all AI news
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. (arXiv:2205.01730v1 [cs.CL])
Web: http://arxiv.org/abs/2205.01730
May 5, 2022, 1:11 a.m. | Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong
cs.CL updates on arXiv.org arxiv.org
Question generation (QGen) models are often evaluated with standardized NLG
metrics that are based on n-gram overlap. In this paper, we measure whether
these metric improvements translate to gains in a practical setting, focusing
on the use case of helping teachers automate the generation of reading
comprehension quizzes. In our study, teachers building a quiz receive question
suggestions, which they can either accept or refuse with a reason. Even though
we find that recent progress in QGen leads to a …
More from arxiv.org / cs.CL updates on arXiv.org
Latest AI/ML/Big Data Jobs
Director, Applied Mathematics & Computational Research Division
@ Lawrence Berkeley National Lab | Berkeley, Ca
Business Data Analyst
@ MainStreet Family Care | Birmingham, AL
Assistant/Associate Professor of the Practice in Business Analytics
@ Georgetown University McDonough School of Business | Washington DC
Senior Data Science Writer
@ NannyML | Remote
Director of AI/ML Engineering
@ Armis Industries | Remote (US only), St. Louis, California
Digital Analytics Manager
@ Patagonia | Ventura, California