Isint Performance Validation Test Report
Isint Performance Validation Test Report

Author: National Aeronautics and Space Administration (NASA)

Publisher: Createspace Independent Publishing Platform

Published: 2018-06-15

Total Pages: 32

ISBN-13: 9781721197477

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The Satellite Networks and Architectures branch is researching the application of standard Internet technologies over satellite communication links to LEO spacecraft. The In-Space Internet Testbed (ISINT) simulates this communications path through the use of two experimental subnets of workstations communicating over the Advanced Communications Technology Satellite (ACTS) proof-of-concept radio frequency testbed. In order to validate the end-to-end performance of ISINT, similar file transfers were sent over the RF testbed and over an actual ACTS T1 link. Comparison of the results shows that the ISINT facility has very similar performance to communications over ACTS. This test was only for a stationary point-to-point, bent pipe communications link. ISINT will be configured for more complex links now that point-to-point performance has been validated. Richard, Alan M. Glenn Research Center NASA/CR-1999-209407, NAS 1.26:209407, E-11935

Assessing Students' Digital Reading Performance
Assessing Students' Digital Reading Performance

Author: Jie HU

Publisher: Taylor & Francis

Published: 2022-12-30

Total Pages: 245

ISBN-13: 1000819981

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This book provides a systematic study of the Programme for International Student Assessment (PISA) based on big data analysis, aiming to examine the contextual factors relevant to students’ digital reading performance. The author first introduces the research landscape of educational data mining (EDM) and reviews the PISA framework since its launch and how it has become an important metric to assess the knowledge and skills of students from across the globe. With a focus on methodology and its applications, the book explores extant scholarship on the dynamic model of educational effectiveness, multi-level factors of digital reading performance, and the application of EDM approaches. The core chapter on the methodology examines machine learning algorithms, hierarchical linear modeling, mediation analysis, and data extraction and processing for the PISA dataset. The findings give insights into the influencing factors of students’ digital reading performance, allowing for further investigations on improving students’ digital reading literacy and more attention to the advancement of education effectiveness. The book will appeal to scholars, professionals, and policymakers interested in reading education, educational data mining, educational technology, and PISA, as well as students learning how to utilize machine learning algorithms in examining the mass global database.