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McKay, Heather; Lane, Patrick; Haviland, Sara; Michael, Suzanne – Western Interstate Commission for Higher Education, 2020
The Multistate Longitudinal Data Exchange (MLDE) facilitates data sharing between states from K-12 education, higher education, and labor agencies. Its goal is to provide practitioners, policymakers, and researchers with a comprehensive data source to understand educational and career trajectories, including how these trajectories can cross state…
Descriptors: Credentials, Postsecondary Education, Interstate Programs, Data Use
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Burgos, Daniel, Ed. – Lecture Notes in Educational Technology, 2020
Learning Analytics become the key for Personalised Learning and Teaching thanks to the storage, categorisation and smart retrieval of Big Data. Thousands of user data can be tracked online via Learning Management Systems, instant messaging channels, social networks and other ways of communication. Always with the explicit authorisation from the…
Descriptors: Learning Analytics, Individualized Instruction, Integrated Learning Systems, Data Collection
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Brahman, Faeze; Varghese, Nikhil; Bhat, Suma; Chaturvedi, Snigdha – International Educational Data Mining Society, 2020
Despite several advantages of online education, lack of effective student-instructor interaction, especially when students need timely help, poses significant pedagogical challenges. Motivated by this, we address the problems of automatically identifying posts that express confusion or urgency from Massive Open Online Course (MOOC) forums. To this…
Descriptors: Automation, Online Courses, Discussion Groups, Identification
Aran Wells Glancy – ProQuest LLC, 2020
Preparing students to use and consume data both inside and outside of school is an important goal in mathematics, science, and engineering education, but even basic data analysis tasks can quickly become complex. Planning and designing classroom data analysis tasks that support students' learning of statistical principals requires an understanding…
Descriptors: Engineering Education, Science Education, Elementary School Students, Grade 5
Xiaotong Yang – ProQuest LLC, 2020
Many popular global model-data fit indices (GFIs), such as Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residuals (SRMSR) are proposed and widely used in the context of structural equation modeling (SEM) with continuous data. The proposed cutoffs of those…
Descriptors: Item Response Theory, Goodness of Fit, Data, Indexes
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Samuel L. Tunstall – Numeracy, 2020
A tension raised in recent scholarship is that between numeracy as a social practice and numeracy as a functional skill set. Such frameworks for conceptualizing numeracy pose a challenge to assessment because what individuals do with numeracy is not the same as what individuals can do (or express) in an assessment setting. This study builds on…
Descriptors: Numeracy, Test Validity, Adults, Measurement
Sabine Gerhartz-Reiter – Sage Research Methods Cases, 2017
In the research project which formed part of my PhD study, I dealt with the topic of inequity in education. My main interest was to find out how (formal) educational careers can be fostered even if the starting position within the system is one which makes a successful educational career very difficult. Despite the fact that in the Austrian…
Descriptors: Case Studies, Research Projects, Research Design, Data Collection
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Finucane, Mariel McKenzie; Martinez, Ignacio; Cody, Scott – American Journal of Evaluation, 2018
In the coming years, public programs will capture even more and richer data than they do now, including data from web-based tools used by participants in employment services, from tablet-based educational curricula, and from electronic health records for Medicaid beneficiaries. Program evaluators seeking to take full advantage of these data…
Descriptors: Bayesian Statistics, Data Analysis, Program Evaluation, Randomized Controlled Trials
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Mathies, Charles – New Directions for Institutional Research, 2018
Evidence-based decision-making requires access to good and reliable data. In recent years, there has been a tremendous increase of data available to institutions, from internal as well as external sources. With this increase in data and its analytics, new challenges and questions arise. One of the most pertinent of which is the ethics and best…
Descriptors: Ethics, Information Utilization, Data, Access to Information
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Zapata-Cardona, Lucía – ZDM: The International Journal on Mathematics Education, 2018
This paper addresses how students explore, construct, validate and use statistical models when facing situations designed from a socio-critical perspective. The case study used is a statistics lesson designed by a statistics teacher and a researcher. The lesson centers on nutritional information and was implemented in a 7th-grade classroom at a…
Descriptors: Statistics, Mathematical Models, Nutrition, Middle School Students
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Natividad, Gloria; Spector, J. Michael; Evangelopoulos, Nicholas – Lecture Notes in Educational Technology, 2018
This book presents a challenging and multi-faceted research project that required state-of-the-art methodological approaches. The project involved analyzing data collected from 10,000 research articles published in ten leading journals in the area of educational technology over 20 years, from January 1994 to December 2014; advanced analytic…
Descriptors: Educational Technology, Educational Research, Periodicals, Data Collection
NWEA, 2018
When Superintendent Curtis Craig, Ed.S., came to the Rensselaer Central Schools Corporation in 2015, he discovered an assessment problem common to many districts. The assessment results--Renaissance STAR and Acuity at the time--were not well aligned to the new, more rigorous standards the district and state had recently adopted. In addition, some…
Descriptors: Alignment (Education), Student Evaluation, Academic Standards, School Districts
Jason Robert Murphy – ProQuest LLC, 2018
Implemented in 2013, the Local Control Funding Formula (LCFF) requires Local Education Agencies (LEA's) to engage in a continuous improvement process that identifies actions that extend and improve services for targeted student groups. The vision of the LCFF is that all stakeholder groups including Staff (certificated, classified, management and…
Descriptors: Data, Visualization, Stakeholders, Access to Information
National Forum on Education Statistics, 2022
Digital inequity has been a long-standing issue in the education community. A lack of home internet and technology devices can not only hinder students' ability to access educational resources at home, but can also have a detrimental effect on student achievement. Education agencies have taken steps over the past decades to address digital…
Descriptors: Access to Computers, Technology Uses in Education, Educational Technology, Internet
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Wild, Chris J. – Statistics Education Research Journal, 2017
"The Times They Are a-Changin'" says the old Bob Dylan song. But it is not just the times that are a-changin'. For statistical literacy, the very earth is moving under our feet (apologies to Carole King). The seismic forces are (i) new forms of communication and discourse and (ii) new forms of data, data display and human interaction…
Descriptors: Statistics, Data, Data Analysis, Influence of Technology
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