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Bresina, Britta Cook; McMaster, Kristen L. – Journal of Learning Disabilities, 2020
Data from a small randomized control trial of teachers' use of Data-Based Instruction (DBI) for early writing were analyzed to determine the influence of teacher knowledge, skills, and treatment fidelity on student Curriculum-Based Measurement (CBM) slope. Participants included 11 elementary grade teachers who delivered intensive intervention in…
Descriptors: Knowledge Base for Teaching, Teaching Skills, Writing Instruction, Curriculum Based Assessment
Rafa, Alyssa – Education Commission of the States, 2017
Research shows that chronic absenteeism can affect academic performance in later grades and is a key early warning sign that a student is more likely to drop out of high school. Several states enacted legislation to address this issue, and many states are currently discussing the utility of chronic absenteeism as an indicator of school quality or…
Descriptors: Attendance Patterns, Academic Achievement, Educational Policy, At Risk Students
McBroom, Jessica; Jeffries, Bryn; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2016
Effective mining of data from online submission systems offers the potential to improve educational outcomes by identifying student habits and behaviours and their relationship with levels of achievement. In particular, it may assist in identifying students at risk of performing poorly, allowing for early intervention. In this paper we investigate…
Descriptors: Data Collection, Student Behavior, Academic Achievement, Correlation
Casey, Kevin – Journal of Learning Analytics, 2017
Learning analytics offers insights into student behaviour and the potential to detect poor performers before they fail exams. If the activity is primarily online (for example computer programming), a wealth of low-level data can be made available that allows unprecedented accuracy in predicting which students will pass or fail. In this paper, we…
Descriptors: Keyboarding (Data Entry), Educational Research, Data Collection, Data Analysis
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
Akhtar, S.; Warburton, S.; Xu, W. – International Journal of Technology and Design Education, 2017
In this paper we report on the use of a purpose built Computer Support Collaborative learning environment designed to support lab-based CAD teaching through the monitoring of student participation and identified predictors of success. This was carried out by analysing data from the interactive learning system and correlating student behaviour with…
Descriptors: Foreign Countries, Undergraduate Students, Electronic Learning, Computer Assisted Instruction
Harmon, Martino – ProQuest LLC, 2013
According to the American Association of Community Colleges (2010), more than 40% of all African American students enrolled in postsecondary education are enrolled in two-year colleges. A review of the literature indicated that improving persistence and completion rates for African American students is a challenge that two-year colleges face. This…
Descriptors: Two Year College Students, Two Year Colleges, African American Students, Student Personnel Services
Jernigan, John Orr – ProQuest LLC, 2010
The purpose of this study was to examine the behavioral and demographic characteristics of deaf males enrolled at state school for the Deaf. An analysis of student, family, and educational variables was conducted in order to provide a composite description of both the type and frequency of the offenses and of the offender. Participants were 90…
Descriptors: At Risk Students, Student Behavior, Males, Information Systems
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