User study with professional En-Nl translators found LLM-based error highlights and APE correction suggestions did not improve productivity or quality over standard post-editing but were better received and enhanced user experience.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems , pages =
2 Pith papers cite this work. Polarity classification is still indexing.
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RoboBlockly Studio integrates block programming, AI conversation, and robot execution to create a feedback loop that supports student agency, transparency, and reflection in computational thinking education, as tested with 32 high school students.
citing papers explorer
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Smarter edits? Post-editing with error highlights and translation suggestions
User study with professional En-Nl translators found LLM-based error highlights and APE correction suggestions did not improve productivity or quality over standard post-editing but were better received and enhanced user experience.
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RoboBlockly Studio: Conversational Block Programming with Embodied Robot Feedback for Computational Thinking
RoboBlockly Studio integrates block programming, AI conversation, and robot execution to create a feedback loop that supports student agency, transparency, and reflection in computational thinking education, as tested with 32 high school students.