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Showing 1 to 15 of 16 results Save | Export
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Aom Perkash; Qaisar Shaheen; Robina Saleem; Furqan Rustam; Monica Gracia Villar; Eduardo Silva Alvarado; Isabel de la Torre Diez; Imran Ashraf – Education and Information Technologies, 2024
Developing tools to support students, educators, intuitions, and government in the educational environment has become an important task to improve the quality of education and learning outcomes. Information and communication technology (ICT) is adopted by educational institutions; one such instance is video interaction in flipped teaching.…
Descriptors: Academic Achievement, Colleges, Artificial Intelligence, Predictor Variables
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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
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Mabula, Salyungu – Journal of Education and Practice, 2015
This study investigated the performance of secondary school students in Mathematics at the Selected Secondary Schools in Mtwara Municipality and Ilemela District by Absenteeism, Conduct, Type of School and Gender as explanatory Factors. The data used in the study was collected from documented records of 250 form three students with 1:1 gender…
Descriptors: Foreign Countries, Mathematics Instruction, Secondary School Mathematics, Secondary School Students
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Dvorak, Tomas; Jia, Miaoqing – Journal of Learning Analytics, 2016
This study analyzes the relationship between students' online work habits and academic performance. We utilize data from logs recorded by a course management system (CMS) in two courses at a small liberal arts college in the U.S. Both courses required the completion of a large number of online assignments. We measure three aspects of students'…
Descriptors: Online Courses, Educational Technology, Study Habits, Academic Achievement
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Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
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Davis, Elisabeth; Stephan, Jennifer L.; Lindsay, Jim; Park, So Jung – Regional Educational Laboratory Midwest, 2016
This study examined the early college success of students who graduated from an Indiana high school in 2010 and enrolled immediately in a public two-year or four-year college in Indiana. The study team identified data elements in Indiana's Student Information System that predicted the early college success of this cohort of students. Half of…
Descriptors: High School Students, Public Colleges, Predictor Variables, Academic Achievement
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Stephan, Jennifer L.; Davis, Elisabeth; Lindsay, Jim; Miller, Shazia – Regional Educational Laboratory Midwest, 2015
This study examined whether data on Indiana high school students, their high schools, and the Indiana public colleges and universities in which they enroll predict their academic success during the first two years in college. The researchers obtained student-level, school-level, and university-related data from Indiana's state longitudinal data…
Descriptors: High School Students, Public Colleges, Predictor Variables, Academic Achievement
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Reeve, Johnmarshall; Lee, Woogul – Journal of Educational Psychology, 2014
Changes in motivation anticipate changes in engagement, but the present study tested the reciprocal relation that changes in students' classroom engagement lead to corresponding longitudinal changes in their classroom motivation. Achievement scores and multiple measures of students' course-specific motivation (psychological need satisfaction,…
Descriptors: Learner Engagement, Student Motivation, Correlation, Scores
Corcoran, Sean P.; Nathanson, Lori; Kemple, James J. – Society for Research on Educational Effectiveness, 2012
This paper estimates the impact of attending a preferred high school on mediating factors of student success, including engagement, behavior, and attendance. For example, the authors ask whether students are more engaged with their school or have higher attendance when successfully matched to their first choice versus their second (or lower)…
Descriptors: School Choice, Economically Disadvantaged, Success, Learner Engagement
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Klapproth, Florian; Schaltz, Paule – International Journal of Higher Education, 2013
If teachers knew in advance whether their students are at risk of school failure, they would have the opportunity to supply these students with additional or special instruction. In Luxembourg, the likelihood of failure in school is particularly high. Taking this result into account, this paper deals with the identification of variables of primary…
Descriptors: At Risk Students, Academic Failure, Foreign Countries, Elementary School Students
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Butler, Bettie Ray; Lewis, Chance W.; Moore, James L., III; Scott, Malcolm E. – Journal of Negro Education, 2012
One frequently held assumption found within the school discipline literature suggests that students of color- particularly African American, male, low-income populations- are at an increased risk of receiving exclusionary discipline sanctions. Aside from race, gender, and socioeconomic status; however, less is known about other factors that…
Descriptors: Discipline, Sanctions, Discipline Policy, Educational Practices
Oyadomari-Chun, Tammi J. – ProQuest LLC, 2010
Many studies examine the impact of students' characteristics and behaviors on high school outcomes: high school completion, college enrollment or college completion. This study uses regression analyses to explore the association of students' characteristics and behaviors and students' positive high school outcomes: graduating on-time, enrolling in…
Descriptors: Student Records, High School Graduates, Program Effectiveness, Student Characteristics
Williams, Joseph R. – ProQuest LLC, 2009
This study explored the trauma histories of individual students in a population of 78 regular education students who were placed in a countywide alternative program in lieu of expulsion. The study also explores the association between the trauma histories and the behavioral, emotional, and academic impairments of these students. Based on an…
Descriptors: Student Records, Mental Disorders, Rating Scales, Public Education
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
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Lane, Kathleen Lynne; Menzies, Holly M. – Behavioral Disorders, 2005
This paper examined: (a) the accuracy of teacher nominations in identifying (n = 86) students with and without academic and behavioral concerns; and (b) the degree to which these different types of students responded to the multileveled intervention program. Results suggest that teachers were highly accurate in discriminating among students with…
Descriptors: Intervention, Academic Achievement, Predictor Variables, Behavior Problems
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