TY - JOUR
T1 - Preservice teachers’ recognition of source and content bias in educational application (app) reviews
AU - List, Alexandra
AU - Lee, Hye Yeon
AU - Du, Hongcui
AU - Campos Oaxaca, Gala S.
AU - Lyu, Bailing
AU - Falcon, A. Lilyan
AU - Lin, Chang Jen
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/9
Y1 - 2022/9
N2 - 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.
AB - 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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U2 - 10.1016/j.chb.2022.107297
DO - 10.1016/j.chb.2022.107297
M3 - Article
AN - SCOPUS:85129445328
SN - 0747-5632
VL - 134
JO - Computers in Human Behavior
JF - Computers in Human Behavior
M1 - 107297
ER -