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Klint Kanopka – ProQuest LLC, 2023
As online learning platforms and computerized testing become more common, an increasing amount of data are collected about users. These data include, but are not limited to, response time, keystroke logs, and raw text. The desire to observe these features of the response process reflect an underlying interest in the cognitive processes and…
Descriptors: Scores, Computation, Data Interpretation, Behavior Patterns
Jeremiah T. Stark – ProQuest LLC, 2024
This study highlights the role and importance of advanced, machine learning-driven predictive models in enhancing the accuracy and timeliness of identifying students at-risk of negative academic outcomes in data-driven Early Warning Systems (EWS). K-12 school districts have, at best, 13 years to prepare students for adulthood and success. They…
Descriptors: High School Students, Graduation Rate, Predictor Variables, Predictive Validity
Zelik, Daniel J. – ProQuest LLC, 2012
Cognitive Systems Engineering (CSE) has a history built, in part, on leveraging representational design to improve system performance. Traditionally, however, CSE has focused on visual representation of "monitored" processes--active, ongoing, and interconnected activities occurring in a system of interest and monitored by human…
Descriptors: Engineering, Information Systems, Internet, Data Analysis
Koc, Levent – ProQuest LLC, 2013
With increasing Internet connectivity and traffic volume, recent intrusion incidents have reemphasized the importance of network intrusion detection systems for combating increasingly sophisticated network attacks. Techniques such as pattern recognition and the data mining of network events are often used by intrusion detection systems to classify…
Descriptors: Bayesian Statistics, Computer Security, Computer Networks, Data Collection
Lin, Guixian – ProQuest LLC, 2009
The Cox proportional hazards model and the accelerated failure time model are frequently used in survival data analysis. They are powerful, yet have limitation due to their model assumptions. Quantile regression offers a semiparametric approach to model data with possible heterogeneity. It is particularly powerful for censored responses, where the…
Descriptors: Data Analysis, Computation, Probability, Simulation
Hoversten, Mary – ProQuest LLC, 2011
Numerous challenges can be associated with pursuing a degree as a Certified Registered Nurse Anesthetist (CRNA). The risk to perspective students and their nurse anesthesia programs may be lessened if success factors for program completion and passing of the national certification examination (NCE) could be identified. The purpose of this ex post…
Descriptors: Predictor Variables, Predictive Measurement, Success, Nursing Education

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