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Showing 1 to 15 of 32 results Save | Export
Rihák, Jirí – International Educational Data Mining Society, 2015
In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…
Descriptors: Mathematics Achievement, Mathematics Skills, Models, Reaction Time
Sabourin, Jennifer; Kosturko, Lucy; FitzGerald, Clare; McQuiggan, Scott – International Educational Data Mining Society, 2015
While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data…
Descriptors: Privacy, Student Records, Data Processing, Data Collection
Mellody, Maureen – National Academies Press, 2014
As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now…
Descriptors: Workshops, Training, Competence, Data Collection
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Niemi, David; Gitin, Elena – International Association for Development of the Information Society, 2012
An underlying theme of this paper is that it can be easier and more efficient to conduct valid and effective research studies in online environments than in traditional classrooms. Taking advantage of the "big data" available in an online university, we conducted a study in which a massive online database was used to predict student…
Descriptors: Higher Education, Online Courses, Academic Persistence, Identification
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Hourigan, Clare – Journal of Institutional Research, 2011
Academic standards and performance outcomes are a major focus of the current Cycle 2 Australian Universities Quality Agency (AUQA) audits. AUQA has clearly stated that universities will need to provide "evidence of setting, maintaining, and reviewing institutional academic standards and outcomes" (2010, p. 27). To do this, universities…
Descriptors: Decision Making, Admission Criteria, Program Improvement, Data Analysis
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
Jones, Ernest L. – 1979
SNAP/SHOT (System Network Analysis Program-Simulated Host Overview Technique) is a discrete simulation of a network and/or host model available through IBM at the Raleigh System Center. The simulator provides an analysis of a total IBM Communications System. Input data must be obtained from RMF, SMF, and the CICS Analyzer to determine the existing…
Descriptors: Computer Oriented Programs, Data Analysis, Data Collection, Data Processing
Cullen, Mike – 1975
In the face of more sophisticated data collection technology, California voters have demonstrated an increasing concern about their own privacy. In response, Assemblyman Cullen has proposed a bill to the state legislature which would require anyone opening an automated information system to send notice to the Secretary of State. This notice would…
Descriptors: Confidentiality, Data Collection, Data Processing, Information Processing
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
Association for Educational Data Systems, Washington, DC. – 1976
Fifteen papers on computer centers and data processing management presented at the Association for Educational Data Systems (AEDS) 1976 convention are included in this document. The first two papers review the recent controversy for proposed licensing of data processors, and they are followed by a description of the Institute for Certification of…
Descriptors: Administration, Certification, Computer Oriented Programs, Computer Science Education
Varty, James W. – 1983
Prepared for cooperative education placement and career service professionals, this paper considers the applications of microcomputers in the development of a comprehensive management information system (MIS) for cooperative education programs. After noting the complicated information needs of cooperative education and common weaknesses of current…
Descriptors: Computer Programs, Cooperative Education, Data Analysis, Data Collection
Burstein, Leigh – 1975
Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…
Descriptors: Data Analysis, Data Collection, Data Processing, Educational Research
Pogrow, Stanley – 1978
Problems associated with uncoordinated proliferation of data collection procedures will not be alleviated until educational agencies and legislative bodies, at both state and federal levels, view data as a scarce resource which must be managed efficiently. Better linkages must be made between the data transfer requirements generated by the…
Descriptors: Agency Cooperation, Computer Storage Devices, Coordination, Data Collection
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