Survey of 400 practitioners identifies four failure archetypes for network segmentation projects, with uniform preference for general IT project management fixes over segmentation-specific ones.
Three approaches to qualitative content analysis
2 Pith papers cite this work. Polarity classification is still indexing.
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Low dropout risk CS1 students exhibited three distinct weekly learning strategies while high-risk students showed nine varied patterns, some temporary and recoverable and others signaling imminent dropout.
citing papers explorer
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Why Network Segmentation Projects Fail
Survey of 400 practitioners identifies four failure archetypes for network segmentation projects, with uniform preference for general IT project management fixes over segmentation-specific ones.
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Understanding Self-Regulated Learning Behavior Among High and Low Dropout Risk Students During CS1: Combining Trace Logs, Dropout Prediction and Self-Reports
Low dropout risk CS1 students exhibited three distinct weekly learning strategies while high-risk students showed nine varied patterns, some temporary and recoverable and others signaling imminent dropout.