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Perez-Arribas, Luis Vicente; Leon-González, María Eugenia; Rosales-Conrado, Noelia – Journal of Chemical Education, 2017
With the final objective of using computational and chemometrics tools in the chemistry studies, this paper shows the methodology and interpretation of the Principal Component Analysis (PCA) using pollution data from different cities. This paper describes how students can obtain data on air quality and process such data for additional information…
Descriptors: Science Instruction, Chemistry, Teaching Methods, Computer Assisted Instruction
Chen, Zhongzhou; Lee, Sunbok; Garrido, Geoffrey – International Educational Data Mining Society, 2018
The amount of information contained in any educational data set is fundamentally constrained by the instructional conditions under which the data are collected. In this study, we show that by redesigning the structure of traditional online courses, we can improve the ability of educational data mining to provide useful information for instructors.…
Descriptors: Online Courses, Course Organization, Data Analysis, Instructional Design
Rupp, André A.; Nugent, Rebecca; Nelson, Brian – Journal of Educational Data Mining, 2012
In recent years the educational community has increasingly embraced digital technologies for the purposes of developing alternative learning environments, providing diagnostic feedback, and fostering the development of so-called 21st-century skills. This special issue is dedicated to bridging recent work from the disciplines of educational and…
Descriptors: Electronic Learning, Psychometrics, Educational Environment, Educational Technology
Lee, Hyeon Woo – Turkish Online Journal of Educational Technology - TOJET, 2011
As the technology-enriched learning environments and theoretical constructs involved in instructional design become more sophisticated and complex, a need arises for equally sophisticated analytic methods to research these environments, theories, and models. Thus, this paper illustrates a comprehensive approach for analyzing data arising from…
Descriptors: Structural Equation Models, Educational Technology, Educational Research, Multivariate Analysis
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
Valero-Mora, Pedro M.; Ledesma, Ruben D. – Journal of Statistics Education, 2011
This paper discusses the use of interactive graphics to teach multivariate data analysis to Psychology students. Three techniques are explored through separate activities: parallel coordinates/boxplots; principal components/exploratory factor analysis; and cluster analysis. With interactive graphics, students may perform important parts of the…
Descriptors: Data Analysis, Psychology, Computer Graphics, Educational Technology
Chuah, Kee Man; Chen, Chwen Jen; Teh, Chee Siong – Themes in Science and Technology Education, 2008
In recent years, the application of virtual reality (VR) technology in education is rapidly gaining momentum. The educational benefits offered by such technology have prompted many educators as well as instructional designers to investigate ways to create effective and engaging VR learning. Instructional designers have examined widely the…
Descriptors: Instructional Design, Computer Simulation, Web Based Instruction, Educational Environment
Jefferies, Pat; Carsten-Stahl, Bernd; McRobb, Steve – Technology, Pedagogy and Education, 2007
The various political and technological drivers that are currently prevalent within many educational institutions increasingly encourage educationalists to experiment with tools that promote e-learning. Many then engage in this activity in the belief that this will help in the development of more autonomous, responsible learners. Strategies for…
Descriptors: Learning Strategies, Educational Technology, Ethics, Technology Integration
Hanna, Margo – Campus-Wide Information Systems, 2004
Higher education (HE) is becoming a big business, with huge investments in IT technology supporting online learning. With the awareness of the knowledge economy has come a growing consciousness that HE constitutes a large industry or economic sector in its own right. In a marketing fashion, we understand that some customers present much greater…
Descriptors: Higher Education, Business, Economic Impact, Classification