Preservice teachers’ recognition of source and content bias in educational application (app) reviews

可信赖性 心理学 确认偏差 选择偏差 证明 响应偏差 内容(测量理论) 出版偏见 社会心理学 统计 梅德林 化学 数学分析 数学 生物化学 广告 业务
作者
Alexandra List,Hye Yeon Lee,Hongcui Du,Gala S. Campos Oaxaca,Bailing Lyu,A. Lilyan Falcon,Chang-Jen Lin
出处
期刊:Computers in Human Behavior [Elsevier BV]
卷期号:134: 107297-107297 被引量:5
标识
DOI:10.1016/j.chb.2022.107297
摘要

Across two studies we examine the role of bias in preservice teachers' (PSTs) selection of educational applications for classroom use. In Study 1, participants were asked to rate and form recommendations based on four app reviews, varying in their source bias or commercial motivations (e.g., a sponsored post on a third-party review site; a commercial site with a real teacher testimonial) and in their introduction of one-sided or two-sided content (i.e., content bias). In Study 2, participants were asked to rate eight differentially attributed app reviews and complete two bias discrimination tasks, purposefully constructed to capture PSTs’ reasoning about source bias and content bias. Results from Study 1 showed that PSTs were somewhat effective at discounting reviews demonstrating source bias but were less effective at considering content bias. Study 2 showed that while PSTs considered two-sided information to be more trustworthy than one-sided information, they did not seem to differentiate between commercially biased reviews, of different types. Implications for supporting PSTs and all students to reason about forms of bias are discussed.

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