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Valle, Danielle Elizabeth – ProQuest LLC, 2016
As online education grows, institutions must develop and evaluate student services to meet the needs of adult online students. The university at which the study was conducted had growing online enrollment, but no systematic examination of services from the students' perspective to drive service development and improvement. This represented a gap…
Descriptors: College Students, Student Personnel Services, Online Systems, Data Analysis
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Regional Educational Laboratory Pacific, 2016
Although high school graduation rates continue to rise in the United States, reaching 81 percent in the 2012-2013 school year (U.S. Department of Education, 2015), dropout remains a pervasive issue for education systems across the nation. In recent years, Early Warning Systems (EWS), which utilize administrative data to identify students at risk…
Descriptors: At Risk Students, Readiness, Dropouts, Educational Strategies
Greer, Maureen; Kilpatrick, Jamie; McCullough, Katy; Reid, Kellen – Center for IDEA Early Childhood Data Systems (DaSy), 2016
This 2016 document is designed to provide state Part C staff with guidance on using fiscal data to analyze and revise their allocation methodology. Allocation methodology is the process -- including practices, strategies, procedures, and policies -- used by Part C state staff to equitably distribute funds to meet the needs of the system, including…
Descriptors: Educational Legislation, Equal Education, Disabilities, Federal Legislation
Knapp, Laura G.; Glennie, Elizabeth; Charles, Karen J. – RTI International, 2016
People providing services to schools, teachers, and students want to know whether these services are effective. With that knowledge, a project director can expand services that work well and adjust implementation of activities that are not working as expected. When finding that an innovative strategy benefits students, a project director might…
Descriptors: Data, Decision Making, Educational Improvement, Academic Achievement
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Atapattu, Thushari; Falkner, Katrina; Tarmazdi, Hamid – International Educational Data Mining Society, 2016
With a goal of better understanding the online discourse within the Massive Open Online Course (MOOC) context, this paper presents an open source visualisation dashboard developed to identify and classify emergent discussion topics (or themes). As an extension to the authors' previous work in identifying key topics from MOOC discussion contents,…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Micheaux, Andrea; Bosio, Birgit – Journal of Marketing Education, 2019
As firms gather increasing amounts of data, the question of how future marketers can use these data to make their marketing more relevant and to make a strategic difference remains. However, students may feel uncomfortable about information systems and database technology, which they may perceive as complex and dry. This case describes how the…
Descriptors: Teaching Methods, Marketing, Data Analysis, Course Descriptions
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Ker, H. W. – Universal Journal of Educational Research, 2014
Multilevel data are very common in educational research. Hierarchical linear models/linear mixed-effects models (HLMs/LMEs) are often utilized to analyze multilevel data nowadays. This paper discusses the problems of utilizing ordinary regressions for modeling multilevel educational data, compare the data analytic results from three regression…
Descriptors: Effective Schools Research, Hierarchical Linear Modeling, Regression (Statistics), Comparative Analysis
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Silverstein, Roni – Regional Educational Laboratory Mid-Atlantic, 2014
Root cause analysis is a powerful method schools use to analyze data to solve problems; it aims to identify and correct the root causes of problems or events, rather than simply addressing their symptoms. Veteran practitioner, Roni Silverstein, presented the value of this process and practical ways to use it in your school or district. This…
Descriptors: Inquiry, Educational Improvement, Data Analysis, Cognitive Mapping
McNamara, Danielle S.; Graesser, Arthur C.; McCarthy, Philip M.; Cai, Zhiqiang – Cambridge University Press, 2014
Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Section I of the book focuses on the theoretical perspectives that led to…
Descriptors: Writing Evaluation, Computational Linguistics, Connected Discourse, Data Analysis
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Brandriet, Alexandra; Holme, Thomas – Journal of Chemical Education, 2015
As part of the ACS Examinations Institute (ACS-EI) national norming process, student performance data sets are collected from professors at colleges and universities from around the United States. Because the data sets are collected on a volunteer basis, the ACS-EI often receives data sets with only students' total scores and without the students'…
Descriptors: Chemistry, Data Analysis, Error of Measurement, Science Tests
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Wise, Alyssa Friend; Shaffer, David Williamson – Journal of Learning Analytics, 2015
It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is a danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the…
Descriptors: Learning Theories, Predictor Variables, Data, Data Analysis
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Dalla Vecchia, Rodrigo – Themes in Science and Technology Education, 2015
This study discusses aspects of the association between Mathematical Modeling (MM) and Big Data in the scope of mathematical education. We present an example of an activity to discuss two ontological factors that involve MM. The first is linked to the modeling stages. The second involves the idea of pedagogical objectives. The main findings…
Descriptors: Mathematics Education, Mathematical Models, Data Analysis, Mathematics Activities
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Han, Kwan Hee; Hwang, Boram; Jeon, Jeonghwan – Innovations in Education and Teaching International, 2015
The university's website is a useful tool in disseminating information to current and future college students and is supportive of the university's administrative activities. However, as the university's website began including more and more information and the design of it has become gradually more complex, it has become hard to find desired…
Descriptors: Web Sites, Navigation (Information Systems), Universities, Departments
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Blikstad-Balas, Marte; Sørvik, Gard Ove – Literacy, 2015
This article addresses how methodological approaches relying on video can be included in literacy research to capture changing literacies. In addition to arguing why literacy is best studied in context, we provide empirical examples of how small, head-mounted video cameras have been used in two different research projects that share a common aim:…
Descriptors: Literacy, Video Technology, Photography, Difficulty Level
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Haya, Pablo A.; Daems, Oliver; Malzahn, Nils; Castellanos, Jorge; Hoppe, Heinz Ulrich – British Journal of Educational Technology, 2015
Learning Analytics constitutes a key tool for supporting Learning Design and teacher-led inquiry into student learning. In this paper, we demonstrate how a Social Learning Analytics toolkit can combine social network analysis and content analysis for supporting a global and formal teacher inquiry. This toolkit not only supports teachers in…
Descriptors: Educational Research, Data Collection, Data Analysis, Socialization
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