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Munch, Elizabeth – Journal of Learning Analytics, 2017
Topological data analysis (TDA) is a collection of powerful tools that can quantify shape and structure in data in order to answer questions from the data's domain. This is done by representing some aspect of the structure of the data in a simplified topological signature. In this article, we introduce two of the most commonly used topological…
Descriptors: Data Analysis, Topology, Graphs, Proximity
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Mayes, Howard; Wong, Chung F. – Journal of Chemical Education, 2018
A new program, ECEP2D, for simulating the one-dimensional (1D) and two-dimensional (2D) patterns of the gel electrophoresis of a protein after it has been digested by one or more enzymes is introduced. With ECEP2D, students can gain deeper insights into gel electrophoresis by performing hands-on simulations. For example, students can visualize how…
Descriptors: Computer Software, Computer Simulation, Comparative Analysis, Biochemistry
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Wu, Jia-Fen – Reading Psychology, 2018
This study makes an effort to map the development of previous academic studies on picturebooks in order to provide an overview of contemporary picturebook research utilizing the HistCite (ver. 12.03.17) software. The findings are based on an analysis of 9,763 references to 286 articles from 175 journals indexed by the Web of Science (WoS)…
Descriptors: Bibliometrics, Databases, Picture Books, Journal Articles
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Hoog, Tanner G.; Aufdembrink, Lauren M.; Gaut, Nathaniel J.; Sung, Rou-Jia; Adamala, Katarzyna P.; Engelhart, Aaron E. – Biochemistry and Molecular Biology Education, 2020
Structural biology education commonly employs molecular visualization software, such as PyMol, RasMol, and VMD, to allow students to appreciate structure--function relationships in biomolecules. In on-ground, classroom-based education, these programs are commonly used on University-owned devices with software preinstalled. Remote education…
Descriptors: Technology Uses in Education, Handheld Devices, Telecommunications, Computer Simulation
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Gandra, Ana Paula; Aires, Ana Paula; Catarino, Paula – International Journal for Technology in Mathematics Education, 2020
This paper reports a study developed with twenty-six students from a 7th-grade class and was carried in the context of teaching experience in the school year of 2016/2017, using an applet, Equation Buster, on the learning of solving single-variable linear equations. The research objectives are to assess how this applet can help students to see the…
Descriptors: Mathematics Instruction, Teaching Methods, Generalization, Grade 7
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Reid, Edwin; Guise, Jeanne-Marie; Fiordalisi, Celia; Macdonald, Scott; Chang, Stephanie – Research Synthesis Methods, 2021
Evidence-based decision-making is predicated on the ability of users to find and comprehend results from systematic review. Evidence producers have an obligation to support evidence users in this process. The Agency for Healthcare Research and Quality (AHRQ) Evidence-based Practice Center (EPC) program--a producer of rigorous and comprehensive…
Descriptors: Evidence Based Practice, Decision Making, Criticism, Health Services
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Westgate, Martin J. – Research Synthesis Methods, 2019
The field of evidence synthesis is growing rapidly, with a corresponding increase in the number of software tools and workflows to support the construction of systematic reviews, systematic maps, and meta-analyses. Despite much progress, however, a number of problems remain, including slow integration of new statistical or methodological…
Descriptors: Computer Software, Statistical Analysis, Meta Analysis, Users (Information)
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Owen, Rhiannon K.; Bradbury, Naomi; Xin, Yiqiao; Cooper, Nicola; Sutton, Alex – Research Synthesis Methods, 2019
Background: Network meta-analysis (NMA) is a powerful analysis method used to identify the best treatments for a condition and is used extensively by health care decision makers. Although software routines exist for conducting NMA, they require considerable statistical programming expertise to use, which limits the number of researchers able to…
Descriptors: Network Analysis, Meta Analysis, Computer Software, Medical Research
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Hui, Bowen – International Journal of Information and Learning Technology, 2022
Purpose: The purpose of this work is to illustrate the processes involved in managing teams in order to assist designers and developers to build software that support teamwork. A deeper investigation into the role of team analytics is discussed in this article. Design/methodology/approach: Many researchers over the past several decades studied the…
Descriptors: Design, Guidelines, Research Needs, Teamwork
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Gordon, Sheldon P.; Gordon, Florence S. – International Journal for Technology in Mathematics Education, 2018
This article illustrates ways that dynamic software using some sophisticated techniques in Excel can be used to demonstrate fundamental ideas related to regression and correlation analysis to increase student understanding of the concepts and methods in elementary statistics courses and in courses at the college algebra/precalculus level that…
Descriptors: Visualization, Regression (Statistics), Correlation, Computer Software
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Shaw, Olivia R.; Hadden-Perilla, Jodi A. – Journal of Science Education for Students with Disabilities, 2020
Scientific disciplines spanning biology, biochemistry, and biophysics involve the study of proteins and their functions. Visualization of protein structures represents a barrier to education and research in these disciplines for students who are blind or visually impaired. Here, we present a software plugin for readily producing variable-height…
Descriptors: Visualization, Biochemistry, Molecular Structure, Students with Disabilities
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Lee, Ning Yuan; Tucker-Kellogg, Greg – Biochemistry and Molecular Biology Education, 2020
Understanding macromolecular structures is essential for biology education. Augmented reality (AR) applications have shown promise in science, technology, engineering, and mathematics (STEM) education, but are not widely used for protein visualization. While there are some tools for AR protein visualization, none of them are accessible to the…
Descriptors: Visualization, Molecular Structure, Computer Simulation, STEM Education
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Barneva, Reneta P.; Brimkov, Valentin E.; Walters, Lisa M. – Journal of Educational Technology Systems, 2018
In all areas of human activity, decision-making based on data analysis is very important. As the availability of data grows, it becomes critical to educate not only traditional students but also those individuals who are now in the workforce, as many of them are expected to manage the complex data streams and to provide evidence and guidance for…
Descriptors: Decision Making, Data Analysis, Visualization, Measurement Techniques
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Nagaoka, Shin-ichi; Kokubo, Tatsunobu; Teramae, Hiroyuki; Nagashima?, Umpei – Journal of Chemical Education, 2018
At an advanced stage of learning quantum chemistry, undergraduate students usually encounter simple Hückel-molecular-orbital (HMO) theory, whose primitive approach gives very useful insight into the electronic structure of p-conjugated molecules. However, on one hand, computational HMO software, when programmed without using molecular symmetry,…
Descriptors: Visualization, Chemistry, Science Instruction, Molecular Structure
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Argu¨ello, Jose´ M.; Dempski, Robert E. – Journal of Chemical Education, 2020
Facile visualization of biomolecules is an essential component of the undergraduate biochemistry curriculum. In the past, a number of tools have been used to display biomolecules. More recently, the advent of greater accessibility to virtual reality (VR) and augmented reality (AR) programs has created a new mechanism to visualize biomolecules.…
Descriptors: Visualization, Undergraduate Students, Biochemistry, Science Instruction
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