{"title":"Inoculating students against misleading data visualizations with perceptual training and informative feedback","authors":"Jihyun Rho , Martina Angela Rau , Xiaojin Zhu","doi":"10.1016/j.compedu.2025.105413","DOIUrl":null,"url":null,"abstract":"<div><div>Misleading visualizations are a form of misinformation that distort data interpretation, leading to misunderstandings and poor decision-making. Despite their prevalence in both traditional and digital media, there is limited research on effective educational interventions that help students recognize and resist such deceptive visualization techniques. In this study, we developed a perceptual training intervention specifically designed to inoculate students against misleading visualizations. Unlike traditional perceptual trainings that typically involve only correct visuals, trainings for misleading visualizations require the inclusion of erroneous visual examples. While the informative feedback can help students to efficiently recognize such misleading visualizations and extract correct information, it may also disrupt the inductive learning during training, potentially reducing its overall effectiveness. To shed light into these possibilities, we investigated the role of informative feedback in a perceptual training designed for misleading visualizations. We conducted two experiments with large samples of undergraduate students (Experiment 1: N = 252, Experiment 2: N = 244). Experiment 1 tested the short-term effects of different informative feedback types during perceptual training, while Experiment 2 examined both the long-term retention (after one month) and near transfer to novel misleading visualizations. Results showed that informative feedback significantly improved students’ accuracy and efficiency in detecting misleading features within visualizations. Students also transferred these skills to novel misleading visualization types, and critically the benefits of informative feedback were sustained over a month. These results highlight the potential of perceptual trainings with informative feedback to inoculate students against misleading visualizations, offering valuable guidance for the development of educational interventions aimed at mitigating the effects of visual misinformation.</div></div>","PeriodicalId":10568,"journal":{"name":"Computers & Education","volume":"238 ","pages":"Article 105413"},"PeriodicalIF":8.9000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Education","FirstCategoryId":"95","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0360131525001812","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Misleading visualizations are a form of misinformation that distort data interpretation, leading to misunderstandings and poor decision-making. Despite their prevalence in both traditional and digital media, there is limited research on effective educational interventions that help students recognize and resist such deceptive visualization techniques. In this study, we developed a perceptual training intervention specifically designed to inoculate students against misleading visualizations. Unlike traditional perceptual trainings that typically involve only correct visuals, trainings for misleading visualizations require the inclusion of erroneous visual examples. While the informative feedback can help students to efficiently recognize such misleading visualizations and extract correct information, it may also disrupt the inductive learning during training, potentially reducing its overall effectiveness. To shed light into these possibilities, we investigated the role of informative feedback in a perceptual training designed for misleading visualizations. We conducted two experiments with large samples of undergraduate students (Experiment 1: N = 252, Experiment 2: N = 244). Experiment 1 tested the short-term effects of different informative feedback types during perceptual training, while Experiment 2 examined both the long-term retention (after one month) and near transfer to novel misleading visualizations. Results showed that informative feedback significantly improved students’ accuracy and efficiency in detecting misleading features within visualizations. Students also transferred these skills to novel misleading visualization types, and critically the benefits of informative feedback were sustained over a month. These results highlight the potential of perceptual trainings with informative feedback to inoculate students against misleading visualizations, offering valuable guidance for the development of educational interventions aimed at mitigating the effects of visual misinformation.
期刊介绍:
Computers & Education seeks to advance understanding of how digital technology can improve education by publishing high-quality research that expands both theory and practice. The journal welcomes research papers exploring the pedagogical applications of digital technology, with a focus broad enough to appeal to the wider education community.