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Showing 1 to 15 of 47 results Save | Export
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Goran Trajkovski; Heather Hayes – Digital Education and Learning, 2025
This book explores the transformative role of artificial intelligence in educational assessment, catering to researchers, educators, administrators, policymakers, and technologists involved in shaping the future of education. It delves into the foundations of AI-assisted assessment, innovative question types and formats, data analysis techniques,…
Descriptors: Artificial Intelligence, Educational Assessment, Computer Uses in Education, Test Format
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Tolsgaard, Martin G.; Boscardin, Christy K.; Park, Yoon Soo; Cuddy, Monica M.; Sebok-Syer, Stefanie S. – Advances in Health Sciences Education, 2020
Data science is an inter-disciplinary field that uses computer-based algorithms and methods to gain insights from large and often complex datasets. Data science, which includes Artificial Intelligence techniques such as Machine Learning (ML), has been credited with the promise to transform Health Professions Education (HPE) by offering approaches…
Descriptors: Allied Health Occupations Education, Data Analysis, Artificial Intelligence, Theories
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Evans, John S. O.; Evans, Ivana Radosavljevic – Journal of Chemical Education, 2021
Powder diffraction is one of the most widely used analytical techniques for characterizing solid state materials. It can be used for phase or polymorph identification, quantitative analysis, cell parameter determination, or even full crystal structure analysis using the powerful Rietveld refinement method. As with much of modern crystallography,…
Descriptors: College Science, Science Instruction, Spreadsheets, Computer Uses in Education
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Bydžovská, Hana – International Educational Data Mining Society, 2016
One of the main problems faced by university students is to create and manage the semester course plan. In this paper, we present a course enrollment recommender system based on data mining techniques. The system mainly helps with students' enrollment decisions. More specifically, it provides recommendation of selective and optional courses with…
Descriptors: Enrollment, College Students, Course Selection (Students), Data Analysis
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Slater, Stefan; Joksimovic, Srecko; Kovanovic, Vitomir; Baker, Ryan S.; Gasevic, Dragan – Journal of Educational and Behavioral Statistics, 2017
In recent years, a wide array of tools have emerged for the purposes of conducting educational data mining (EDM) and/or learning analytics (LA) research. In this article, we hope to highlight some of the most widely used, most accessible, and most powerful tools available for the researcher interested in conducting EDM/LA research. We will…
Descriptors: Data Analysis, Data Processing, Computer Uses in Education, Educational Research
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Friesen, Norm – Canadian Journal of Learning and Technology, 2013
This position paper introduces the relatively new field of learning analytics, first by considering the relevant meanings of both "learning" and "analytics," and then by looking at two main levels at which learning analytics can be or has been implemented in educational organizations. Although integrated turnkey systems or…
Descriptors: Learning, Data Analysis, Data Collection, Computer Uses in Education
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San Diego, Jonathan P.; Aczel, James C.; Hodgson, Barbara K.; Scanlon, Eileen – Educational Technology Research and Development, 2012
When learners use computers, they typically look at the screen, type, use the mouse, talk, write, sketch and make gestures. This paper identifies technical, practical, ethical and methodological challenges associated with traditional methods for studying such interactions. It examines the potential of recent technologies for identifying learners'…
Descriptors: Interaction, Computer Uses in Education, Nonverbal Communication, Verbal Communication
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Cope, Bill; Kalantzis, Mary – Open Review of Educational Research, 2015
This article sets out to explore a shift in the sources of evidence-of-learning in the era of networked computing. One of the key features of recent developments has been popularly characterized as "big data". We begin by examining, in general terms, the frame of reference of contemporary debates on machine intelligence and the role of…
Descriptors: Data Analysis, Evidence, Computer Uses in Education, Artificial Intelligence
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Vo, Melissa L. -H.; Wolfe, Jeremy M. – Journal of Experimental Psychology: Human Perception and Performance, 2012
One might assume that familiarity with a scene or previous encounters with objects embedded in a scene would benefit subsequent search for those items. However, in a series of experiments we show that this is not the case: When participants were asked to subsequently search for multiple objects in the same scene, search performance remained…
Descriptors: Familiarity, Memory, Spatial Ability, Guidance
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Al-Aziz, Jameel; Christou, Nicolas; Dinov, Ivo D. – Journal of Statistics Education, 2010
The amount, complexity and provenance of data have dramatically increased in the past five years. Visualization of observed and simulated data is a critical component of any social, environmental, biomedical or scientific quest. Dynamic, exploratory and interactive visualization of multivariate data, without preprocessing by dimensionality…
Descriptors: Data Analysis, Visualization, Visual Aids, Open Source Technology
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Liu, Dennis – CBE - Life Sciences Education, 2010
Biology is well suited for mathematical description, from the perfect geometry of viruses, to equations that describe the flux of ions across cellular membranes, to computationally intensive models for protein folding. For this short Web review, however, the author focuses on how mathematics helps biologists sort, evaluate, and draw conclusions…
Descriptors: Computer Uses in Education, Teaching Methods, Biology, Science Instruction
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Newell, Markeda L.; Newell, Terrance S. – Psychology in the Schools, 2011
The purpose of this study was to analyze how school psychologists engaged in problem analysis during problem-solving consultation. Five aspects of the problem analysis process were examined: 1) the types of questions participants asked during problem identification, 2) the types of data participants requested, 3) the frequency of requests for each…
Descriptors: School Psychologists, Identification, Problem Solving, Simulated Environment
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Verbert, Katrien; Manouselis, Nikos; Drachsler, Hendrik; Duval, Erik – Educational Technology & Society, 2012
In various research areas, the availability of open datasets is considered as key for research and application purposes. These datasets are used as benchmarks to develop new algorithms and to compare them to other algorithms in given settings. Finding such available datasets for experimentation can be a challenging task in technology enhanced…
Descriptors: Foreign Countries, Computer Uses in Education, Information Technology, Open Source Technology
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Huang, Tony Cheng-Kui; Huang, Chih-Hong – Computers & Education, 2010
With advances in information and network technologies, lots of data have been digitized to reveal information for users by the construction of Web sites. Unfortunately, they are both overloading and overlapping in Internet so that users cannot distinguish their quality. To address this issue in education, Hwang, Huang, and Tseng proposed a group…
Descriptors: Web Sites, Intention, Internet, Evaluation Methods
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Derenne, Adam; Loshek, Eevett – Behavior Analyst Today, 2009
This paper describes materials designed for classroom projects on stimulus generalization and peak shift. A computer program (originally written in QuickBASIC) is used for data collection and a Microsoft Excel file with macros organizes the raw data on a spreadsheet and creates generalization gradients. The program is designed for use with human…
Descriptors: Computer Software, Stimulus Generalization, Data Collection, Evaluation Methods
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