ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions

A Student Selected Team Based Capstone Project In Rf Communications

“…Our student-driven approach gives students more autonomy and practice with self-monitoring their own learning, with the end goal of helping students' conceptual understanding of the text. Secondly, our tool is compatible with any articles that have a PDF version (not HTML), thus broadening the scope of compatible papers beyond merely publications since 2018 [18]. Lastly, our tool aligns with the American Association of Colleges and Universities (AACU)'s VALUE rubric that evaluates student reading comprehension capabilities, as later outlined in Section 4.3.…”

“…An augmented reading interface that encourages active participation from students came out in late April 2023, and is titled "ReadingQuizMaker: A Human-NLP Collaborative System that Supports Instructors to Design High-Quality Reading Quiz Questions", by Xinyi Lu et al [18]. As suggested by the title, ReadingQuizMaker incorporates Natural Language Processing (NLP) models into a document-viewing interface to support instructors in their design of high-quality reading comprehension question for students.…”