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Mah, Dana-Kristin – Technology, Knowledge and Learning, 2016
Learning analytics and digital badges are emerging research fields in educational science. They both show promise for enhancing student retention in higher education, where withdrawals prior to degree completion remain at about 30% in Organisation for Economic Cooperation and Development member countries. This integrative review provides an…
Descriptors: Educational Research, Data Collection, Data Analysis, Recognition (Achievement)
Kent, Fiona; Francis-Cracknell, Alison; McDonald, Rachael; Newton, Jennifer M.; Keating, Jennifer L.; Dodic, Miodrag – Advances in Health Sciences Education, 2016
Practice based interprofessional education opportunities are proposed as a mechanism for health professionals to learn teamwork skills and gain an understanding of the roles of others. Primary care is an area of practice that offers a promising option for interprofessional student learning. In this study, we investigated what and how students from…
Descriptors: Professional Education, Interprofessional Relationship, Primary Health Care, Clinics
Glander, Mark – National Center for Education Statistics, 2016
This National Center for Education Statistics (NCES) "First Look" report introduces new data for the universe of public elementary and secondary schools and agencies in the United States in school year (SY) 2014-15. Specifically, this report includes statistics that describe: (1) the numbers and types of public elementary and secondary…
Descriptors: Statistical Data, Public Schools, Elementary Schools, Secondary Schools
Hill, Bradford – Science Teacher, 2013
Many high school physics courses have deemphasized mathematics, which has changed the nature and role of the inquiry experiments in them. This article lays out an approach built upon an introductory unit, "Patterns in Nature," which aims to engage students in constructing their understanding of physics through contextualizing and…
Descriptors: Science Instruction, Secondary School Science, High Schools, Physics
Yorke, Mantz; Zaitseva, Elena – Assessment & Evaluation in Higher Education, 2013
Student performance data from a post-92 university in the United Kingdom showed that, for a substantial minority of programmes, there was a general dip in marks between Years 1 and 2. Longitudinal and cross-sectional data were analysed in order to ascertain whether the latter (with its advantage of a more rapid production of results) would make an…
Descriptors: Foreign Countries, Academic Achievement, Data, College Students
Pierce, Robyn; Chick, Helen – Mathematics Education Research Journal, 2013
As a consequence of the increased use of data in workplace environments, there is a need to understand the demands that are placed on users to make sense of such data. In education, teachers are being increasingly expected to interpret and apply complex data about student and school performance, and, yet it is not clear that they always have the…
Descriptors: Statistical Analysis, Misconceptions, Statistics, Data
Ginder, Scott A.; Kelly-Reid, Janice E. – National Center for Education Statistics, 2013
The Integrated Postsecondary Education Data System (IPEDS) collects institution-level data from postsecondary institutions in the United States (50 states and the District of Columbia) and other U.S. jurisdictions. This First Look presents findings from the provisional data of the IPEDS fall 2012 data collection, which included three survey…
Descriptors: Postsecondary Education, Data Collection, Database Management Systems, Institutional Characteristics
Athanases, Steven Z.; Bennett, Lisa H.; Wahleithner, Juliet Michelsen – Teacher Educator, 2013
Data literate educators can generate questions about learning in their classes; collect and analyze classroom data to answer them; and develop inferences and explanations. Two elements may promote data literacy: (a) breadth of classroom-based data collection and (b) depth of analysis. We examined these in inquiries conducted by 80 preservice…
Descriptors: Data Collection, Information Literacy, Classroom Environment, Data Analysis
Hanson, Havala; Yoon, Sun Young – Regional Educational Laboratory Northwest, 2018
Many school districts in the United States are facing severe teacher shortages (Bordonaro, 2017; Palmer, 2017; Seattle Pacific University, 2017; Whaley, 2017). In several states--including Idaho--the difficulty of hiring qualified candidates has expanded beyond historical high-need content areas such as special education and mathematics to include…
Descriptors: School Districts, Teacher Shortage, Teacher Qualifications, Teacher Persistence
Tourangeau, Karen; Nord, Christine; Lê, Thanh; Wallner-Allen, Kathleen; Vaden-Kiernan, Nancy; Blaker, Lisa; Najarian, Michelle – National Center for Education Statistics, 2018
This manual provides guidance and documentation for users of the longitudinal kindergarten-fourth grade (K-4) data file of the Early Childhood Longitudinal Study, Kindergarten Class of 2010-11 (ECLS-K:2011). It mainly provides information specific to the fourth-grade round of data collection. The first chapter provides an overview of the…
Descriptors: Children, Longitudinal Studies, Surveys, Kindergarten
Blazer, Christie – Research Services, Miami-Dade County Public Schools, 2018
Researchers have found that middle school students undergo developmental changes that require unique educational structures and support. As a result, experts have suggested a number of specific strategies for organizing middle schools in order to best meet students' needs. This Information Capsule summarizes middle school redesign initiatives that…
Descriptors: Middle Schools, Middle School Students, Educational Environment, Educational Change
Bradlow, Eric T. – Journal of Educational Measurement, 2013
The van der Linden article (this issue) provides a roadmap for future research in equating. My belief is that the roadmap begins and ends with collecting auxiliary data that can be utilized to provide improved equating, especially when data are sparse or equating beyond simple moments is desired.
Descriptors: Equated Scores, Data Collection, Statistical Analysis, Research
Bittner, Teresa L. – Teaching Statistics: An International Journal for Teachers, 2013
Although researchers have documented that some data make larger contributions than others to predictions made with least squares models, it is relatively unknown that some data actually make no contribution to the predictions produced by these models. This article explores such noncontributory data. (Contains 1 table and 2 figures.)
Descriptors: Least Squares Statistics, Prediction, Models, Statistical Data
Armbrust, Michael Paul – ProQuest LLC, 2013
An increasingly common pattern is for newly-released web applications to succumb to a "Success Disaster". In this scenario, overloaded database machines and resultant high response times destroy a previously good user experience, just as a site is becoming popular. Unfortunately, the data independence provided by a traditional relational…
Descriptors: Web Sites, Databases, Computer Science, Data Processing
Kelly, Nick; Thompson, Kate; Yeoman, Pippa – Journal of Learning Analytics, 2015
This paper describes theory-led design as a way of developing novel tools for learning analytics (LA). It focuses upon the domain of automated discourse analysis (ADA) of group learning activities to help an instructor to orchestrate online groups in real-time. The paper outlines the literature on the development of LA tools within the domain of…
Descriptors: Data Analysis, Data Collection, Computer Assisted Instruction, Cooperative Learning

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