introductory Courses, Student Surveys, Difficulty Level