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Intelligent Educational Data Analysis with Gaussian Processes

2018
As machine learning evolves, it is significant to apply machine learning techniques to the intelligent analysis on educational data and the establishment of more intelligent academic early warning system. In this paper, we use Gaussian process (GP)-based models to discover valuable inherent information in the educational data and make intelligent ...
Jiachun Wang   +3 more
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Intellectual data analysis in the educational process

2017 XX IEEE International Conference on Soft Computing and Measurements (SCM), 2017
Intellectual learning systems (ITS) are integrate subsystems of users, learning content, learning strategies, communication, processing of heterogeneous data and information in their architecture. ITS are developed as part of a blended/hybrid design initiative to support learning processes.
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Flowcharts in Data Processing Education: An Empirical Review

The Journal of Data Education, 1984
After being included for years in computer programming instruction, flowcharts have recently come under fire. The authors review the existing empirical research designed to test the usefulness of flowcharts. The results of experiments performed in fields ranging from computer science to educational psychology are compared and the authors find no reason
Louis Glorfeld, Jeff Palko
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DATA COLLECTION SYSTEMS IN THE EDUCATIONAL PROCESS

Herald of Technological University
Modern process control systems include the collection and processing of information, which is currently considered a «prerequisite», since the collection and archiving of information allows to resolve non-standard situations or simply generate a report, which is convenient and sometimes necessary. The article discusses the data collection system, using
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Application of Big Data in the Educational Process

2020
Scientific progress and automation of many processes contribute to the fact that in the modern world it is necessary to operate with big data. The education system has always generated a significant amount of data. We see the problem only in how to implement Big Data in Universities, because this process associated with gravest cost and time, and how ...
openaire   +1 more source

Data Processing Education—A Chronicle and a Projection

The Journal of Data Education, 1974
(1974). Data Processing Education—A Chronicle and a Projection. The Journal of Data Education: Vol. 15, No. 1, pp. 9-11.
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A springboard for data processing education in Oklahoma

Proceedings of the May 6-10, 1974, national computer conference and exposition on - AFIPS '74, 1974
Certainly the problems expressed in the preceding presentations have not been foreign to Oklahoma. Oklahoma has realized the vast need for a marriage between education and industry, particularly in the area of data processing where no traditional curriculum patterns exist and where there are no established career paths for data processing instructors ...
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An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy   +2 more
exaly  

Process mining from educational data

2010
Trcka, N.   +2 more
openaire   +3 more sources

Statistics for Education: With Data Processing

American Educational Research Journal, 1974
Richard Wolf, David White
openaire   +1 more source

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