AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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It is concluded that building self-efficacy through authentic mastery experiences and changing attitudes related to help-seeking are critical elements for educational technology design in this context.
This work develops an interface that enables plan tracing and allows learners to receive AI feedback on their plans before writing code and reflects on the design and use of the tool, identifying what worked, what didn't, and why, and offers recommendations for instructors and tool designers.
It is found that LLMs outperform expectations at replicating comment structure and formality, but struggle to accurately capture nuanced emotions, e.g. understating joy and overstating anger.
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