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Alinaghi, Tannaz; Bahreininejad, Ardeshir – International Journal of Distance Education Technologies, 2011
The increasing advances of new Internet technologies in all application domains have changed life styles and interactions. E-learning and collaborative learning environment systems are originated through such changes and aim at providing facilities for people in different times and geographical locations to cooperate, collaborate, learn and work…
Descriptors: Electronic Learning, Educational Environment, Questioning Techniques, Responses
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Faulkner, Robert; Davidson, Jane W.; McPherson, Gary E. – International Journal of Music Education, 2010
The use of data mining for the analysis of data collected in natural settings is increasingly recognized as a legitimate mode of enquiry. This rule-inductive paradigm is an effective means of discovering relationships within large datasets--especially in research that has limited experimental design--and for the subsequent formulation of…
Descriptors: Foreign Countries, Data Processing, Pattern Recognition, Data Analysis
Vialardi, Cesar; Bravo, Javier; Shafti, Leila; Ortigosa, Alvaro – International Working Group on Educational Data Mining, 2009
One of the main problems faced by university students is to take the right decision in relation to their academic itinerary based on available information (for example courses, schedules, sections, classrooms and professors). In this context, this work proposes the use of a recommendation system based on data mining techniques to help students to…
Descriptors: Data Analysis, Higher Education, Course Selection (Students), Enrollment
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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
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Stamper, John; Barnes, Tiffany; Croy, Marvin – International Journal of Artificial Intelligence in Education, 2011
The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…
Descriptors: Cues, Prompting, Learning Strategies, Teaching Methods
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VanLengen, Craig Alan – Information Systems Education Journal, 2010
The Securities and Exchange Commission (SEC) has recently announced a proposal that will require all public companies to report their financial data in Extensible Business Reporting Language (XBRL). XBRL is an extension of Extensible Markup Language (XML). Moving to a standard reporting format makes it easier for organizations to report the…
Descriptors: Programming Languages, Information Dissemination, Data, Accounting
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Xu, Beijie; Recker, Mimi – Journal of Educational Data Mining, 2011
This article describes the Knowledge Discovery and Data Mining (KDD) process and its application in the field of educational data mining (EDM) in the context of a digital library service called the Instructional Architect (IA.usu.edu). In particular, the study reported in this article investigated a certain type of data mining problem, clustering,…
Descriptors: Electronic Libraries, Library Services, Multivariate Analysis, Electronic Learning
Technology & Learning, 2008
When it comes to IT, there has always been an important link between data center control and client flexibility. As computing power increases, so do the potentially crippling threats to security, productivity and financial stability. This article talks about Dell's On-Demand Desktop Streaming solution which is designed to centralize complete…
Descriptors: Computers, Computer Security, Computer Centers, Data Processing
Yanosky, Ronald – EDUCAUSE, 2009
This document presents the key findings from the 2009 ECAR (EDUCAUSE Center for Applied Research) study of institutional data management, which examines the policies and practices by which higher education institutions effectively collect, protect, and use digital information assets to meet academic and business needs. Importantly, it also…
Descriptors: Higher Education, Institutions, Information Management, Information Technology
von Frank, Valerie, Ed. – National Staff Development Council, 2009
This newsletter is published four times a year. It offers articles on school improvement, organizational planning, training, and managing change. This issue contains: (1) Leadership Teams Create Lasting Change (Valerie von Frank); (2) NSDC Tool: Force-Field Analysis; (3) NSDC Tool: Identify Your Internal and External Foci; (4) NSDC Tool: Assess…
Descriptors: Leadership, School Culture, School Administration, Change Agents
Crow, Tracy, Ed. – National Staff Development Council, 2009
This newsletter is published four times a year. It offers articles on school improvement, organizational planning, training, and managing change. This issue contains: (1) Let Data Do the Talking: Clarify Goals and Roles by Examining Data (Valerie von Frank); (2) NSDC Tool: The Responsive School Scan Tool; and (3) NSDC Tool: Data Conversations Put…
Descriptors: Data Processing, Pattern Recognition, Professional Development, Goal Orientation
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Hignite, Karla – EDUCAUSE Review, 2009
Green information technology (IT) is grabbing more mainstream headlines--and for good reason. Computing, data processing, and electronic file storage collectively account for a significant and growing share of energy consumption in the business world and on higher education campuses. With greater scrutiny of all activities that contribute to an…
Descriptors: Higher Education, Energy Conservation, Computers, Educational Technology
Michalski, Greg V. – Association for Institutional Research (NJ1), 2011
Excessive college course withdrawals are costly to the student and the institution in terms of time to degree completion, available classroom space, and other resources. Although generally well quantified, detailed analysis of the reasons given by students for course withdrawal is less common. To address this, a text mining analysis was performed…
Descriptors: College Instruction, Courses, Withdrawal (Education), College Students
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Kovacevic, Aleksandar; Ivanovic, Dragan; Milosavljevic, Branko; Konjovic, Zora; Surla, Dusan – Program: Electronic Library and Information Systems, 2011
Purpose: The aim of this paper is to develop a system for automatic extraction of metadata from scientific papers in PDF format for the information system for monitoring the scientific research activity of the University of Novi Sad (CRIS UNS). Design/methodology/approach: The system is based on machine learning and performs automatic extraction…
Descriptors: Scientific Research, Library Administration, Classification, Information Science
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Chang, Chih-Kai; Chen, Gwo-Dong; Wang, Chin-Yeh – Behaviour & Information Technology, 2011
Functional roles may explain the learning performance of groups. Detecting a functional role is critical for promoting group learning performance in computer-supported collaborative learning environments. However, it is not easy for teachers to identify the functional roles played by students in a web-based learning group, or the relationship…
Descriptors: Foreign Countries, Elementary School Teachers, Middle School Teachers, Group Dynamics
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