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Zweig, Jacqueline; Irwin, Clare W.; Kook, Janna Fuccillo; Cox, Josh – Regional Educational Laboratory Northeast & Islands, 2015
The purpose of this study is to describe what data preschools in a mid-sized city in the Northeast collect, how they use that data, and the challenges they face. The study focuses on three types of data: early learning outcomes, dosage (i.e., the amount of exposure to early childhood education), and classroom quality. The report further…
Descriptors: Preschool Education, Data Collection, Early Childhood Education, Educational Quality
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Zweig, Jacqueline; Irwin, Clare W.; Kook, Janna Fuccillo; Cox, Josh – Regional Educational Laboratory Northeast & Islands, 2015
This "Stated Briefly" report is a companion piece that summarizes the results of another report of the same name. This study explores how seven early childhood education programs in a mid-sized city in the Northeast region are collecting and using data, how they would like to use data, how they could use the data that they have, and the…
Descriptors: Preschool Education, Data Collection, Early Childhood Education, Educational Quality
Alabama Department of Education, 2011
This guide is a training and supportive tool for use by local education agencies (LEAs) in the state of Alabama that are utilizing the Science, Technology and Innovation (STI) Information-INow-INFocus information system software. The Graduation Tracking System (GTS) utilizes existing STI technology to capture student information pertaining to…
Descriptors: Guides, Computer Software, Information Management, Student Records
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Khechine, Hager; Lakhal, Sawsen – Journal of Information Technology Education: Research, 2018
Aim/Purpose: We aim to bring a better understanding of technology use in the educational context. More specifically, we investigate the determinants of webinar acceptance by university students and the effects of this acceptance on students' outcomes in the presence of personal characteristics such as anxiety, attitude, computer self-efficacy, and…
Descriptors: Technology Uses in Education, Anxiety, Student Attitudes, Self Efficacy
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Johnson, Evelyn; Semmelroth, Carrie – NASSP Bulletin, 2010
The Early Warning System is a tool developed by the National High School Center to collect data on indicators including attendance, grade point average, course failures, and credits earned. These indicators have been found to be highly predictive of a student's likelihood of dropping out of high school in large, urban areas. The Early Warning…
Descriptors: Suburban Schools, Grade Point Average, Academic Achievement, Predictive Validity
Schaffhauser, Dian – Campus Technology, 2009
Using data to track and manage student enrollment is steadily becoming a standard practice on both two-year and four-year campuses. Data mining enables colleges to create predictive models for identifying behaviors that put students at risk for dropping out, flag students who engage in these behaviors, and help identify practices that work in…
Descriptors: Community Colleges, Educational Strategies, Academic Support Services, Attendance Patterns