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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
Sirinides, Philip; Fink, Ryan – Regional Educational Laboratory Mid-Atlantic, 2014
Faced with rising demand for information about early childhood programs, states need to find tools and strategies to monitor the progress of and to identify high-quality early childhood programs. In response, REL Mid-Atlantic convened a regional workgroup for state personnel who work with the systems containing early childhood data. The workgroup…
Descriptors: Early Childhood Education, Educational Strategies, Educational Practices, Effective Schools Research
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
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
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
Keating, Jean C. – 1993
This paper reports on the implementation of the first two parts of an integrated data base designed to replace the fragmented surveys and data files of Virginia's institutions of higher education. The two parts being examined involve the State Council of Higher Education for Virginia (SCHEV) Student Data Base and the Institutional Information…
Descriptors: College Admission, Data Collection, Data Processing, Database Design
Pettersson, Rune – 1993
Different kinds of pictorial databases are described with respect to aims, user groups, search possibilities, storage, and distribution. Some specific examples are given for databases used for the following purposes: (1) labor markets for artists; (2) document management; (3) telling a story; (4) preservation (archives and museums); (5) research;…
Descriptors: Data Collection, Database Design, Databases, Documentation
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
Hopper, Lisa King – 1992
This conference paper presents a description of how faculty workloads are assessed for fiscal and other purposes at Northern Arizona University (NAU). Following a discussion of workload issues, the paper examines: (1) definition of workload; (2) methodology for data collection; (3) development of a faculty full-time equivalency database and two…
Descriptors: Data Analysis, Data Collection, Data Interpretation, Database Design
Ligon, Glynn; And Others – 1991
The GENESYS (GENeric Evaluation SYStem) evaluation system of the Austin, Texas school system is described, and its second year of operation--1989-90--is reviewed. GENESYS is a method of streamlining data collection and evaluation through the use of computer technology. It gathers and reports the following standard information on specified groups…
Descriptors: Computer Uses in Education, Cost Effectiveness, Data Analysis, Data Collection
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