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Gray, Geraldine; McGuinness, Colm; Owende, Philip; Hofmann, Markus – Journal of Learning Analytics, 2016
This paper reports on a study to predict students at risk of failing based on data available prior to commencement of first year. The study was conducted over three years, 2010 to 2012, on a student population from a range of academic disciplines, n=1,207. Data was gathered from both student enrollment data and an online, self-reporting,…
Descriptors: Prediction, At Risk Students, Academic Failure, College Freshmen
Fouche, Jaunine – ProQuest LLC, 2013
The purpose of this nonequivalent control group design study was to evaluate the effectiveness of metacognitive and self-regulatory strategy use on the assessment achievement of 215 9th-grade, residential physics students from low socioeconomic status (low-SES) backgrounds. Students from low-SES backgrounds often lack the self-regulatory habits…
Descriptors: Control Groups, Metacognition, Self Control, Grade 9
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Sabourin, Jennifer L.; Rowe, Jonathan P.; Mott, Bradford W.; Lester, James C. – Journal of Educational Data Mining, 2013
Over the past decade, there has been growing interest in real-time assessment of student engagement and motivation during interactions with educational software. Detecting symptoms of disengagement, such as off-task behavior, has shown considerable promise for understanding students' motivational characteristics during learning. In this paper, we…
Descriptors: Student Behavior, Classification, Learner Engagement, Data Analysis
Winquist, Trancita – ProQuest LLC, 2010
This study was conducted to examine characteristics contributing to high self control for incarcerated youth. Subjects include fifty youth (8 females and 42 males) ages 14 through 18 incarcerated for at least 60 days. Data on subjects' responses from a validated measure (Grasmick et. al. Scale, 1993) and data from historical records, STAR reading…
Descriptors: Self Control, Academic Achievement, Data Analysis, Research Methodology
Rus, Vasile; Lintean, Mihai; Azevedo, Roger – International Working Group on Educational Data Mining, 2009
This paper presents several methods to automatically detecting students' mental models in MetaTutor, an intelligent tutoring system that teaches students self-regulatory processes during learning of complex science topics. In particular, we focus on detecting students' mental models based on student-generated paragraphs during prior knowledge…
Descriptors: Data Analysis, Prior Learning, Cognitive Structures, College Students
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Hale, James B.; Reddy, Linda A.; Semrud-Clikeman, Margaret; Hain, Lisa A.; Whitaker, James; Morley, Jessica; Lawrence, Kyle; Smith, Alex; Jones, Nicole – Journal of Learning Disabilities, 2011
Methylphenidate (MPH) often ameliorates attention-deficit/hyperactivity disorder (ADHD) behavioral dysfunction according to "indirect" informant reports and rating scales. The standard of care behavioral MPH titration approach seldom includes "direct" neuropsychological or academic assessment data to determine treatment…
Descriptors: Academic Achievement, Attention Deficit Hyperactivity Disorder, Rating Scales, Short Term Memory
Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers