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Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Arndt, Timothy; Guercio, Angela – International Association for Development of the Information Society, 2014
Recently organizations have begun to realize the potential value in the huge amounts of raw, constantly fluctuating data sets that they generate and, with the help of advances in storage and processing technologies, collect. This leads to the phenomenon of big data. This data may be stored in structured format in relational database systems, but…
Descriptors: Higher Education, College Students, Postsecondary Education, Data Collection
Aranha, Solange; Leone, Paola – Research-publishing.net, 2016
This contribution aims at (1) discussing the characteristics of collecting, filing and storing data to have a databank of oral interactions between university students whose main objective is the learning of a second language through teletandem; and (2) defining the steps for further collections and storage. Our data are Skype sessions of foreign…
Descriptors: Databases, Data Collection, College Students, Speech Communication
Daniel, Ben Kei; Butson, Russell – International Association for Development of the Information Society, 2013
This paper examines the role of Big Data Analytics in addressing contemporary challenges associated with current changes in institutions of higher education. The paper first explores the potential of Big Data Analytics to support instructors, students and policy analysts to make better evidence based decisions. Secondly, the paper presents an…
Descriptors: Data Analysis, Higher Education, Data Collection, Foreign Countries
Yu, Chong Ho – 2001
Today many data warehousing systems are data rich, but information poor. Extracting useful information from an ocean of data to support administrative, policy, and instructional decisions becomes a major challenge to both database designers and measurement specialists. This paper focuses on the development of a data processing system that…
Descriptors: Data Collection, Data Processing, Databases, Online Systems
Lukaš, Mirko; Leškovic, Darko – Online Submission, 2007
This study describes one of possible way of usage ICT in education system. We basically treated educational system like Business Company and develop appropriate model for clustering of student population. Modern educational systems are forced to extract the most necessary and purposeful information from a large amount of available data. Clustering…
Descriptors: Educational Technology, Technology Uses in Education, Business, Models
Franklin, Bobby J.; Kochan, Susan – 2000
This paper describes the design and function of Louisiana's statewide student-level database, the Student Information System (SIS). In Louisiana the State Board of Elementary and Secondary Education adopted the dropout definition of the National Center for Education Statistics for use by all Louisiana public schools in the 1989-1990 school year.…
Descriptors: Data Collection, Databases, Dropout Research, Dropouts
Hoffman, Lee McGraw; And Others – 1984
Examples from the evaluation of a program in which data collection systems were developed jointly by the program's staff and evaluators are described. The Louisiana SPUR (Special Plan Upgrading Reading) Project was evaluated by the Louisiana Department of Education Bureau of Evaluation. SPUR involves 63 of the state's 66 public school systems and…
Descriptors: Data Collection, Databases, Elementary Education, Evaluation Methods
Ashburn, Elizabeth A. – 1988
This paper provides information about OERI-funded databases containing information about teachers and teaching, and offers a way of thinking about the use of these databases. It is pointed out that while the Office of Educational Research and Improvement (OERI) is committed to making its work more accessible to policy, research, and practitioner…
Descriptors: Access to Information, Data Collection, Databases, Educational Resources
Hoover, Ryan E. – 1980
This study examines (1) subject content, (2) file size, (3) types of documents indexed, (4) range of years spanned, and (5) level of indexing and abstracting in five databases which collectively provide extensive coverage of the forestry and forest products industries: AGRICOLA, CAB ABSTRACTS, FOREST PRODUCTS (AIDS), PAPERCHEM, and PIRA. The…
Descriptors: Citations (References), Data Collection, Databases, Forestry
Romano, Richard M.; Wisniewski, Martin – 2003
This study shows how community colleges can track almost all of their own students who transfer into both public and private colleges and across state lines using the National Student Clearinghouse (NSC) database. It utilizes data from the student information systems of Broome Community College, New York; Cayuga Community College, New York; the…
Descriptors: Community Colleges, Data Collection, Databases, Postsecondary Education

Elias, A. W., Ed. – Information Services and Use, 1990
These papers presented at a World Health Organization Regional Office for Europe (WHO/EURO) Consultation explore current approaches to environmental health data in Europe. Topics discussed include unified environmental health databases, the use of national hospital registers, health statistics in small areas, expert systems, chemical databases,…
Descriptors: Cancer, Data Collection, Databases, Expert Systems
McClure, Charles R.; And Others – Proceedings of the ASIS Annual Meeting, 1992
Discussion of federal information policy focuses on a study that was conducted to identify federal information/locator systems, i.e., databases that identify information resources. The development of a database containing information on the systems is described, and the concept of a governmentwide information inventory/locator system (GIILS) is…
Descriptors: Access to Information, Data Collection, Databases, Federal Government
Gose, Frank J. – 1989
The accuracy and reliability aspects of data integrity are discussed, with an emphasis on the need for consistency in responsibility and authority. A variety of ways in which data integrity can be compromised are discussed. The following sources of data corruption are described, and the ease or difficulty of identification and suggested actions…
Descriptors: Administrative Problems, Data, Data Collection, Data Processing
Pollock, Charles R. – 1989
Many higher education institutions are focusing on their admissions operations. They are attempting to ensure a steady stream of enrolling students, and/or attempting to ensure the quality or composition of their entering classes. However, many colleges have not developed a comprehensive method of tracking student cohorts, measuring retention, and…
Descriptors: College Students, Computers, Data Analysis, Data Collection