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Showing 1 to 15 of 22 results Save | Export
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Aguilar, Stephen J. – Journal of Research on Technology in Education, 2018
This qualitative study focuses on capturing students' understanding two visualizations often utilized by learning analytics-based educational technologies: bar graphs, and line graphs. It is framed by Achievement Goal Theory--a prominent theory of students' academic motivation--and utilizes interviews (n = 60) to investigate how students at risk…
Descriptors: Comparative Analysis, Visualization, At Risk Students, College Students
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Decuypere, Mathias; Landri, Paolo – Critical Studies in Education, 2021
University rankings have become commonplace in higher education. Traditional quantified rankings do not merely measure educational performance: they equally grant status, enforce competition between institutions, and are emblematic for the ongoing capitalization of higher education. Drawing on the field of Science and Technology Studies, this…
Descriptors: Universities, Institutional Evaluation, Educational Quality, Institutional Characteristics
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Finch, Jannette L.; Flenner, Angela R. – College & Research Libraries, 2016
The authors generated data visualizations to compare sections of the library book collection, expenditures in those areas, student enrollment in majors and minors, and number of courses. The visualizations resulting from the entered data provide an excellent starting point for conversations about possible imbalances in the collection and point to…
Descriptors: Academic Libraries, Library Materials, Data, Data Analysis
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Albo, Laia; Hernandez-Leo, Davinia – IEEE Transactions on Learning Technologies, 2021
This article presents an evaluation of edCrumble, a blended learning authoring tool for teachers. The tool visually represents learning designs and integrates data analytics to scaffold teacher design decisions. In addition to assessing the usability of edCrumble using Usability Metric for User Experience questionnaire, analyses of participant…
Descriptors: Programming, Blended Learning, Teaching Methods, Instructional Design
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Erkens, Melanie; Bodemer, Daniel; Hoppe, H. Ulrich – International Journal of Computer-Supported Collaborative Learning, 2016
Orchestrating collaborative learning in the classroom involves tasks such as forming learning groups with heterogeneous knowledge and making learners aware of the knowledge differences. However, gathering information on which the formation of appropriate groups and the creation of graphical knowledge representations can be based is very effortful…
Descriptors: Cooperative Learning, Information Retrieval, Data Collection, Data Analysis
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Williamson, Ben – Journal of Education Policy, 2016
Educational institutions and governing practices are increasingly augmented with digital database technologies that function as new kinds of policy instruments. This article surveys and maps the landscape of digital policy instrumentation in education and provides two detailed case studies of new digital data systems. The Learning Curve is a…
Descriptors: Visualization, Synchronous Communication, Governance, Data Collection
Greatorex, Jackie; Rushton, Nicky; Coleman, Tori; Darlington, Ellie; Elliott, Gill – Cambridge Assessment, 2019
A curriculum map is a visualisation of relationships within and between a curriculum or curricula. Curriculum mapping refers to the method for creating and using the curriculum map, however this term is used broadly and encompasses a variety of methodological approaches. Often, researchers in the field of curriculum studies conduct curriculum…
Descriptors: Comparative Analysis, Visualization, Curriculum, Maps
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Cunningham-Nelson, Samuel; Baktashmotlagh, Mahsa; Boles, Wageeh – IEEE Transactions on Education, 2019
Contribution: An automated methodology that provides visualizations of students' free text comments from course satisfaction surveys. Focusing on sentiment, these visualizations reveal learning and teaching aspects of the course that either may require improvement or are performing well. They provide educators with a simple, systematic way to…
Descriptors: Student Attitudes, Visualization, Course Evaluation, Teaching Methods
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Anderson, Patricia F.; Shannon, Carol; Bickett, Skye; Doucette, Joanne; Herring, Pamela; Kepsel, Andrea; Lyons, Tierney; McLachlan, Scott; Wu, Lin – Research Synthesis Methods, 2018
When the Medical Library Association identified questions critical for the future of the profession, it assigned groups to use systematic reviews to find the answers to these questions. Group 6, whose question was on emerging technologies, recognized early on that the systematic review process would not work well for this question, which looks…
Descriptors: Case Studies, Comparative Analysis, Medical Research, Medical Libraries
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Rihák, Jirí; Pelánek, Radek – International Educational Data Mining Society, 2017
Educational systems typically contain a large pool of items (questions, problems). Using data mining techniques we can group these items into knowledge components, detect duplicated items and outliers, and identify missing items. To these ends, it is useful to analyze item similarities, which can be used as input to clustering or visualization…
Descriptors: Item Analysis, Data Analysis, Visualization, Simulation
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Chen, Gaowei; Clarke, Sherice N.; Resnick, Lauren B. – Technology, Instruction, Cognition and Learning, 2015
Teachers can reflect on and analyze their classroom discourse to inform their instructional practice. When teachers try to do so however, they often face analytic difficulties, which include the data set (e.g., data input, data transformation, and utterances by unknown speakers), coding (e.g., coding complexity, reliability, and efficiency),…
Descriptors: Discourse Analysis, Classroom Communication, Teaching Methods, Visualization
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Cooper, Linda L.; Shore, Felice S. – Journal of Statistics Education, 2010
Recognizing and interpreting variability in data lies at the heart of statistical reasoning. Since graphical displays should facilitate communication about data, statistical literacy should include an understanding of how variability in data can be gleaned from a graph. This paper identifies several types of graphs that students typically…
Descriptors: Graphs, Charts, Statistics, Visualization
Stofer, Kathryn A. – ProQuest LLC, 2013
Data visualizations designed for academic scientists are not immediately meaningful to everyday scientists. Communicating between a specialized, expert audience and a general, novice public is non-trivial; it requires careful translation. However, more widely available visualization technologies and platforms, including new three-dimensional…
Descriptors: Visualization, Science Education, Oceanography, Data Interpretation
Chen, Yu-Chien – ProQuest LLC, 2013
Augmented reality (AR) is an interactive system that allows users to interact with virtual objects and the real world at the same time. The purpose of this dissertation was to explore how AR, as a new visualization tool, that can demonstrate spatial relationships by representing three dimensional objects and animations, facilitates students to…
Descriptors: Computer Simulation, Visualization, Spatial Ability, Animation
Alwi, Asmidah; McKay, Elspeth – International Association for Development of the Information Society, 2013
The use of multimedia instructions for online learning has become very common particularly with the advances of the Internet technology. Consequently museums around the world utilize such information and communications technology (ICT) tools in order to provide richer learning experiences for their visitors. This paper discusses a study that…
Descriptors: Children, Museums, Learning Processes, Multimedia Instruction
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