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This demo paper introduces a web application that provides scalable feedback on free-text responses according to lecturer-defined criteria. The paper presents the application’s key elements, detailing its technical architecture, preliminary findings from prototype development and evaluation, and insights gained from deployment in a distance learning course involving lecturers and students.

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In-House GenAI for Corrective Formative Feedback in Higher Education

  • 会议论文

  • 发表日期：

    2026年

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  • Michael Hanses,
  • Heike Karolyi,
  • Joachim Wöhrle,
  • Claudia de Witt

摘要

This demo paper introduces a web application that provides scalable feedback on free-text responses according to lecturer-defined criteria. The paper presents the application’s key elements, detailing its technical architecture, preliminary findings from prototype development and evaluation, and insights gained from deployment in a distance learning course involving lecturers and students.