CriTrainer: An Adaptive Training Tool for Critical Paper Reading

Kangyu Yuan, Hehai Lin, Shilei Cao, Zhenhui Peng, Qingyu Guo, Xiaojuan Ma

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

16 Citations (Scopus)

Abstract

Learning to read scientific papers critically, which requires first grasping their main ideas and then raising critical thoughts, is important yet challenging for novice researchers. The traditional ways to develop critical paper reading (CPR) skills, e.g., checking general tutorials or taking reading courses, often can not provide individuals with adaptive and accessible support. In this paper, we first derive user requirements of a CPR training tool based on literature and a survey study (N=52). Then, we develop CriTrainer , an interactive tool for CPR training. It leverages text summarization techniques to train readers' skills in grasping the paper's main ideas. It further utilizes template-based generated questions to help them learn how to raise critical thoughts. A mixed-design study (N=24) shows that compared to a baseline tool with general CPR guidance, students trained by CriTrainer perform better in independently raising critical thinking questions on a new paper. We conclude with design considerations for CPR training tools.

Original languageEnglish
Title of host publicationUIST 2023 - Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9798400701320
DOIs
Publication statusPublished - 29 Oct 2023
Event36th Annual ACM Symposium on User Interface Software and Technology, UIST 2023 - San Francisco, United States
Duration: 29 Oct 20231 Nov 2023

Publication series

NameUIST 2023 - Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

Conference

Conference36th Annual ACM Symposium on User Interface Software and Technology, UIST 2023
Country/TerritoryUnited States
CitySan Francisco
Period29/10/231/11/23

Bibliographical note

Publisher Copyright:
© 2023 ACM.

Keywords

  • Critical thinking
  • Human-centered computing
  • Paper reading

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