Publication Date
In 2025 | 2 |
Since 2024 | 6 |
Since 2021 (last 5 years) | 21 |
Since 2016 (last 10 years) | 51 |
Since 2006 (last 20 years) | 123 |
Descriptor
Data Analysis | 330 |
Data Processing | 329 |
Data Collection | 129 |
Higher Education | 59 |
Research Methodology | 46 |
Information Retrieval | 39 |
Databases | 37 |
Statistical Analysis | 37 |
Computers | 36 |
Models | 34 |
Computer Programs | 32 |
More ▼ |
Source
Author
Ingels, Steven J. | 4 |
Antoniadou, Victoria | 2 |
Behrens, John T. | 2 |
Burstein, Leigh | 2 |
Davenport, Jodi | 2 |
Dicerbo, Kristen E. | 2 |
Jones, Calvin | 2 |
Kloberdanz, Monte | 2 |
Levy, Roy | 2 |
Liu, Ran | 2 |
Mislevy, Robert J. | 2 |
More ▼ |
Publication Type
Education Level
Location
United States | 8 |
Australia | 5 |
California | 4 |
Florida | 4 |
China | 3 |
Greece | 3 |
Turkey | 3 |
United Kingdom | 3 |
Brazil | 2 |
Finland | 2 |
India | 2 |
More ▼ |
Laws, Policies, & Programs
Elementary and Secondary… | 2 |
Job Training Partnership Act… | 2 |
Elementary and Secondary… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Jackson, Michael; Diliberti, Melissa; Kemp, Jana; Hummel, Steven; Cox, Christina; Gbondo-Tugbawa, Komba; Simon, Dillon – National Center for Education Statistics, 2018
The School Survey on Crime and Safety (SSOCS) is managed by the National Center for Education Statistics (NCES) within the Institute of Education Sciences of the U.S. Department of Education. SSOCS collects extensive crime and safety data from principals and administrators of public schools in the United States. Data from this collection can be…
Descriptors: School Surveys, Crime, School Safety, Public Schools
Figlio, David; Karbownik, Krzysztof; Salvanes, Kjell – Education Finance and Policy, 2017
Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…
Descriptors: Educational Research, Data, Information Utilization, Management Information Systems
Houghton, David M.; Schertzer, Clint; Beck, Scott – Marketing Education Review, 2018
Marketing analytics students who can communicate effectively with decision makers are in high demand. These "analytic unicorns" are hard to find. The Master of Science in Customer Analytics (MSCA) degree program at Xavier University seeks to fill that need. In this paper, we discuss the process of creating the MSCA program. We outline…
Descriptors: Business Administration Education, Course Descriptions, Curriculum Design, Curriculum Development
Selent, Douglas; Patikorn, Thanaporn; Heffernan, Neil – Grantee Submission, 2016
In this paper, we present a dataset consisting of data generated from 22 previously and currently running randomized controlled experiments inside the ASSISTments online learning platform. This dataset provides data mining opportunities for researchers to analyze ASSISTments data in a convenient format across multiple experiments at the same time.…
Descriptors: Intelligent Tutoring Systems, Data, Randomized Controlled Trials, Electronic Learning
P. Janelle McFeetors – Sage Research Methods Cases, 2016
This case study describes an experience of using constructivist grounded theory to analyze data. The project investigated how high school students improved their approaches to learning mathematics. Over 4 months, students participated in processes which supported their learning while simultaneously generating data, including interactive writing,…
Descriptors: High School Students, Mathematics Education, Data Analysis, Data Interpretation
Slater, Stefan; Joksimovic, Srecko; Kovanovic, Vitomir; Baker, Ryan S.; Gasevic, Dragan – Journal of Educational and Behavioral Statistics, 2017
In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research. We will…
Descriptors: Data Analysis, Data Processing, Computer Uses in Education, Educational Research
Liu, Ran; Stamper, John; Davenport, Jodi – Grantee Submission, 2018
Temporal analyses are critical to understanding learning processes, yet understudied in education research. Data from different sources are often collected at different grain sizes, which are difficult to integrate. Making sense of data at many levels of analysis, including the most detailed levels, is highly time-consuming. In this paper, we…
Descriptors: Intelligent Tutoring Systems, Learning, Data Analysis, Student Development
Ashraf, Rasha – Journal of Education for Business, 2017
This article presents Python codes that can be used to extract data from Securities and Exchange Commission (SEC) filings. The Python program web crawls to obtain URL paths for company filings of required reports, such as Form 10-K. The program then performs a textual analysis and counts the number of occurrences of words in the filing that…
Descriptors: Information Retrieval, Search Engines, Search Strategies, Online Searching
Zhao, Jensen; Zhao, Sherry Y. – Journal of Education for Business, 2016
E-business, e-education, e-government, social media, and mobile services generate and capture trillions of bytes of data every second about customers, suppliers, employees, and other types of data. The growing quantity of big data is an important part of every sector in the global economy. However, there is a significant shortage of business data…
Descriptors: Business Administration Education, Business Schools, Data Analysis, Data Processing
Antoniadou, Victoria – Research-publishing.net, 2017
Reflecting the inter-connected reality of today's world, contemporary education is striving to keep up with the exponentially rapid changes that individuals around the globe are facing. Innovative educational proposals carry labels such as connective learning (Downes, 2006), e-learning 2.0 (Downes, 2005), education 2.0 (Carr et al., 2008), or…
Descriptors: Data Collection, Data Analysis, Qualitative Research, Data Processing
Teymourlouei, Haydar – ProQuest LLC, 2013
The emerging large datasets have made efficient data processing a much more difficult task for the traditional methodologies. Invariably, datasets continue to increase rapidly in size with time. The purpose of this research is to give an overview of some of the tools and techniques that can be utilized to manage and analyze large datasets. We…
Descriptors: Data Analysis, Data Processing, Space Exploration, Methods
Pouchard, Line; Bracke, Marianne Stowell – Issues in Science and Technology Librarianship, 2016
This paper describes a survey of data practices given to the Purdue College of Agriculture. Data practices are a concern for many researchers with new governmental funding mandates that require data management plans, and for the institution providing resources to comply with these mandates. The survey attempted to answer these questions: What are…
Descriptors: Agricultural Education, Case Studies, Data Processing, Data
Schwendimann, Beat A.; Rodriguez-Triana, Maria Jesus; Vozniuk, Andrii; Prieto, Luis P.; Boroujeni, Mina Shirvani; Holzer, Adrian; Gillet, Denis; Dillenbourg, Pierre – IEEE Transactions on Learning Technologies, 2017
This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning…
Descriptors: Literature Reviews, Educational Research, Data Analysis, Data Processing
Lewis, Jonathan S. – ProQuest LLC, 2017
Paid employment is one of the most common extracurricular activities among full-time undergraduates, and an array of studies has attempted to measure its impact. Methodological concerns with the extant literature, however, make it difficult to draw reliable conclusions. Furthermore, the research on working college students has little to say about…
Descriptors: Work Experience, Leadership Training, Beliefs, Leadership
Jakab, Imrich; Ševcík, Michal; Grežo, Henrich – Electronic Journal of e-Learning, 2017
The methods of geospatial data processing are being continually innovated, and universities that are focused on educating experts in Environmental Science should reflect this reality with an elaborate and purpose-built modernization of the education process, education content, as well as learning conditions. Geographic Information Systems (GIS)…
Descriptors: Models, Higher Education, Geographic Information Systems, Environmental Education