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Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
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Andrea Domínguez-Lara; Wulfrano Arturo Luna-Ramírez – International Association for Development of the Information Society, 2022
The automatic code generation is the process of generating source code snippets from a program, i.e., code for generating code. Its importance lies in facilitating software development, particularly important is helping in the implementation of software designs such as engineering diagrams, in such a case, automatic code generation copes with the…
Descriptors: Programming, Coding, Computer Software, Programming Languages
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Torii, Tomoko; Okada, Yuji – Higher Education Forum, 2017
This article reports the results of a nationwide questionnaire survey of 1,104 Japanese higher education institutions conducted in late 2015 and early 2016. Its goal was to investigate the current status and issues related to the utilization and disclosure of educational information. A total of 248 institutions responded to the survey. Based on…
Descriptors: Foreign Countries, Higher Education, Information Dissemination, Information Utilization
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Günhan, Burak Kürsad; Röver, Christian; Friede, Tim – Research Synthesis Methods, 2020
Meta-analyses of clinical trials targeting rare events face particular challenges when the data lack adequate numbers of events for all treatment arms. Especially when the number of studies is low, standard random-effects meta-analysis methods can lead to serious distortions because of such data sparsity. To overcome this, we suggest the use of…
Descriptors: Meta Analysis, Medical Research, Drug Therapy, Bayesian Statistics
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Goldschmidt, Ronaldo; Fernandes de Souza, Isabel; Norris, Monica; Passos, Claudio; Ferlin, Claudia; Cavalcanti, Maria Claudia; Soares, Jorge – Informatics in Education, 2016
The use of computers as teaching and learning tools plays a particularly important role in modern society. Within this scenario, Brazil launched its own version of the "One Laptop per Child" (OLPC) program, and this initiative, termed PROUCA, has already distributed hundreds of low-cost laptops for educational purposes in many Brazilian…
Descriptors: Data Collection, Data Analysis, Computer Uses in Education, Foreign Countries
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Dæhli, Olav; Kristoffersen, Bjørn; Lauvås, Per, Jr.; Sandnes, Tomas – Electronic Journal of e-Learning, 2021
Data modeling is an essential part of IT studies. Learning how to design and structure a database is important when storing data in a relational database and is common practice in the IT industry. Most students need much practice and tutoring to master the skill of data modeling and database design. When a student is in a learning process,…
Descriptors: Game Based Learning, Educational Games, Computer Games, Information Technology
Steber, Kate; Epstein, Dale – Early Childhood Data Collaborative, 2019
Home visiting is an important component of the early childhood (EC) landscape. However, states often fail to prioritize home visiting data when developing their early childhood integrated data systems (ECIDS). Home visiting represents a range of services, models, and programs, each with different data requirements, so integrating the data can be…
Descriptors: Home Visits, Databases, Program Implementation, Geographic Regions
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Hao, Jiangang; Smith, Lawrence; Mislevy, Robert; von Davier, Alina; Bauer, Malcolm – ETS Research Report Series, 2016
Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for…
Descriptors: Evaluation Methods, Games, Computer Assisted Testing, Data Collection
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Mustillo, Thomas; Springer, John A. – International Journal of Social Research Methodology, 2015
We propose relational data modeling as a tool for replacing the ad hoc and uncoordinated approaches commonly used throughout the social sciences to gather, store, and disseminate data. We demonstrate relational data modeling using global electoral and political institutional data. We define a relational data model as a map of concepts, their…
Descriptors: Social Scientists, Data, Models, Concept Mapping
Taheriyan, Mohsen – ProQuest LLC, 2015
Information sources such as relational databases, spreadsheets, XML, JSON, and Web APIs contain a tremendous amount of structured data, however, they rarely provide a semantic model to describe their contents. Semantic models of data sources capture the intended meaning of data sources by mapping them to the concepts and relationships defined by a…
Descriptors: Semantics, Information Sources, Data, Models
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Ella Hartenian; Nicholas J. Horton – Journal of Statistics Education, 2015
The Rail Trail and Property Values dataset includes information on a set of n = 104 homes which sold in Northampton, Massachusetts in 2007. The dataset provides house information (square footage, acreage, number of bedrooms, etc.), price estimates (from Zillow.com) at four time points, location, distance from a rail trail in the community, biking…
Descriptors: Statistics, Physical Activities, Parks, Real Estate
Auspos, Patricia – Annie E. Casey Foundation, 2017
Integrated data systems are often used to inform decision making at the top tiers of local or state government. Policymakers use analyses based on large numbers of integrated data system (IDS) records (from which personal identifying information has been removed) to understand the overlap between cases that receive services from different systems…
Descriptors: Prediction, Models, Data Use, Databases
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Mills, Robert J.; Chudoba, Katherine M.; Olsen, David H. – Journal of Information Systems Education, 2016
The term data scientist has only been in common use since 2008, but in 2016 it is considered one of the top careers in the United States. The purpose of this paper is to explore the growth of data science content areas such as analytics, business intelligence, and big data in AACSB Information Systems (IS) programs between 2011 and 2016. A…
Descriptors: Information Systems, Information Science Education, Statistical Analysis, Data Analysis
Gultz, Michael Jarett – ProQuest LLC, 2012
Based on a review of the existing literature on database design, this study proposed a unified database model to support corporate technology innovation. This study assessed potential support for the model based on the opinions of 200 technology industry executives, including Chief Information Officers, Chief Knowledge Officers and Chief Learning…
Descriptors: Innovation, Databases, Database Design, Corporations
Brown, Kirsty Clarke; Squires, Jim; Connors-Tadros, Lori; Horowitz, Michelle – Center on Enhancing Early Learning Outcomes, 2014
The Center on Enhancing Early Learning Outcomes (CEELO) was asked to review current information on how states are preparing principals to supervise and support early childhood teachers in schools and districts. This document summarizes what is known about principal licensing requirements and professional development in early childhood pedagogy and…
Descriptors: Principals, Administrator Qualifications, Certification, Administrator Education
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