In academia, student evaluation of instructors is the most utilized assessment of educators’ effectiveness, which in turn, can influence faculty promotion, tenure and career trajectory. However, ample body of literature demonstrates that students’ implicit bias and stereotyped expectations can negatively impact their evaluation of instructors in the classroom and in online learning environments. Studies on gender and age bias revealed that digital resources and instructors are evaluated differently based on the voice qualities that carry different age and gender characteristic. Further, in our previous study, male voice containing ethnic characteristics expressed in different accents showed differences in student evaluations despite the consistently positive learning outcomes. In the current, IRB‐exempt study (#17‐1510), the experimental condition expanded to test students’ learning outcomes and evaluation of digital resources narrated by a female voice with different ethnic qualities. Four identical digital learning resources introducing histology, embryology and anatomy of the pituitary were narrated by a female voice actor in 4 different accents (American, Chinese, Indian, British). Professional science students who had not yet learned any aspect of pituitary gland were recruited to participate in a randomized single blind study. Participants were randomly assigned to 4 groups (A, B, C, D) and received one of the four digital resources. All students completed a pre and post‐quiz before and after tutorial viewing and a resource and instructor evaluation. Learning outcomes were assessed by pre and post‐quiz comparison using Two‐Way ANOVAs. Quantitative data from evaluations were analyzed by Two‐way ANOVAs with Tukey post hoc tests where appropriate. Internal reliability of the evaluation items was measured across 4 groups by Cronbach’s Alpha (0.88, 0.94 for digital resource and instructor, respectively).126 students completed the study (A, n=33, B, n=28 C, n=32. D, n=30). All groups performed significantly better on the post‐quiz compared to the pre‐quiz (p<0.05; partial η2 = 0.53), but the performance increase across the 4 groups was not significantly different (p>0.05) suggesting that learning occurs from the digital tutorials and that narrator accent has no effect on learning. There was no significant difference in evaluation scores for the tutorial or the instructor across the 4 groups (p>0.05). Interestingly, all 4 groups rated the tutorials higher than the instructor (p<0.05; partial η2 = 0.14), suggesting that students value the digital resources higher than the instructor narrating them. This study reveals for the first‐time, student learning and evaluation of a female accented digital instructor, which may have important implications in the increasingly diverse and digital world of education.
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