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Showing 16 to 23 of 23 results Save | Export
Gibson, David C.; Webb, Mary; Ifenthaler, Dirk – International Association for Development of the Information Society, 2015
This paper briefly discusses four measurement challenges of data science or "big data" in educational assessments that are enabled by technology: 1. Dealing with change over time via time-based data. 2. How a digital performance space's relationships interact with learner actions, communications and products. 3. How layers of…
Descriptors: Measurement, Data Analysis, Psychometrics, Correlation
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Wang, Wen-Chung; Chen, Hui-Fang; Jin, Kuan-Yu – Educational and Psychological Measurement, 2015
Many scales contain both positively and negatively worded items. Reverse recoding of negatively worded items might not be enough for them to function as positively worded items do. In this study, we commented on the drawbacks of existing approaches to wording effect in mixed-format scales and used bi-factor item response theory (IRT) models to…
Descriptors: Item Response Theory, Test Format, Language Usage, Test Items
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Unlu, Ali; Sargin, Anatol – Applied Psychological Measurement, 2009
Mondrian is state-of-the-art statistical data visualization software featuring modern interactive visualization techniques for a wide range of data types. This article reviews the capabilities, functionality, and interactive properties of this software package. Key features of Mondrian are illustrated with data from the Programme for International…
Descriptors: Statistical Data, Computer Graphics, Computer Software, Item Analysis
Ranguelov, Stanislav; Horvath, Anna; Dalferth, Simon; Noorani, Sogol – Education, Audiovisual and Culture Executive Agency, European Commission, 2011
This report on Key Data on Learning and Innovation through ICT at School in Europe 2011 builds on the previous Eurydice publications on information and communication technology in schools in Europe. It also aims to extend the theoretical framework by looking not only at the teaching and learning of ICT but also at the use of ICT to promote…
Descriptors: Educational Technology, Information Technology, Educational Innovation, Teaching Methods
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Ziya, Engin; Dogan, Nuri; Kelecioglu, Hulya – Turkish Online Journal of Educational Technology - TOJET, 2010
This study aims at determining the extent to which computer using skills specified in Project for International Students Evaluation (PISA) 2006 predict Turkish students' achievement in mathematics. Apart from questions on mathematics, science and reading competencies, a student questionnaire, a school questionnaire and a parent questionnaire were…
Descriptors: Mathematics Achievement, Academic Achievement, Questionnaires, Computers
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Schneider, Thorsten – Electronic Journal of e-Learning, 2004
Selecting elite students out of a huge collective is a difficult task. The main problem is to provide automated processes to reduce human work. ECMS (Educational Contest Management System) is an online tool approach to help--fully or partly automated--with the task of selecting such elite students out of a mass of candidates. International tests…
Descriptors: Management Systems, Selective Admission, Admission Criteria, Automation
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Papanastasiou, Elena C. – Research in Science & Technological Education, 2003
The purpose of this study was to examine how variables related to computer availability, computer comfort and educational software are associated with higher or lower levels of science literacy in the USA, Finland and Mexico, after controlling for the socio-economic status of the students. The analyses for this study were based on a series of…
Descriptors: Foreign Countries, Computers, Educational Technology, Computer Uses in Education
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
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