An in-IDE multi-agent tutor called Prompt Coach uses Socratic guidance to improve developers' code-generation prompts, showing a 13.7% quality gain in a 15-person pre/post study.
"My toxic trait is thinking I'll remember this": gaps in the learner experience of video tutorials for feature-rich software
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abstract
Video tutorials are a popular medium for informal and formal learning. However, when learners attempt to view and follow along with these tutorials, they encounter what we call gaps, that is, issues that can prevent learning. We examine the gaps encountered by users of video tutorials for feature-rich software, such as spreadsheets. We develop a theory and taxonomy of such gaps, identifying how they act as barriers to learning, by collecting and analyzing 360 viewer comments from 90 Microsoft Excel video tutorials published by 43 creators across YouTube, TikTok, and Instagram. We conducted contextual interviews with 8 highly influential tutorial creators to investigate the gaps their viewers experience and how they address them. Further, we obtain insights into their creative process and frustrations when creating video tutorials. Finally, we present creators with two designs that aim to address gaps identified in the comment analysis for feedback and alternative design ideas.
fields
cs.SE 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
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Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development
An in-IDE multi-agent tutor called Prompt Coach uses Socratic guidance to improve developers' code-generation prompts, showing a 13.7% quality gain in a 15-person pre/post study.