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McDonald, Catherine C.; Ward, Kristen; Huang, Yanlan; Wiebe, Douglas J.; Delgado, M. Kit – Health Education & Behavior, 2019
Background: Motor vehicle crashes are the leading cause of adolescent death. Cell phone use while driving is a contributor to adolescent motor vehicle crash risk. Objective and directly observable measures of cell phone use while driving are needed to implement interventions aimed at reducing cell phone-related crash risk. Aims: To describe novel…
Descriptors: Telecommunications, Handheld Devices, Motor Vehicles, Traffic Safety
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Adamu, Idris; Soykan, Emrah – International Online Journal of Education and Teaching, 2019
Articles published in the Web of Science database between 2014 and 2019 (March) were screened in this research. This is because of its respected position in the field of technology and the peer-reviewed secured structure of this database. From a total of 56 articles within the scope of the screening, 46 articles were included in the study. As a…
Descriptors: Dyslexia, Journal Articles, Assistive Technology, Research Methodology
Wallace, Kelli P. – ProQuest LLC, 2019
Response to Intervention (RTI) is a general education initiative intended to identify struggling readers and provide them with early, targeted intervention. The RTI model--which emphasized research-based instruction presented with fidelity along with the use of informed student data--was adopted by many school districts not only to provide…
Descriptors: Response to Intervention, Data Use, Decision Making, Reading Difficulties
Johns, Brendan T.; Jones, Michael N.; Mewhort, D. J. K. – Grantee Submission, 2019
To account for natural variability in cognitive processing, it is standard practice to optimize a model's parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model's fit to…
Descriptors: Language Processing, Models, Information Sources, Linguistics
Anderson, Rebekah; Rip, Nichole – Association for Institutional Research, 2019
The main purpose of institutional research (IR) is to provide objective, systematic, and thorough data that support an institution's enrollment goals, planning, policy formation, and decision making. Traditionally, institutions gathered data on their activities, students and staff, programs, management, and operations. University staff then…
Descriptors: Institutional Research, Data Use, Decision Making, Private Colleges
Washington State Department of Children, Youth, and Families, 2019
This report is prepared in compliance with HB 1661, which requires the Washington State Department of Children, Youth, and Families (DCYF or the Department) to report to the legislature on development of and progress toward achieving outcome goals for children, youth and families. In addition, this report provides an update on other supportive…
Descriptors: Outcome Measures, Accountability, Child Welfare, State Agencies
Peltzman, Alissa; Curl, Cory – Council of Chief State School Officers, 2019
State and school report cards provide a powerful avenue for states to reach families and the broader public as essential partners in improving student outcomes. The federal Every Student Succeeds Act (ESSA) and many state legislatures require states to publish an array of education data including measures at the state, district, and school levels.…
Descriptors: Data Use, Educational Improvement, Equal Education, Decision Making
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Howlin, Colm P.; Dziuban, Charles D. – International Educational Data Mining Society, 2019
Clustering of educational data allows similar students to be grouped, in either crisp or fuzzy sets, based on their similarities. Standard approaches are well suited to identifying common student behaviors; however, by design, they put much less emphasis on less common behaviors or outliers. The approach presented in this paper employs fuzzing…
Descriptors: Data Collection, Student Behavior, Learning Strategies, Feedback (Response)
Wang, Chun; Nydick, Steven W. – Grantee Submission, 2019
Recent work on measuring growth with categorical outcome variables has combined the item response theory (IRT) measurement model with the latent growth curve (LGC) model (e.g., McArdle, 1988) and extended the assessment of growth to multidimensional IRT models (e.g., Hsieh, von Eye, & Maier, 2010; Huang, 2013) and higher-order IRT models…
Descriptors: Longitudinal Studies, Item Response Theory, Comparative Analysis, Models
Kraft, Matthew A. – Annenberg Institute for School Reform at Brown University, 2019
Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In…
Descriptors: Data Interpretation, Effect Size, Intervention, Benchmarking
Murji, Shermin – ProQuest LLC, 2019
The current Canadian higher education environment is one in which there is competition for limited resources, learning must be measured and demonstrated, and student demographics are evolving and changing on a continual basis. The field of Student Affairs in higher education, which traditionally provides support services to students and is often…
Descriptors: Foreign Countries, Strategic Planning, Educational Planning, Student Personnel Services
Godin, Eric – State Higher Education Executive Officers, 2019
State postsecondary education data systems are vital information assets for policymakers, researchers, and the public. The Communities of Practice project (funded by the Bill & Melinda Gates Foundation) at the State Higher Education Executive Officers Association (SHEEO) builds upon SHEEO's ongoing efforts to measure the capacity and effective…
Descriptors: Communities of Practice, Postsecondary Education, Information Systems, Data Use
Raudonyte, Ieva – UNESCO International Institute for Educational Planning, 2019
This Working Paper explores the extent to which learning assessment data influence education policymaking according to the available literature. It presents the key conclusions arising from this literature as well as problematic issues which are still open for discussion. It is based on a broader literature review conducted by the UNESCO…
Descriptors: Data Use, Educational Assessment, Educational Policy, Policy Formation
Love, Patrick – ProQuest LLC, 2019
Circulation studies, as the theory of ecological spread of information, impacts public perception of knowledge-making, and digital circulation (i.e. online information sharing) impacts what people expect online knowledge-making and online education is or should be. Online education is becoming a new norm for students and universities at a time…
Descriptors: Electronic Learning, Online Courses, Information Dissemination, Writing Instruction
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Aleksei Malakhov – International Perspectives on Education and Society, 2019
This chapter presents an overarching overview of how the rather recent technological phenomena, like data mining, machine learning, and artificial intelligence, are applied in the field of education. The author provides examples of how technological developments associated with the so-called Fourth Industrial Revolution are applied in education…
Descriptors: Information Retrieval, Data Analysis, Information Technology, Artificial Intelligence
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