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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
Bahde, Anne – portal: Libraries and the Academy, 2017
This paper explores possibilities for marrying data visualization to online archival finding aids, which have continually suffered from usability issues in their long history. This paper describes a project in which two different data visualization models were built to replace sections of an archival finding aid. Users were then shown the models,…
Descriptors: Visualization, Archives, Data, Usability
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
Balancing Efficiency and Effectiveness for Fusion-Based Search Engines in the "Big Data" Environment
Li, Jieyu; Huang, Chunlan; Wang, Xiuhong; Wu, Shengli – Information Research: An International Electronic Journal, 2016
Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…
Descriptors: Search Engines, Data Processing, Database Management Systems, Data
Li, Qinglan – ProQuest LLC, 2013
Annotations play an increasingly crucial role in scientific exploration and discovery, as the amount of data and the level of collaboration among scientists increases. There are many systems today focusing on annotation management, querying, and propagation. Although all such systems are implemented to take user input (i.e., the annotations…
Descriptors: Documentation, Scientific Research, Data, Users (Information)
Cvetanovic, M.; Radivojevic, Z.; Blagojevic, V.; Bojovic, M. – IEEE Transactions on Education, 2011
This paper presents a Web-based educational system, ADVICE, that helps students to bridge the gap between database management system (DBMS) theory and practice. The usage of ADVICE is presented through a set of laboratory exercises developed to teach students conceptual and logical modeling, SQL, formal query languages, and normalization. While…
Descriptors: Computer Science Education, Engineering, Database Management Systems, Theory Practice Relationship
Wilson, Courtney R.; Trautmann, Nancy M.; MaKinster, James G.; Barker, Barbara J. – Science Teacher, 2010
A new online tool called "Science Pipes" allows students to conduct biodiversity investigations. With this free tool, students create and run analyses that would otherwise require access to unwieldy data sets and the ability to write computer code. Using these data, students can conduct guided inquiries or hypothesis-driven research to…
Descriptors: Investigations, Ecology, Biodiversity, Animals
Multi-Level Modeling of Dyadic Data in Sport Sciences: Conceptual, Statistical, and Practical Issues
Gaudreau, Patrick; Fecteau, Marie-Claude; Perreault, Stephane – Measurement in Physical Education and Exercise Science, 2010
The goal of this article is to present a series of conceptual, statistical, and practical issues in the modeling of multi-level dyadic data. Distinctions are made between distinguishable and undistinguishable dyads and several types of independent variables modeled at the dyadic level of analysis. Multi-level modeling equations are explained in a…
Descriptors: Data, Models, Predictor Variables, Equations (Mathematics)
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Boja, Catalin – Journal of Applied Quantitative Methods, 2006
There are described methods used to minimize data files dimension. There are defined indicators for measuring size of files and databases. The storage optimization process is based on selecting from a multitude of data storage models the one that satisfies the propose problem objective, maximization or minimization of the optimum criterion that is…
Descriptors: Databases, Data, Information Science, Information Storage
Bailey, Brenda L. – New Directions for Institutional Research, 2006
Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)
Descriptors: Graduation Rate, Models, Data, Prediction
Staman, E. Michael – CAUSE/EFFECT, 1986
One of the areas most often neglected by those responsible for information systems in colleges and universities relates to ownership, privacy, confidentiality, and security of data. Background information and definitions are provided, and a suggested environment is described. Model recommendations for institutional policy are offered. (MLW)
Descriptors: College Administration, College Environment, Computer Software, Confidentiality
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers

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