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Showing 1 to 15 of 17 results Save | Export
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January, Stacy-Ann A.; Van Norman, Ethan R.; Christ, Theodore J.; Ardoin, Scott P.; Eckert, Tanya L.; White, Mary Jane – School Psychology Review, 2018
The present study examined the utility of two progress monitoring assessment schedules (bimonthly and monthly) as alternatives to monitoring once weekly with curriculum-based measurement in reading (CBM-R). General education students (N = 93) in Grades 2-4 who were at risk for reading difficulties but not yet receiving special education services…
Descriptors: Progress Monitoring, Reading Improvement, Reading Tests, Student Evaluation
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Cohen, Anat – Educational Technology Research and Development, 2017
Persistence in learning processes is perceived as a central value; therefore, dropouts from studies are a prime concern for educators. This study focuses on the quantitative analysis of data accumulated on 362 students in three academic course website log files in the disciplines of mathematics and statistics, in order to examine whether student…
Descriptors: Academic Persistence, Predictor Variables, Dropouts, At Risk Students
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Beemer, Joshua; Spoon, Kelly; Fan, Juanjuan; Stronach, Jeanne; Frazee, James P.; Bohonak, Andrew J.; Levine, Richard A. – Journal of Statistics Education, 2018
Estimating the efficacy of different instructional modalities, techniques, and interventions is challenging because teaching style covaries with instructor, and the typical student only takes a course once. We introduce the individualized treatment effect (ITE) from analyses of personalized medicine as a means to quantify individual student…
Descriptors: Learning Modalities, Academic Achievement, Intervention, Educational Research
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Kelly, Nick; Montenegro, Maximiliano; Gonzalez, Carlos; Clasing, Paula; Sandoval, Augusto; Jara, Magdalena; Saurina, Elvira; Alarcón, Rosa – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to demonstrate the utility of combining event-centred and variable-centred approaches when analysing big data for higher education institutions. It uses a large, university-wide data set to demonstrate the methodology for this analysis by using the case study method. It presents empirical findings about…
Descriptors: Educational Research, Data Collection, Data Analysis, Units of Study
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Lu, Owen H. T.; Huang, Anna Y. Q.; Huang, Jeff C. H.; Lin, Albert J. Q.; Ogata, Hiroaki; Yang, Stephen J. H. – Educational Technology & Society, 2018
Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Data Collection
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Rahat, Enes; Ilhan, Tahsin – Educational Sciences: Theory and Practice, 2016
The purpose of the present study is to investigate how well coping styles, social support, relational self-construal, and resilience characteristics predict first year university students' ability to adjust to university life. Participants consisted of 527 at-risk students attending a state university in Turkey. The Personal Information Form, Risk…
Descriptors: Foreign Countries, Coping, Social Support Groups, Self Concept
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Lu, Owen H. T.; Huang, Jeff C. H.; Huang, Anna Y. Q.; Yang, Stephen J. H. – Interactive Learning Environments, 2017
As information technology continues to evolve rapidly, programming skills become increasingly crucial. To be able to construct superb programming skills, the training must begin before college or even senior high school. However, when developing comprehensive training programmers, the learning and teaching processes must be considered. In order to…
Descriptors: Learner Engagement, Outcomes of Education, Online Courses, Educational Research
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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
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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
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Ticknor, Cindy S.; Shaw, Kimberly A.; Howard, Timothy – Journal of College Reading and Learning, 2014
Many institutions struggle to develop a meaningful way to assess the effectiveness of drop-in tutorial services provided to students. This article discusses the development of a data collection system based on a visitor sign-in system that proved to be an efficient method of gathering assessment data, including frequency of visits, end-of-course…
Descriptors: Tutoring, Instructional Effectiveness, Data Collection, Efficiency
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Cumming, John M.; Gloeckner, Gene W. – Administrative Issues Journal: Education, Practice, and Research, 2012
After interviewing homeless high school students, the research team in a Colorado school district discovered that many students had not revealed their true living conditions (homelessness) to anyone in the school district. This research team developed an anonymous survey written around the homeless categories identified in the McKinney-Vento…
Descriptors: Homeless People, High School Students, Surveys, School Districts
Obiamalu, Reginald – ProQuest LLC, 2013
The purpose of study was to examine the attributes of teachers of urban continuation high schools in Los Angeles Unified School District. The research questions were: 1. What are the attributes of veteran teachers and new teachers as prepared to teach at-risk students in alternative high schools? and 2. How do alternative high school teachers…
Descriptors: Secondary School Teachers, High Schools, Beginning Teachers, Experienced Teachers
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Hedley, Mikell Lynne; Templin, Mark A.; Czaljkowski, Kevin; Czerniak, Charlene – Journal of Geoscience Education, 2013
Many 21st century careers rely on geospatial skills; yet, curricula and professional development lag behind in incorporating these skills. As a result, many teachers have limited experience or preparation for teaching geospatial skills. One strategy for overcoming such problems is the creation of a student/teacher/scientist (STS) partnership…
Descriptors: Spatial Ability, High School Students, At Risk Students, Summer Programs
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Wright, Vivian H.; Burnham, Joy J. – Professional Counselor, 2012
This study sought to develop meaningful and engaging virtual cyberbullying scenarios in digital environments that reflect the educational needs of today's adolescents. In order to inform and script these scenarios, a threestage study was implemented with middle schools. This paper describes how data collected in each stage informed the…
Descriptors: Bullying, Prevention, Computer Mediated Communication, School Counselors
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Bowers, Alex J. – Journal of Educational Research, 2010
Studies of student risk of school dropout have shown that present predictors of at-risk status do not accurately identify a large percentage of students who eventually drop out. Through the analysis of the entire Grade 1-12 longitudinal cohort-based grading histories of the class of 2006 for two school districts in the United States, the author…
Descriptors: Grade Point Average, Dropouts, Graduation, At Risk Students
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