File:Mining predictors of success in air force flight training regimens via semantic analysis of instructor evaluations (IA miningpredictors1094558315).pdf
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Summary[edit]
Mining predictors of success in air force flight training regimens via semantic analysis of instructor evaluations ( ) | ||
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Author |
Hwang, Jaesung |
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Title |
Mining predictors of success in air force flight training regimens via semantic analysis of instructor evaluations |
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Publisher |
Monterey, California: Naval Postgraduate School |
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Description |
Most educational curricula have step-by-step learning objectives accompanied by some type of assessment that can be used to analyze student outcomes and trends. When these assessments are unstructured textual feedback, it is difficult to extract meaningful indicators that point to student success. In this thesis, we create a graphical representation of the text corpus of each individual student assessment in a flight-training program used by the Republic of Korea’s Air Force. From it, we develop a coherent topic model, which allows us to characterize the training program. We then utilize the graphical representation of student assessments, together with the extracted topic model, to extract meaningful information from each assessment. This allows us to develop a statistical model to predict student outcomes. This information also allows us to quantitatively assess the importance of each topic, characteristics of instructor feedback and their connection to student success, as well as other factors. We apply our methodology to the criticism text written in the flight-training program student evaluations in order to construct a model that accurately predicts passing and failing based on extracted factors. We provide instructors and students recommendations for improving the success rate of the flight-training course. Subjects: text mining; feedback analysis; semantic network; binary classification |
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Language | English | |
Publication date | March 2018 | |
Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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Accession number |
miningpredictors1094558315 |
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Source | ||
Permission (Reusing this file) |
Copyright is reserved by the copyright owner. |
Licensing[edit]
Public domainPublic domainfalsefalse |
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This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. |
https://creativecommons.org/publicdomain/mark/1.0/PDMCreative Commons Public Domain Mark 1.0falsefalse
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Short title | Mining predictors of success in air force flight training regimens via semantic analysis of instructor evaluations |
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Author | Hwang, Jaesung |
Software used | Hwang, Jaesung |
Conversion program | Microsoft: Print To PDF |
Encrypted | no |
Page size |
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Version of PDF format | 1.4 |